KR102651981B1 - A non-invasive glucose measurement device and method for providing customized information and a system therefor - Google Patents

Abstract

The present invention relates to a non-invasive glucose measurement device and method that provides customized information, and a system therefor.
To this end, a non-invasive glucose measurement device that provides customized information according to an embodiment of the present invention acquires big data related to glucose, acquires correction information stored in memory and glucose measurement data for the user, and performs deep learning Using deep learning, customized correction information and customized setting information are generated based on the acquired big data, the glucose measurement data is transmitted to a server through a mobile terminal, and the glucose measurement data is received from the server through the mobile terminal. Customized information can be displayed.

Description

Non-invasive glucose measurement device and method for providing customized information and system therefor {A NON-INVASIVE GLUCOSE MEASUREMENT DEVICE AND METHOD FOR PROVIDING CUSTOMIZED INFORMATION AND A SYSTEM THEREFOR}

The present invention relates to a non-invasive glucose measurement device and method that provides customized information, and a system therefor.

In general, it is reported that one in seven (13.8%) of the adult population over 30 years of age in Korea suffers from diabetes. As age increases, the prevalence of diabetes increases, to the extent that 3 out of 10 adults over the age of 65 are reported to have diabetes. Currently, diabetes is one of the diseases with a high prevalence.

Representative measuring devices for measuring blood sugar include invasive measuring devices and non-invasive measuring devices that measure blood sugar through a small amount of capillary blood instead of venous blood.

This conventional invasive blood sugar measurement device measures blood sugar by piercing a needle into the tip of a finger or an alternate part and using a small amount of secreted blood. The prior literature includes Korean Patent Publication No. 10-1288400.

However, in this conventional invasive blood sugar measuring device, the user pierces the skin with a needle each time a measurement is performed, so not only does the user feel pain each time, but there is a risk of bacteria infiltrating the skin.

Additionally, a conventional non-invasive blood glucose measurement device (e.g., Continuous Glucose Monitoring System, CGMS) measures the glucose concentration of interstitial fluid existing between tissues by inserting a needle-shaped sensor into the skin.

However, this conventional non-invasive blood sugar measurement device cannot be considered a completely non-invasive blood sugar measurement device because it requires inserting a sensor into the skin. In addition, measuring blood sugar involves a complex measurement step of injecting a certain amount of capillary blood into a test strip combined with a measuring device through a painful blood collection method using a lancing device at the tip of the finger, which can lead to hygiene issues and inconveniences in use. In addition, there is a problem of low accuracy.

In addition, conventional non-invasive blood glucose measurement devices provide customized information to the user to maintain and manage glucose based on the user's environment (e.g., glucose level, finger temperature, pressure by the finger, calibration information of the non-invasive blood glucose measurement device, etc.) failed to provide.

Accordingly, there is a need for a non-invasive glucose measurement device and system that provides customized information to the user.

Therefore, the present invention provides a non-invasive glucose measurement device and method that measures glucose by reflecting both the temperature and pressure of the finger and provides customized information to the user through deep learning based on the measurement results.

In addition, the present invention provides a non-invasive glucose measurement device and method, and a system for customizing the calibration and settings of the non-invasive glucose measurement device to the user using big data received from a server.

The objects of the present invention are not limited to the objects mentioned above, and other objects and advantages of the present invention that are not mentioned can be understood through the following description and will be more clearly understood by examples of the present invention. Additionally, it will be readily apparent that the objects and advantages of the present invention can be realized by the means and combinations thereof indicated in the patent claims.

To achieve this purpose, a non-invasive glucose measurement device that provides customized information according to an embodiment of the present invention is located on one side of the internal seating portion, and a light irradiation unit that irradiates light toward the finger inserted into the inner seating portion. ; a light receiving unit located on the other side of the inner seating part with the finger in between, and receiving the light irradiated from the light irradiation unit and passing through the finger; and converting the current corresponding to the amount of light of the received light beam into voltage, filtering the frequency of the converted voltage into a predetermined frequency band, and measuring the user's glucose based on the voltage of the filtered frequency and the measured pressure. and a control unit configured to do so, wherein the control unit includes: a memory for storing the measured glucose; display unit; Ministry of Communications; and acquire big data related to glucose through the communication unit, obtain correction information stored in the memory and glucose measurement data for the user, and use deep learning to customize the data based on the acquired big data. It may include a processor configured to generate correction information and customized setting information, transmit the glucose measurement data to a server through a mobile terminal, and display customized information received from the server through the mobile terminal.

Additionally, in the method of a non-invasive glucose measuring device that provides customized information according to an embodiment of the present invention, the non-invasive glucose measuring device is located on one side of the internal seating portion, and the finger inserted into the internal seating portion A light irradiation unit that irradiates a ray of light toward, and a light receiving unit located on the other side of the internal seating part with the finger in between, and a light receiver that receives the ray irradiated from the light irradiation unit and passing through the finger, the method comprising: , the process of acquiring big data related to glucose through the Department of Communications; A process of acquiring correction information stored in memory and glucose measurement data for the user; A process of generating customized correction information and customized setting information based on the acquired big data using deep learning; A process of transmitting the glucose measurement data to a server through a mobile terminal; and displaying customized information received from the server through the mobile terminal.

In addition, a system that provides customized information using a non-invasive glucose measurement device according to an embodiment of the present invention includes a server that stores big data related to glucose; a mobile terminal in communication with the server and the non-invasive glucose measurement device; and a light irradiation unit located on one side of the internal seating unit and irradiating light toward the finger inserted into the internal seating unit, located on the other side of the internal seating unit with the finger in between, and irradiated from the light irradiation unit to the finger. A light receiving unit for receiving a light beam that has passed through a finger, converting a current corresponding to the amount of light of the received light beam into a voltage, filtering the frequency of the converted voltage into a predetermined frequency band, and combining the voltage of the filtered frequency with the A non-invasive glucose measuring device including a control unit set to measure the user's glucose based on the measured pressure, wherein the non-invasive glucose measuring device acquires the big data, corrects information stored in a memory, and provides information to the user. Obtain glucose measurement data, use deep learning to generate customized correction information and customized setting information based on the acquired big data, and transmit the glucose measurement data to the server through the mobile terminal. , may include a processor set to display customized information received from the server through the mobile terminal.

In addition, a system that provides customized information using a non-invasive glucose measurement device according to an embodiment of the present invention is located on one side of the internal seating portion, and has a light irradiation unit that radiates light toward the finger inserted into the inner seating portion. , a light receiving unit located on the other side of the internal seating part with the finger in between, and receiving a light ray irradiated from the light irradiation unit and passing through the finger, and converting a current corresponding to the amount of light of the received light beam into voltage; , a non-invasive glucose measurement device including a control unit set to filter the frequency of the converted voltage into a predetermined frequency band and measure the user's glucose based on the voltage of the filtered frequency and the measured pressure; a mobile terminal transmitting glucose measurement data for the user to a server; And when the glucose measurement data is received, it includes a server that generates customized information based on the received glucose measurement data using deep learning, wherein the customized information may include dietary information and lifestyle information customized to the user. You can.

The present invention uses deep learning to generate customized correction information and customized setting information based on big data, transmits it to the server, and receives and displays the customized information from the server, so that the user can check his/her glucose level. You can conveniently check customized information.

Additionally, the present invention allows the non-invasive glucose measurement device to be customized to the user by reflecting customized setting information to the non-invasive glucose measurement device.

Additionally, the non-invasive glucose measurement device of the present invention can recommend healthy eating habits, eating habits, and lifestyle habits to the user by displaying customized information.

In addition to the above-described effects, specific effects of the present invention are described below while explaining specific details for carrying out the invention.

1 is a cross-sectional view of a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 2 is a diagram showing a light irradiation unit and a light reception unit according to an embodiment of the present invention.
Figure 3 is a block diagram of a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 4 is a perspective view showing the external appearance of a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 5 is a perspective view showing the entrance of a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 6 is an exploded perspective view of a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 7 is a perspective view showing a first case according to an embodiment of the present invention.
Figure 8 is a perspective view showing a state in which a measurement guide is installed in a first case according to an embodiment of the present invention.
Figure 9 is a plan view showing a state in which a measurement guide is installed in a first case according to an embodiment of the present invention.
Figure 10 is a block diagram of a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 11 is an exemplary diagram showing a state in which light is emitted from a light irradiation unit according to an embodiment of the present invention.
Figure 12 (a) is an exemplary view of the light irradiation unit according to an embodiment of the present invention as seen from the top.
Figure 12 (b) is an exemplary cross-sectional view of a light irradiation unit according to an embodiment of the present invention.
Figure 13 is a schematic diagram showing the location of a pressure sensor in a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 14 (a) is an exemplary diagram showing the upper part of the second case in the non-invasive glucose measurement device according to another embodiment of the present invention.
Figure 14 (b) is an exemplary diagram showing the lower part of the second case equipped with the pressure measuring unit in the non-invasive glucose measurement device according to another embodiment of the present invention.
Figure 14 (c) is an exemplary diagram showing at least one pressure measuring unit in a non-invasive glucose measurement device according to another embodiment of the present invention.
Figure 15 is a flowchart showing the process of correcting glucose by reflecting temperature and pressure according to an embodiment of the present invention.
Figure 16 is a flowchart showing the process of correcting glucose by reflecting temperature and pressure according to another embodiment of the present invention.
Figure 17 is a flowchart showing the process of correcting glucose by reflecting temperature and pressure according to another embodiment of the present invention.
Figure 18 is a flowchart showing a process in which a non-invasive glucose measurement device measures glucose by reflecting temperature and pressure according to an embodiment of the present invention.
Figure 19 is a flowchart showing a process in which a non-invasive glucose measurement device measures glucose by reflecting pressure according to another embodiment of the present invention.
Figure 20 is an exemplary diagram showing the layer structure of software of a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 21 is a layer relationship diagram of software of a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 22 is a flowchart showing a process in which a non-invasive glucose measurement device and a portable terminal transmit and receive history information about glucose measurement according to an embodiment of the present invention.
Figure 23 is an exemplary diagram showing a status bar displayed on the input/output unit of a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 24 (a) is an exemplary diagram showing a state in which a non-invasive glucose measurement device according to an embodiment of the present invention has not established a BLE connection with a portable terminal.
Figure 24 (b) is an exemplary diagram showing a state in which a BLE connection is established between a non-invasive glucose measurement device and a portable terminal according to an embodiment of the present invention.
Figure 24 (c) is an exemplary diagram showing a state in which a BLE connection is established between a mobile terminal and a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 25 (a) is an example diagram showing history information about glucose measurement in a portable terminal according to an embodiment of the present invention.
Figure 25(b) is an exemplary diagram showing a glucose measurement value displayed by a portable terminal according to an embodiment of the present invention.
Figure 26 is a flowchart showing the operation process of a system that provides customized information using a non-invasive glucose measurement device according to an embodiment of the present invention.
Figure 27 is a flowchart showing the operation process of a system that provides customized information using a non-invasive glucose measurement device according to another embodiment of the present invention.
Figure 28 is an example diagram schematically showing the configuration of a deep learning neural network used in the non-invasive glucose measurement device or server of the present invention.
FIG. 29 is an example diagram showing the deep learning neural network shown in FIG. 28 reorganized into a matrix form.

The above-mentioned objects, features, and advantages will be described in detail later with reference to the attached drawings, so that those skilled in the art will be able to easily implement the technical idea of the present invention. In describing the present invention, if it is determined that a detailed description of known technologies related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the attached drawings. In the drawings, identical reference numerals are used to indicate identical or similar components.

Although first, second, etc. are used to describe various components, these components are of course not limited by these terms. These terms are only used to distinguish one component from another component, and unless specifically stated to the contrary, the first component may also be a second component.

Hereinafter, the “top (or bottom)” of a component or the arrangement of any component on the “top (or bottom)” of a component means that any component is placed in contact with the top (or bottom) of the component. Additionally, it may mean that other components may be interposed between the component and any component disposed on (or under) the component.

Additionally, when a component is described as being “connected,” “coupled,” or “connected” to another component, the components may be directly connected or connected to each other, but the other component is “interposed” between each component. It should be understood that “or, each component may be “connected,” “combined,” or “connected” through other components.

Throughout the specification, unless otherwise stated, each element may be singular or plural.

As used herein, singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, terms such as “consists of” or “comprises” should not be construed as necessarily including all of the various components or steps described in the specification, and some of the components or steps may include It may not be included, or it should be interpreted as including additional components or steps.

Throughout the specification, when referred to as “A and/or B”, this means A, B or A and B, unless specifically stated to the contrary, and when referred to as “C to D”, this means unless specifically stated to the contrary. Unless absent, it means C or higher and D or lower.

Hereinafter, a non-invasive glucose measurement device and method for correcting glucose measurement by upgrading software according to some embodiments of the present invention will be described.

Figure 1 is a cross-sectional view of a non-invasive glucose measurement device 1 according to an embodiment of the present invention. Figure 2 is a diagram showing a light irradiation unit 130 and a light reception unit 140 according to an embodiment of the present invention. Figure 3 is a block diagram of a non-invasive glucose measurement device 1 according to an embodiment of the present invention.

As shown in FIGS. 1 to 3, the non-invasive glucose measurement device 1 according to an embodiment of the present invention measures the measurement subject 180 with an internal seating portion 30 provided inside the housing portion 10. ) moves the finger 182, the light irradiation unit 130 radiates light in the direction of the finger 182, and the light receiving unit 140 disposed between the light irradiation unit 130 and the finger 182 transmits the light ray. The irradiation unit 130 measures the amount of light irradiated and transmitted through the finger 182. Then, the light receiving unit 140 transmits the measured amount of light to the control unit 150.

The non-invasive glucose measurement device 1 according to an embodiment of the present invention includes a housing part 10, an internal seating part 30, a measurement guide part 80, a light irradiation part 130, a light receiving part 140, and Includes a control unit 150. Additionally, the non-invasive glucose measurement device 1 according to an embodiment of the present invention may further include a pressure sensor 160 and a temperature sensor unit 170.

[Housing Department]

According to one embodiment, the housing unit 10 can be modified in various ways within the technical concept of having a mounting space on the inside. The housing unit 10 according to an embodiment of the present invention includes an upper case 12 and a lower case 14.

Figure 4 is a perspective view showing the external appearance of the non-invasive glucose measurement device 1 according to an embodiment of the present invention. Figure 5 is a perspective view showing the entrance of the non-invasive glucose measurement device 1 according to an embodiment of the present invention. Figure 6 is an exploded perspective view of the non-invasive glucose measurement device 1 according to an embodiment of the present invention.

As shown in FIGS. 4 to 6, the housing portion 10 further includes a side case portion 16, a case cover 18, and a housing frame 19 in addition to the upper case 12 and the lower case 14. It can be included.

According to one embodiment, the upper case 12 is installed in a shape that surrounds the upper part of the internal seating part 30 and forms the upper outer shape of the non-invasive glucose measurement device 1. The longitudinal cross-section of the upper case 12 according to an embodiment of the present invention is installed in an “L” shape.

According to one embodiment, the lower case 14 is connected to the lower side of the upper case 12 and is installed in a shape to surround the lower part of the internal seating portion 30. Additionally, the lower case 14 forms the lower outline of the non-invasive glucose measurement device 1. The longitudinal cross-section of the lower case 14 according to an embodiment of the present invention is installed in an “L” shape.

Meanwhile, the housing frame 19 forms the framework of the housing portion 10 and functions to connect the upper case 12 and the lower case 14.

According to one embodiment, the side case portion 16 is located between the upper case 12 and the lower case 14, and is located around the inlet 32 of the inner seating portion 30 and the inner seating portion 30. Various modifications are possible within the technical idea covering the sides.

According to one embodiment, the side case portion 16 has a hollow hole communicating with the inlet 32 of the internal seating portion 30, and is installed in a shape that surrounds the front and side surfaces of the internal seating portion 30. The side case portion 16 may be made of a single member, or may be separated into a plurality of members if necessary.

The cross-section of the side case portion 16 according to an embodiment of the present invention has a “ㄷ” shape, and is detachably installed on the upper case 12 and the lower case 14.

According to one embodiment, the case cover 18 is detachably installed on the side case, and various modifications are possible within the technical concept of opening and closing the inlet 32 of the internal seating portion 30. The case cover 18 according to an embodiment of the present invention has a plate shape and is located in front of the inlet 32 of the internal seating portion 30. The case cover 18 is detachably installed in front of the side case portion 16.

According to one embodiment, a first printed circuit board (PCB) 151 is fixed to the upper case 12 located on the upper side of the internal seating part 30. The first PCB 151 is installed in a horizontal direction, and a light receiving unit 140 and a temperature sensor unit 170 may be installed on the first PCB 151.

The second PCB 152 is fixed to the lower case 14 located below the internal seating portion 30. The second PCB 152 is installed in a horizontal direction, and a light irradiation unit 130, a pressure sensor 160, and a temperature sensor unit 170 may be installed on the second PCB 152.

[Internal seating part]

According to one embodiment, the internal seating part 30 is located inside the housing part 10, and various modifications can be made within the technical idea of forming a groove for seating the finger 182 of the measurement subject 180. do. The inner seating portion 30 forms a concave groove for the finger 182 to enter and is fixed to the inside of the housing portion 10.

The internal seating portion 30 according to an embodiment of the present invention includes a first case 40 and a second case 60, and the first case 40 and the second case 60 are combined to form a finger ( 182) forms a space and an entrance (32).

Figure 7 is a perspective view showing the first case 40 according to an embodiment of the present invention.

As shown in FIG. 7, the first case 40 is installed in a shape that surrounds the lower part of the finger 182 located inside the housing portion 10, and various modifications are possible within the technical idea. The first case 40 according to an embodiment of the present invention includes a first body 42, a first mounting hole portion 44, a second mounting hole portion 48, an elastic support portion 52, and a catching protrusion 54. Includes.

According to one embodiment, the first body 42 forms a curved surface on the inner side facing the finger 182 and is located below the finger 182 inserted into the internal seating portion 30. Since a curved surface is formed on the inside of the first body 42, injury due to the finger 182 coming into contact with the first body 42 can be prevented.

According to one embodiment, the first mounting hole portion 44 forms a first connection hole 46, which is a hole, in the first body 42. A light irradiation unit 130 is installed on the second PCB 152 facing the first connection hole 46.

According to one embodiment, the second mounting hole portion 48 forms a second connection hole 50 in the first body 42 and is installed at a location spaced apart from the first mounting hole portion 44. The first mounting hole part 44 is installed in the part of the first body 42 that is close to the inlet 32, and the second mounting hole part 48 is located further away from the inlet 32 than the first mounting hole part 44. is installed in

According to one embodiment, the elastic support part 52 is installed between the first mounting hole part 44 and the second mounting hole part 48 and has elasticity. The elastic support portion 52 has a plate shape installed on the upper side of the first body 42 facing the finger 182.

According to one embodiment, the catching protrusion 54 protrudes from the elastic support portion 52 to form a protrusion that catches the finger 182. The locking protrusion 54 is caught in the groove of the first joint of the finger 182 and thus guides the finger 182 to be positioned in the correct position, thereby improving measurement accuracy.

According to one embodiment, the second case 60 is connected to the first case 40 and is installed in a shape that surrounds the upper part of the finger 182 located inside the housing portion 10, and various modifications are made within the technical idea. Implementation is possible. The second case 60 according to an embodiment of the present invention includes a second body 62, a third mounting hole portion 64, and a fourth mounting hole portion 68.

According to one embodiment, the second body 62 forms a curved surface on the inner side facing the finger 182 and is located on the upper part of the finger 182 inserted into the internal seating portion 30. Since a curved surface is formed on the inside of the second body 62, injury due to the finger 182 coming into contact with the second body 62 can be prevented.

According to one embodiment, the third mounting hole portion 64 forms a third connection hole 66, which is a hole, in the second body 62. A light receiving unit 140 is installed in the first PCB 151 facing the third connection hole 66.

According to one embodiment, the fourth mounting hole portion 68 forms a fourth connection hole 70 in the second body 62 and is installed at a position spaced apart from the third mounting hole portion 64. The third mounting hole part 64 is installed in the part of the second body 62 that is close to the inlet 32, and the fourth mounting hole part 68 is located further away from the inlet 32 than the third mounting hole part 64. is installed in

According to one embodiment, the first mounting hole part 44 and the third mounting hole part 64 are installed in positions facing each other, the light irradiation part 130 is installed in the first mounting hole part 44, and the light receiving part ( 140) is installed in the third mounting hole portion 64.

According to one embodiment, the internal seating part 30 is a part into which the finger 182 is inserted and is provided with a first mounting hole part 44, which is a square hole surrounding the light irradiation part 130, which is a light source, installed on the lower side. .

In addition, the first mounting hole portion 44 and the second mounting hole portion 48 are provided with ribs that protrude to the outside of the first body 42, thereby blocking the possibility of external factors intervening in light irradiation and temperature measurement. This can improve operational reliability.

In addition, the third mounting hole portion 64 and the fourth mounting hole portion 68 have ribs protruding outward from the second body 62, thereby blocking the possibility of external factors intervening in light irradiation and temperature measurement. This can improve operational reliability.

[Measurement information section]

Figure 8 is a perspective view showing the measurement guide 80 installed in the first case 40 according to an embodiment of the present invention. Figure 9 is a plan view showing the measurement guide 80 installed in the first case 40 according to an embodiment of the present invention.

As shown in Figures 8 and 9, the measurement guide 80 is located at the entrance 32 of the internal seating part 30 and can be slidably moved on both sides of the width direction (W) of the internal seating part 30. It is installed properly. In addition, the measurement guide unit 80 can be modified in various ways within the technical idea of guiding the finger 182 moving inside the internal seating unit 30 to the center of the width direction (W) of the internal seating unit 30. .

According to one embodiment, the measurement guide portion 80 is installed on both sides of the width direction (W) of the inner seating portion 30, and can slide along the width direction (W). In addition, the measurement guide 80 is provided with a spring so that when the finger 182 is inserted into the inner seating part 30, the finger 182 is positioned in the center of the width direction (W) of the internal seating part 30. The elastic members 110 used are installed on both sides.

The measurement guide unit 80 according to an embodiment of the present invention includes a fixed case 90, a moving block unit 100, an elastic member 110, and a guide member 120.

According to one embodiment, the fixing case 90 is fixed to both sides of the internal seating portion 30 in the width direction (W). The fixing case 90 protruding outward in the width direction (W) of the internal seating part 30 is fixed to the outside of the internal seating part 30. The fixing case 90 according to an embodiment of the present invention includes a fixing body 92, a guide protrusion 94, and a side protrusion 96.

According to one embodiment, the fixing body 92 forms an empty space on the inside and is fixed to the outside of the internal seating portion 30. The guide protrusion 94 has a bar shape and is fixed to the fixing body 92. Additionally, the guide protrusion 94 extends in the width direction (W) and is inserted into the inside of the movable block unit 100 to guide the movement of the movable block unit 100 in the width direction (W).

According to one embodiment, one side of the moving block unit 100 is located inside the fixed case 90, and the other side protrudes inside the internal seating part 30. The movable block unit 100 is capable of sliding movement in the width direction (W) of the internal seating unit 30. The movable block unit 100 according to an embodiment of the present invention includes a block body 102 and a locking piece 104.

According to one embodiment, the block body 102 has a square block shape, and one side of the movable block unit 100 is located inside the fixed case 90 and the other side extends inside the internal seating portion 30. The locking piece 104 is connected to one side of the movable block unit 100 and has a plate shape.

And since the locking piece 104 is caught on the locking protrusion provided in the fixing case 90, the movable block unit 100 can be prevented from being separated from the fixing case 90.

According to one embodiment, the elastic member 110 is located between the fixed case 90 and the movable block unit 100 and elastically presses the movable block unit 100 to the inside of the internal seating unit 30. The elastic member 110 according to an embodiment of the present invention uses a spring, is supported on one side by the side protrusion 96 provided on the fixed body 92, and rests on a groove provided on the block body 102. side is supported. Accordingly, the movable block portion 100 is elastically supported toward the center of the inner seating portion 30 in the width direction (W).

According to one embodiment, the guide member 120 is fixed to the end of the moving block part 100, and various modifications are made within the technical idea of guiding the movement of the finger 182 moving inside the inner seating part 30. is possible. The guide member 120 according to an embodiment of the present invention includes a first guide 122 and a second guide 124.

According to one embodiment, the first guide 122 is installed at the end of the moving block unit 100 and provides a plate-shaped guide along the moving direction of the finger 182. The first guide 122 is a plate extending in a straight line, and may be provided with a curved surface corresponding to the outside of the finger 182, if necessary.

According to one embodiment, the second guide 124 is connected to the end of the first guide 122 and is installed in a shape that gradually spreads outward toward the entrance 32, which is the direction in which the finger 182 enters. Accordingly, the finger 182 entering the inner seating portion 30 is guided to the center in the width direction (W) by the second guide 124.

[Light irradiation department]

The light irradiation unit 130 is located on one side of the internal seating unit 30, and various modifications are possible within the technical idea of irradiating light toward the finger 182. In the light irradiation unit 130, at least one light source is successively installed along the longitudinal direction D of the internal seating unit 30.

Alternatively, at least one light source having a different wavelength may be disposed in the light irradiation unit 130.

[Light receiver]

According to one embodiment, the light receiving unit 140 is located on the other side of the internal seating unit 30, and various modifications are made within the technical idea of receiving the light irradiated from the light irradiation unit 130 and passing through the finger 182. is possible. The light receiving unit 140 is installed in a position facing the light irradiating unit 130 and measures the wavelength of the light passing through the finger 182.

In the present invention, the light irradiated from the light irradiation unit 130 having a plurality of light sources is measured by the light receiving unit 140 while passing through the finger 182. The light receiving unit 140 can detect the amount of light using a photo detector.

[Control unit]

According to one embodiment, the control unit 150 is installed inside the housing unit 10 and receives the measurement value from the light receiving unit 140 to calculate the amount of glucose in the finger 182. The control unit 150 according to an embodiment of the present invention includes a first PCB 151 and a second PCB 152.

The converted value of the light into an electrical signal received from the light receiving unit 140 is transmitted to the control unit 150, and the DC voltage value converted through a filter provided in the control unit 150 is analyzed by the control unit 150 to generate the finger 182. Measure the amount of glucose inside.

In addition, the present invention further includes a temperature sensor unit 170 that measures the temperature of the finger 182 through a hole provided in the internal seating unit 30. The temperature sensor unit 170 according to an embodiment of the present invention includes a first temperature sensor 172 and a second temperature sensor 174, and is installed on the upper and lower sides of the finger 182, respectively. 182) Measure the temperature.

According to one embodiment, the pressure sensor 160 is located below the finger 182, measures the pressure caused by the finger 182 through contact with the lower part of the finger 182, and sends the measured value to the control unit 150. Deliver.

The control unit 150 of the present invention accurately senses the temperature of the finger 182 using a plurality of temperature sensors to compensate for the temperature correlation of the measurement and reflects it in the measurement calculation formula. In addition, the present invention detects pressure through the pressure sensor 160 to reduce measurement changes due to the pressure of the finger 182, and the control unit 150 increases measurement reliability by allowing measurement to be performed below a certain pressure.

Hereinafter, the operating state of the non-invasive glucose measurement device 1 according to an embodiment of the present invention will be described in detail with reference to the attached drawings.

According to one embodiment, when moving the finger 182 through the inlet 32 of the internal seating part 30 for measurement, the guide member 120 of the measurement guide 80 moves the inner seating part 30. Guides the movement of the finger 182 toward the center of the width direction (W). Since the moving block unit 100 is elastically supported by the elastic member 110, the measurement guide unit 80 presses the finger 182 toward the center of the inner seating unit 30 in the width direction (W).

According to one embodiment, with the finger 182 seated inside the internal seating unit 30, the values measured by the pressure sensor 160 and the temperature sensor unit 170 are transmitted to the control unit 150. . And the light irradiated from the light irradiation unit 130 passes through the finger 182 and is received at the light receiving unit 140.

According to one embodiment, the control unit 150 calculates the amount of glucose in the user's finger 182 by combining the input values and then transmits this to the output device. This control unit 150 includes a voltage/current converter 1010, a filter 1020, an amplifier 1030, an A/D converter 1040, a regulator 1050, a memory 1060, a communication unit 1070, and an input/output unit ( 1080), and a processor 1090.

As described above, according to the present invention, the light irradiated from the light irradiation unit 130 passes through the finger 182 and is received by the light receiving unit 140 to measure glucose, so that the glucose of the measurement subject 180 is measured without blood sampling. User satisfaction can be improved by measuring quickly and accurately.

In addition, the measurement guide 80 moves in the width direction (W) of the internal seating part 30 and guides the position of the finger 182 moving inside the internal seating part 30, so that the finger 182 is set. Since the measurement is performed once the location has been reached, the accuracy of glucose measurement is improved.

Figure 10 is a block diagram of a non-invasive glucose measurement device according to an embodiment of the present invention.

Referring to FIG. 10, the non-invasive glucose measurement device 1000 according to an embodiment of the present invention includes a light radiating unit 130, a light receiving unit 140, a pressure sensor 160, a temperature sensor unit 170, and a control unit ( 150) may be included.

According to one embodiment, the control unit 150 includes a current/voltage converter 1010, a filter 1020, an amplifier 1030, an A/D converter 1040, a regulator 1050, a memory 1060, and a communication unit ( 1070), an input/output unit 1080, and a processor 1090.

The configuration of the non-invasive glucose measurement device 1000 shown in FIG. 10 is according to one embodiment, and the components of the non-invasive glucose measurement device 1000 are not limited to the embodiment shown in FIG. 10, and may be added as needed. Accordingly, some components may be added, changed, or deleted.

According to one embodiment, the light emitting unit 130 may include at least one light emitting device (eg, LED) that outputs light for glucose measurement. This light irradiation unit 130 passes light through the internal tissue of the finger 182.

This light irradiation unit 130 is located on one side (e.g., the second PCB 152) of the internal seating part 30 of the non-invasive glucose measurement device 1, and the finger inserted into the internal seating part 30 Rays can be irradiated toward (182).

According to one embodiment, the light receiving unit 140 may include a photo diode with high photosensitivity in a predetermined wavelength band (eg, 800 nm to 940 nm) in order to receive a small amount of light. These photodiodes can have various sizes.

The light receiving unit 140 may receive the amount of light transmitted through various reactions such as reflection, absorption, scattering, and transmission with materials in the tissue of the finger 182. Mainly in the near-infrared region, the absorption of ingredients that make up the skin is minimal, and the biggest effect is scattering. Refraction and scattering of light are caused by differences in refractive index between various components that make up body tissues, and the greater the difference in refractive index between the material causing scattering and surrounding materials, the greater the degree of scattering.

For example, when the concentration of glucose in blood and interstitial fluid (ISF) increases, the refractive index increases and the difference in refractive index with surrounding materials may decrease. In this case, the scattering coefficient decreases and the intensity of the transmitted light becomes stronger.

Considering this operating principle, the angle of irradiated light has a great influence on the blood sugar measurement results, and as the distribution of the incident angle increases, the measurement variable can increase.

Taking this into account, the light receiving unit 140 is located on the other side (e.g., the first PCB 151) of the internal seating unit 30 with the finger 182 in between, and is irradiated from the light irradiation unit 130 to the finger 182. ) can receive light that has passed through.

According to one embodiment, the pressure sensor 160 may measure the bending of the PCB (eg, the second PCB 152) using the finger 182. When the finger 182 is seated on the internal seating portion 30, the finger 182 comes into contact with the surface of the internal seating portion 30 and applies pressure to the PCB (e.g., the second PCB 152). The pressure The sensor 160 can measure the degree of bending of the PCB (eg, the second PCB 152) bent by such pressure. The pressure sensor 160 may transmit the measured pressure value to the control unit 150.

For example, the pressure sensor 160 may measure pressure once, or may measure pressure multiple times in real time while measuring glucose.

This pressure sensor 160 may include an ultra-low-power integrated pressure sensor (eg, DF-8100) with a built-in analog front-end.

For example, the pressure sensor 160 may have a measurement range of 5 g to 4 kg load.

According to one embodiment, the temperature sensor unit 170 is disposed on the second PCB 151 and the first temperature sensor 172 is disposed on the first PCB 152 to measure the temperature of the upper surface of the finger 182. may include a second temperature sensor 174 that measures the temperature of the lower surface of the finger 182. The temperature sensor unit 170 may transmit the measured temperature to the control unit 150.

For example, the temperature sensor unit 170 may measure temperature once or measure glucose multiple times in real time while measuring glucose.

For example, the temperature sensor unit 170 may include at least one temperature sensor.

According to one embodiment, the control unit 150 may include a current/voltage converter 1010, a filter 1020, an amplifier 1030, an A/D converter 1040, and a regulator 1050.

According to one embodiment, the current/voltage converter 1010 may convert the input current to be measured into a corresponding voltage and output it. When light is detected, the light receiving unit 140 (eg, photo diode) generates a micro current (I _d ). The current/voltage converter 1010 converts this minute current into an output voltage through a transimpedance gain resistance (R _f ). The output voltage is obtained by multiplying the microcurrent and the gain resistance. The current/voltage converter 1010 converts the amount of light output from the light receiving unit 140 into voltage (e.g., mV) data and then provides it to the filter 1020.

According to one embodiment, the filter 1020 may filter the frequency of the voltage output from the current/voltage converter 1010. For example, the filter 1020 may include a low-pass filter. The filter 1020 may pass only frequency signals in a predetermined frequency band (e.g., 10 Hz or less), filter the remaining frequency bands, and transmit them to the amplifier 1030.

According to one embodiment, the controller 1050 may adjust the gain value to correspond to the user's conditions for measuring glucose. The amplifier 1030 may amplify the signal (e.g., amplify the voltage of the signal) by reflecting the gain value corresponding to the user's condition transmitted from the controller 1050 to the signal that has passed through the filter 1020. For example, the amplifier 1030 can amplify the voltage from 3.3V to 5V. The signal output from the amplifier 1030 may be an analog signal.

For example, finger thickness, skin color, and condition may vary from person to person. As these conditions differ, a gain value based on the user's conditions can be set to accurately measure glucose.

According to one embodiment, the A/D converter 1040 may convert the analog signal output from the amplifier 1030 into a digital signal. The A/D converter 1040 can convert an input analog signal into a digital signal at a rate of 20SPS (sampling rate per second).

According to one embodiment, the memory 1060 may include volatile memory or non-volatile memory. For example, the memory 1060 may store information, data, programs, etc. necessary for the operation of the non-invasive glucose measurement device 1. Accordingly, the processor 1090 can perform control operations described later with reference to information stored in the memory 1060.

The memory 1060 may store various platforms. The memory 1060 may be, for example, a flash memory type, a hard disk type, a multimedia card micro type, or a card type memory (e.g., SD or XD). It may include at least one type of storage medium among (memory, etc.), RAM, and ROM (EEPROM, etc.).

The memory 1060 stores various data (e.g., software, applications, programs, control logic, control signals, light receiving unit 140) acquired or used by at least one component of the non-invasive glucose measurement device 1. Light rays obtained through, information acquired through the input/output unit 1080 (e.g., touch input, voice messages, etc.), and commands related thereto may be stored.

The memory 1060 can store information, commands, software, data, programs, etc. regarding the operation of the non-invasive glucose measurement device 1. Additionally, the memory 1060 may store data input to the processor 1090, data being processed, and/or data based on processing results.

Additionally, information on the user measuring glucose using the non-invasive glucose measuring device 1 and a program for measuring glucose may be stored in advance in the memory 1060.

According to one embodiment, the communication unit 1070 may include at least one circuit capable of transmitting and receiving at least one signal, information, or data with another electronic device (not shown) (eg, a mobile terminal or a server).

In addition, the communication unit 1070 provides short-range communication (e.g., Wi-Fi (Wireless-Fidelity), Wi-Fi Direct, Wireless USB (Wireless Universal Serial Bus), Bluetooth, RFID (Radio Frequency Identification), and infrared communication. (At least one of Infrared Data Association (UWB), Ultra Wideband (UWB), ZigBee, Near Field Communication (NFC), and Beacon) to other electronic devices (e.g., desktop PCs, laptops, tablet PCs, and other non-invasive devices). Wired or wireless communication can be performed with glucose measuring devices, servers, etc.).

The communication unit 1070 may receive a program for measuring glucose from a portable terminal (not shown) or a server (not shown), and store the received program in the memory 1060 under the control of the processor 1090. For example, the communication unit 1070 can be connected to other electronic devices (e.g., desktop PCs, smart phones, laptops, tablet PCs, other non-invasive glucose measurement devices, servers, etc.) by wired (e.g. cable) or wirelessly (e.g., short distance). You can receive a program to measure glucose through communication).

According to one embodiment, the input/output unit 1080 includes a display unit 1081 that displays or receives various information according to the operation of the non-invasive glucose measurement device 1, a speaker 1082 that outputs a voice signal, and a speaker that receives voice input. A microphone 1083, a light-emitting unit 1084 including at least one light-emitting element, and an interface unit 1085 that provides a physical connection (e.g., USB, HDMI, etc.) with other electronic devices (e.g., charger, display device, etc.) ) may include.

For example, the display unit may include a touch detection circuit that detects a user's touch input.

According to one embodiment, the processor 1090 may control components of the non-invasive glucose measurement device 1.

The processor 1090 includes application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, and microprocessors. It may be implemented with at least one physical element selected from micro-controllers and microprocessors.

The processor 1090 may have an artificial intelligence algorithm built into it. This algorithm for artificial intelligence can be implemented by the processor 1090. The artificial intelligence is a program that imitates the human brain neural network and can support deep learning algorithms that independently analyze, recognize, infer, and judge various data.

Through this, the processor 1090 can control the glucose measurement of the non-invasive glucose measurement device 1 using artificial intelligence.

In this way, the processor 1090 may include a circuit that can overall control the components of the non-invasive glucose measurement device 1.

According to one embodiment, the processor 1090 can perform an operation of measuring glucose through the non-invasive glucose measurement device 1, and a detailed description of this is as follows.

According to one embodiment, the control unit 150 converts the current for the amount of light received from the light receiving unit 140 into voltage, filters the frequency of the converted voltage into a predetermined frequency band, and filters the filtered frequency. You can measure the user's glucose by compensating for the voltage. This light receiving unit 140 may be placed in a position facing the light irradiating unit 130 with the fingers between them.

According to one embodiment, the control unit 150 includes a current/voltage converter 1010 that converts the current for the amount of light into voltage, a filter 1020 that filters the frequency of the converted voltage into the predetermined frequency band, and glucose A regulator 1050 that adjusts the gain value to correspond to the conditions of the user making the measurement, an amplifier 1030 that amplifies the voltage by reflecting the adjusted gain value to the voltage of the filtered frequency, and converts the amplified voltage value into a digital voltage. It may include an analog to digital (A/D) converter that converts the value into a value, and a processor 1090 configured to measure the user's glucose using the converted digital voltage value.

According to one embodiment, the control unit 150 may further include an input/output unit 1080 that outputs the measured glucose. For example, the input/output unit 1080 displays various information about the operating status and operation results of the glucose measuring device 1, and the display unit 1081 receives the user's touch input, and the non-invasive glucose measuring device 1 A speaker 1082 that outputs sound for the operation status and operation results, a microphone 1083 that receives sound, a light emitting unit 1084 including at least one light emitting element, and a physical connection (or communication) with an external electronic device. It may further include an interface unit 1085 that provides connection.

According to one embodiment, the control unit 150 (e.g., processor 1090) acquires pressure by pressing the finger 182 through the pressure sensor 160 and converts the digital signal converted by the A/D converter 1040. By reflecting the pressure in the voltage value, the error rate for glucose measurement can be compensated.

According to one embodiment, the processor 1090 identifies a change in at least one of intracellular fluid (ICF) and interstitial fluid for the finger based on the light transmitted through the finger 182, and Changes in scattering degree and refractive index due to changes in at least one of intracellular fluid and the interstitial fluid can be identified. Additionally, the processor 1090 may detect a change in the amount of light based on the change in the identified refractive index.

The concentration of this interstitial fluid has a high correlation with the concentration of sugar in the blood. Most of the components of interstitial fluid have similar characteristics, including ions, proteins, sugars, and alcohols, except for substances with high molecular weight such as lipids.

If glucose is ingested into the human body as food, it is first absorbed into the blood and delivered to the cells inside the body to be converted into energy and used. When delivered to the cells, glucose first moves into the interstitial fluid through the endothelium of the capillaries. In this process, a lag time of approximately 3 to 12 minutes may occur while the concentration is equilibrated due to a diffusion process due to the concentration difference. Therefore, when measuring glucose after consuming food, it is desirable to measure it after about 3 to 12 minutes.

The non-invasive glucose measurement device (1) according to the present invention can measure blood sugar through the influence of scattering of light passing through skin tissue.

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Hereinafter, a light irradiation unit according to an embodiment of the present invention will be described.

Figure 11 is an exemplary diagram showing a state in which light is emitted from a light irradiation unit according to an embodiment of the present invention. Figure 12 (a) is an exemplary view of the light irradiation unit according to an embodiment of the present invention as seen from the top. Figure 12 (b) is an exemplary cross-sectional view of a light irradiation unit according to an embodiment of the present invention.

Referring to Figures 11 and 12 (a) and (b), the light irradiation unit 130 according to an embodiment of the present invention is located on one side ( Example: It is located in the first body 42, and light can be irradiated toward the finger inserted into the internal seating portion 30. And, the light irradiated from the light irradiation unit 130 may pass through the finger 182 and then be detected by the light receiving unit 140 in the detection area 1150 of the light receiving unit 140. For example, the detection area 1150 may have a diameter of less than 5 mm.

According to one embodiment, the light irradiation unit 130 includes a light emitting device 1110 that outputs light, a cover 1220 that covers the light emitting device, a case 1140 formed in a cylindrical shape so that the light emitting device is inserted therein, and It may include a spherical lens 1120 disposed on the upper surface of the cover 1220 and an aspherical lens 1130 disposed inside the case 1140.

For example, the aspherical lens 1130 is a lens in which both the front and back sides are convexly aspherical, and the refractive index of the front and back may be different from each other.

According to one embodiment, the light emitting device 1110 is disposed on a PCB (e.g., the second PCB 152), and the control unit 150 is electrically connected to the PCB (e.g., the second PCB 152). ) (e.g., the processor 1090) can output light rays under control.

According to one embodiment, the cover 1220 is molded with plastic to protect the light emitting device 1110. For example, a hole 1212 is formed inside the cover 1220 to transmit light from the light emitting device 1110 to the aspherical lens 1130.

According to one embodiment, the case 1140 is formed in a cylindrical shape to allow light to pass therein. Additionally, a support portion 1201 is formed inside the case 1140 to seat and support the aspherical lens 1130. For example, the support portion 1201 is formed around the inner peripheral surface of the case 1140. Additionally, the aspherical lens 1130 may be placed on the upper surface of the support portion 1201 and fixed to the case 1140.

Additionally, an opening 1210 is formed on the upper surface of the case 1140 (i.e., the top of the aspherical lens 1130) to allow parallel light rays to pass through the aspherical lens 1130.

For example, the case 1140 may be made of metal and may have a cylindrical shape. In addition, a hole 1211 is formed in the horizontal portion 1201 of the case 1140 where the aspherical lens 1130 is mounted to transmit light from the spherical lens 1120 to the aspherical lens 1130.

According to one embodiment, the spherical lens 1120 is disposed on the upper surface of the light-emitting device 1110 (e.g., the upper surface of the cover 1220) and transmits the light output from the light-emitting device 1110 to the aspherical lens 1130. there is. For example, the spherical lens 1120 may be disposed on the upper surface of the cover 1220 molded from plastic.

According to one embodiment, the aspherical lens 1130 is disposed on top of the spherical lens 1120 and can convert non-parallel light rays passing through the spherical lens 1120 into parallel rays and output them. For example, the aspherical lens 1130 has a refractive index that can convert non-parallel light rays passing through the spherical lens 1120 into a parallel incident angle.

To this end, the aspherical lens 1130 may be disposed at a location (e.g., inside the case 1140) spaced apart from the spherical lens 1120 by a certain distance 1112 in the upper direction of the spherical lens 1120.

According to one embodiment, the light receiving unit 140 is located on the other side (e.g., the second body 62) of the internal seating unit 30 with the finger 182 in between, and is located on the light irradiating unit 130. The light irradiated and transmitted through the finger 182 may be received.

The light receiving unit 140 can detect parallel light rays radiated from the light irradiating unit 130 and passing through the finger 182 in the detection area 1150. This light receiving unit 140 may include a photo diode 1160 that senses light.

As described above, the non-invasive glucose measurement device 1 according to the present invention is located on one side (e.g., first body 42) of the internal seating part 30 and is inserted into the internal seating part 30. A light irradiation unit 130 that radiates light toward the finger 182 is located on the other side (e.g., the second body 62) of the internal seating part 30 with the finger 182 in between, A light receiving unit 140 receives the light irradiated from the light irradiation unit 130 and passes through the finger 182, and converts a current corresponding to the amount of light of the received light into a voltage, and adjusts the frequency of the converted voltage in advance. It may include a control unit 150 set to measure the user's glucose by filtering to a determined frequency band and compensating for the voltage of the filtered frequency. And, the light irradiation unit 130 can output parallel light beams.

According to one embodiment, the light irradiation unit 130 includes a light emitting device 1110 that outputs the light beam, a spherical lens 1120 disposed on an upper portion of the light emitting device 1110, and an upper portion of the spherical lens 1120. It may include an aspherical lens 1130 that is disposed in and outputs the non-parallel ray passing through the spherical lens 1120 as the parallel ray.

According to one embodiment, the light-emitting device 1110 is mounted on a printed circuit board (PCB) fixed to the lower case 14 of the non-invasive glucose measurement device 1, under the control of the control unit 150. Light rays can be output.

According to one embodiment, the light irradiation unit 130 further includes a case 1140 formed in a cylindrical shape so that the light emitting element 1110 is inserted therein, and the aspherical lens 1130 is installed inside the case 1140. Characterized by the formation of a support part that supports

According to one embodiment, the spherical lens 1120 may be disposed on the upper surface of the cover 1220 in which the light emitting device 1110 is molded with plastic.

According to one embodiment, the aspherical lens 1130 may be disposed at a position spaced apart from the spherical lens 1120 by a certain distance (eg, 6 mm) in the upper direction of the spherical lens 1120.

According to one embodiment, the aspherical lens 1130 is disposed inside the case 1140 and may be supported by the support portion 1201.

According to one embodiment, the light receiving unit 140 may include a photo diode 1160 that receives the light beam, and the distance between the light emitting element 1110 that outputs the light beam and the photo diode 1160 is 27 mm. It is characterized by

According to one embodiment, the light irradiation unit 130 is disposed on a PCB (e.g., a second PCB 152) fixed to the lower case 14 of the non-invasive glucose measurement device 1, and includes at least one It can be included.

According to one embodiment, the control unit 150 controls at least one of intracellular fluid (ICF) and interstitial fluid for the finger 182 based on the light transmitted through the finger 182. Set to identify changes, identify changes in scattering and refractive index due to changes in at least one of the intracellular fluid and the interstitial fluid, and detect changes in the amount of light based on the identified changes in refractive index. It can be.

As described above, the non-invasive glucose measurement device 1 according to the present invention can accurately measure glucose by having the light irradiation unit 130 output parallel light rays.

Hereinafter, a pressure sensor according to an embodiment of the present invention will be described.

The pressure sensor according to an embodiment of the present invention may include a MEMS (Micro Electro-Mechanical Systems) type pressure sensor that has high sensitivity to pressure and can detect small changes in pressure.

This MEMS type pressure sensor is an ultra-small, highly sensitive sensor that can detect surface tension, friction, movement, and direction of movement.

Figure 13 is a schematic diagram showing the location of a pressure sensor in a non-invasive glucose measurement device according to an embodiment of the present invention.

Referring to FIG. 13, the non-invasive glucose measurement device 1 according to an embodiment of the present invention includes a light radiating unit 130, a light receiving unit 140, a substrate 1310, a pressure sensor 160, and a control unit 150. ) may include.

According to one embodiment, the light irradiation unit 130 is located on one side of the internal seating unit 30 and directs a light beam (e.g., a straight light beam) toward the finger 182 inserted into the internal seating unit 30. can be investigated. At least one such light irradiation unit 130 may be disposed on one side of the internal seating unit 30 (e.g., the second case 60), and each light irradiation unit 130 may include at least one light emitting element (e.g. : LED) can be placed.

According to one embodiment, the light receiving unit 140 is located on the other side of the internal seating unit 30 (e.g., the second case 60) with the finger 182 in between, and is located on the other side of the light irradiating unit 130. A light ray that is irradiated and passes through the finger 182 (for example, a straight light ray) may be received. At least one such light receiving unit 140 may be disposed on the other side of the internal seating unit 30, and each light receiving unit 140 may have at least one photodiode disposed.

According to one embodiment, the substrate 1310 may be attached to the lower surface of the internal seating part 30 (eg, the second case 60). The substrate 1310 (e.g., PCB) is attached to the lower surface of the internal seating portion 30 (e.g., the second case 60) and may be made of a material that bends under the pressure of the finger 182.

This substrate 1310 is such that when the finger 182 presses the internal seating portion 30 (e.g., the second case 60), the pressure exerted by the finger 182 is applied to the pressure placed on the lower portion of the substrate 1310. It can be transmitted to the sensor 160. The pressure sensor 160 can measure the pressure generated by the finger 182 transmitted through the substrate 1310.

According to one embodiment, an adhesive tape 1320 is disposed between the internal seating part 30 (e.g., the second case 60) and the substrate 1310, and the adhesive tape 1320 is attached to the internal seating part 30. (For example, the second case 60) and the substrate 1310 can be bonded.

According to one embodiment, the pressure sensor 160 is disposed below the substrate 1310 and can measure pressure caused by pressing the substrate 1310. Alternatively, the pressure sensor 160 may measure pressure by recognizing the bending of the substrate 1310 (eg, PCB). Additionally, the pressure sensor 160 may transmit the degree of bending of the substrate 1310 to the second PCB 152 on which the light irradiation unit 130 is disposed.

Additionally, the pressure sensor 160 and the substrate 1310 are electrically connected to each other through conductors 1331 and 1332. The pressure value measured by the pressure sensor 160 is transmitted to the control unit 150 (eg, processor 1090) of the PCB (eg, second PCB 152) through the conductors 1331 and 1332.

For example, the second case 60 of the internal seating portion 30 may be made of polycarbonate (PC) or plastic (ABS).

According to one embodiment, the control unit 150 (e.g., processor 1090) converts the current for the amount of light received through the light receiving unit 140 into a voltage, and sets the frequency of the converted voltage to a predetermined frequency. Glucose for the user (e.g., for the finger 182) can be measured by filtering by frequency band and compensating for the voltage of the filtered frequency.

Additionally, the control unit 150 (eg, processor 1090) may correct the user's glucose by reflecting the pressure obtained through the pressure sensor 160 in the glucose measurement.

Figure 14 (a) is an exemplary diagram showing the upper part of the second case in the non-invasive glucose measurement device according to another embodiment of the present invention. Figure 14 (b) is an exemplary diagram showing the lower part of the second case equipped with the pressure measuring unit in the non-invasive glucose measurement device according to another embodiment of the present invention. Figure 14 (c) is an exemplary diagram showing at least one pressure measuring unit in a non-invasive glucose measurement device according to another embodiment of the present invention.

Referring to Figures 14 (a) to (c), the non-invasive glucose measurement device 1 according to another embodiment of the present invention includes a light irradiation unit 130, a light reception unit 140, a pressure measurement unit 230, It may include a switch member 2110 and a control unit 150.

According to one embodiment, the light irradiation unit 130 is located on one side of the internal seating unit 30 (e.g., the second case 60) and is inserted into the space 1440 of the internal seating unit 30. A light ray (e.g., a straight ray) may be irradiated toward the finger 182. At least one light irradiation unit 130 may be disposed on one side of the internal seating unit 30 (e.g., the second case 60), and each light irradiation unit 130 may include at least one light emitting element (e.g. : LED) can be placed.

According to one embodiment, the light receiving unit 140 is located on the other side of the internal seating unit 30 (e.g., the second case 60) with the finger 182 in between, and is located on the other side of the light irradiating unit 130. A light ray that is irradiated and passes through the finger 182 (for example, a straight light ray) may be received. At least one such light receiving unit 140 may be disposed on the other side of the internal seating unit 30 (e.g., the second case 60), and each light receiving unit 140 includes at least one photodiode. ) can be placed.

According to one embodiment, the pressure measuring unit 1430 includes at least one button 1411, 1412 and a finger ( It may include pressure sensors 1431 and 1432 that measure the pressure caused by pressing the buttons 1411 and 1412 by 182).

According to one embodiment, the pressure measuring unit 1430 may be disposed at the lower portion of the internal seating unit 30 (eg, the second case 60). For example, a plurality (eg, two) of pressure measuring parts 1430a and 1430b may be disposed at the lower part of the internal seating part 30 (eg, second case 60).

According to one embodiment, the pressure measuring unit 1430 (e.g., the first pressure measuring unit 1430a) includes a first button 1411, a first board 1421, a first pressure sensor 1431, and a first cable. (1441) may be included. The first button 1411 is inserted into a hole formed on one side of the internal seating portion 30 (eg, the second case 60). The first substrate 1421 is bent downward when the first button 1411 is pressed downward. In addition, the first pressure sensor 1431 measures pressure based on the degree of bending of the first substrate 1421, and sends information about the measured pressure to the control unit 150 (e.g., processor ( 1090)).

Likewise, the pressure measuring unit 1430 (e.g., the second pressure measuring unit 1430b) uses the second button 1412, the second board 1422, the second pressure sensor 1432, and the second cable 1442. It can be included. The second button 1412 is inserted into a hole formed on one side of the internal seating portion 30 (eg, the second case 60). The second substrate 1422 is bent downward when the second button 1412 is pressed downward. In addition, the second pressure sensor 1432 measures pressure based on the degree of bending of the second substrate 1422, and sends information about the measured pressure to the control unit 150 (e.g., processor ( 1090)).

Additionally, the controller 150 (eg, processor 1090) may correct the user's glucose by reflecting the pressure measured by the first pressure sensor 1431 or the second pressure sensor 1432.

Alternatively, the control unit 150 (e.g., processor 1090) calculates the average of the pressure measured by each of the first pressure sensor 1431 and the second pressure sensor 1432, and reflects the calculated average pressure. You can also calibrate your glucose.

For example, the first pressure measuring part 1430a and the second pressure measuring part 1430b may be arranged to be spaced apart from each other at the lower part of the internal seating part 30 (eg, second case 60).

The first pressure sensor 1431 and the second pressure sensor 1432 can measure pressure caused by bending of the first substrate 1421 and the second substrate 1422, respectively.

According to one embodiment, the control unit 150 (e.g., processor 1090) converts the current for the amount of light received through the light receiving unit 140 into a voltage, and sets the frequency of the converted voltage to a predetermined frequency. Glucose for the user (e.g., for the finger 182) can be measured by filtering by frequency band and compensating for the voltage of the filtered frequency.

Additionally, the control unit 150 (eg, processor 1090) may correct the user's glucose by reflecting the pressure obtained through the pressure sensor 160 in the glucose measurement.

As described above, the non-invasive glucose measuring device 1 of the present invention includes at least one pressure sensor including substrates 1421 and 1422 and pressure sensors 1431 and 1432 that detect the degree of bending of the substrates 1421 and 1422. After measuring the pressure exerted by the finger 182 by placing the measurement units 1430a and 1430b at spaced apart positions below the internal seating unit 30 (e.g., the second case 60), the measurement results are reported to the user. By reflecting this in correcting glucose, accurate glucose can be measured.

Figure 15 is a flowchart showing the process of correcting glucose by reflecting temperature and pressure according to an embodiment of the present invention.

Hereinafter, with reference to FIG. 15, the process of correcting glucose by reflecting temperature and pressure according to an embodiment of the present invention will be described as follows.

According to one embodiment, the non-invasive glucose measurement device 1 may identify whether an input for correcting glucose measurement is detected (S1510). The non-invasive glucose measurement device 1 can detect input for glucose correction input by the user through the input/output unit 1080 (e.g., display unit 1081).

For example, the non-invasive glucose measurement device 1 may display a screen that receives input for glucose correction through the input/output unit 1080 (e.g., display unit 1081).

According to one embodiment, the non-invasive glucose measurement device 1 can measure the temperature of the finger and the pressure of the finger (S1512).

The non-invasive glucose measurement device 1 can measure the temperature of the finger through the temperature sensor unit 170 when an input for glucose correction is detected.

For example, the non-invasive glucose measurement device 1 measures the first temperature of the upper surface of the finger through the first temperature sensor 172 disposed on one side of the internal seating portion (e.g., the first PCB 151). It is possible to measure the second temperature of the lower surface of the finger through the second temperature sensor 174 disposed on the other side of the internal seating portion (e.g., the second PCB 152). The non-invasive glucose measurement device 1 can calculate the average temperature of the first temperature and the second temperature.

In addition, the non-invasive glucose measurement device 1 may apply at least one of the first temperature, the second temperature, and the average temperature of the first temperature and the second temperature to correction for the user's glucose measurement.

According to one embodiment, the non-invasive glucose measurement device 1 can measure the pressure of the finger after measuring the temperature of the finger. Alternatively, the non-invasive glucose measurement device 1 may measure the pressure of the finger and then measure the temperature of the finger.

According to one embodiment, the non-invasive glucose measurement device 1 may measure the pressure pressed by the finger through the pressure sensor 160 when an input for glucose correction is detected. For example, the pressure sensor 160 can measure the pressure of a load of 5g to 4kg for 2 to 3 seconds.

When measuring glucose, the finger may slightly contract or expand due to changes in pressure. As blood flow and elasticity of blood vessels change according to such contraction or expansion, the amount of light received by the light receiving unit 140 may increase. The non-invasive glucose measurement device 1 of the present invention can measure the pressure pressed by a finger through the pressure sensor 160 to reflect the change in the amount of light received.

According to one embodiment, the non-invasive glucose measurement device 1 may determine whether the measured pressure is within a valid range. This effective range can be set based on the average pressure calculated from multiple pressure measurements. For example, the effective range may range from -20% to +20% (or -10% to +10%) of the average pressure, and this effective range may vary for users with different pressing forces.

In this way, the thickness of the finger may change due to pressure on the finger during glucose measurement, and the length of the optical path of the light passing through the finger may be reduced. In this case, the amount of light transmitted increases due to a decrease in the optical path, and the digital voltage converted by the A/D converter 1040 increases, ultimately causing the glucose level to be higher than it actually is.

The non-invasive glucose measurement device 1 of the present invention can measure the pressure pressed by a finger through the pressure sensor 160 to reflect the change in the measurement value due to this pressure.

For example, the non-invasive glucose measurement device 1 may consider a measurement success if the change in measured pressure is within 20%, and may consider a measurement failure if it exceeds 20%. To this end, the non-invasive glucose measurement device 1 can determine whether the measured pressure falls within the critical range (i.e., falls between -20% and +20% of the average pressure). And, the measured pressure value can be displayed in real time through the display unit 1081.

According to one embodiment, the non-invasive glucose measurement device 1 may apply the measured pressure to correction for the user's glucose measurement. If the measured pressure is within a valid range (e.g., -20% to +20% of the average pressure), the non-invasive glucose measurement device 1 may determine that the measured pressure is a valid value and reflect it in the digital voltage. .

Alternatively, the non-invasive glucose measurement device 1 displays guidance information through the display unit 1081, or through a speaker if the measured pressure is not within a valid range (e.g., -20% to +20% of the average pressure). A warning sound can be output through (1082).

According to one embodiment, the non-invasive glucose measurement device 1 performs the first correction by multiplying the digital voltage by a lower first weight as the measured pressure increases while the measured pressure is within the effective range. You can.

Alternatively, the non-invasive glucose measurement device 1 performs the first correction by multiplying the digital voltage by a second weight higher than the first weight as the measured pressure becomes smaller while the measured pressure is within the effective range. It can be done.

For example, the weight is a value for controlling the amount of change in the amount of light received by the light receiving unit 140 due to pressure by a finger. These weights may differ depending on the user's conditions (e.g. finger thickness, finger pressure, etc.). Also, as the pressure exerted by the finger increases, the path passing through the finger becomes shorter, so the amount of light received by the light receiving unit 140 increases. To prevent this, the weight is set to a small value the higher the pressure by the finger is, and the weight is set to a large value the lower the pressure by the finger is.

And, these weights can be adjusted by the adjuster 1050 and are multiplied by the voltage (eg, analog voltage) output from the amplifier 1030.

According to one embodiment, the non-invasive glucose measurement device 1 may adjust the gain using the amount of light obtained through the light receiving unit 140 (S1514).

According to one embodiment, when the non-invasive glucose measurement device 1 detects an input for glucose correction, it operates the light irradiation unit 130 to output the light source toward the finger 182 and transmits the light through the finger 182. The amount of light can be obtained through the light receiving unit 140.

In addition, the non-invasive glucose measurement device 1 converts the current for the acquired amount of light into voltage, filters and amplifies the frequency of the converted voltage, and then converts the amplified voltage (e.g., analog voltage) into a digital voltage. The gain can be adjusted based on several factors such as the thickness of the finger, skin condition, skin color, and BMI (Body Mass Index) of the subject.

For example, the non-invasive glucose measurement device 1 may adjust the gain through the regulator 1050 so that the converted digital voltage is within an effective range (eg, 400 mV to 800 mV).

According to one embodiment, the non-invasive glucose measurement device 1 can measure glucose a predetermined number of times in each of the invasive and non-invasive methods (S1516).

According to one embodiment, the non-invasive glucose measurement device 1 measures the glucose in invasive and non-invasive ways when the digital voltage converted based on the amount of light received through the light receiver 140 is within the effective range. The value of glucose can be obtained.

For example, while the digital voltage converted based on the amount of light received through the light receiver 140 is within the effective range, the non-invasive glucose measurement device 1 performs glucose measurement by an invasive method four times. The obtained glucose level can be obtained. This invasive method measures glucose through blood sampling, and the non-invasive glucose measurement device 1 can obtain from the user the glucose level obtained by the invasive method.

In addition, the non-invasive glucose measurement device 1 can obtain the glucose level obtained by performing glucose measurement 10 times in a non-invasive manner. This non-invasive method is a method in which the user measures glucose using a non-invasive glucose measurement device (1), and the non-invasive glucose measurement device (1) can measure glucose levels through the user's finger in a non-invasive way. .

According to one embodiment, the non-invasive glucose measurement device 1 can correct glucose using temperature, pressure, and actual glucose using an invasive method (S1518). The non-invasive glucose measurement device 1 sequentially processes the temperature measured through the temperature sensor unit 170 and the pressure measured by the pressure sensor 160 to the glucose measured non-invasively in the process (S1516). The digital voltage can be first corrected by reflecting this. That is, the non-invasive glucose measurement device 1 can first analyze the trend of digital voltage that changes depending on temperature and pressure and correct the glucose measured by a non-invasive method (e.g., first correction).

Additionally, the non-invasive glucose measuring device 1 can perform secondary correction of glucose by matching the first corrected glucose with glucose actually obtained through an invasive method.

In this way, the non-invasive glucose measurement device 1 converts the pressure measured by the temperature and pressure sensor 160, measured through the temperature sensor unit 170, into a non-invasive glucose value (e.g., a second glucose value). Glucose correction for the user can be performed by first correcting the digital voltage by sequentially reflecting it, and secondarily correcting the first corrected digital voltage by matching it with the glucose value based on the invasive method.

In addition, the non-invasive glucose measurement device 1 performs secondary correction by matching the first corrected digital voltage to the glucose value based on the invasive method to generate a user-customized algorithm (e.g., a mathematical equation tailored to the user's conditions). This can be stored in the memory 1060.

Figure 16 is a flowchart showing the process of correcting glucose by reflecting temperature and pressure according to another embodiment of the present invention.

Hereinafter, with reference to FIG. 16, the process of correcting glucose by reflecting temperature and pressure according to an embodiment of the present invention will be described as follows.

According to one embodiment, the processor 1090 may identify whether an input for correcting glucose measurement is detected (S1610). The processor 1090 may detect input for glucose correction input by the user through a screen displayed on the input/output unit 1080 (e.g., display unit 1081).

According to one embodiment, the processor 1090 may radiate light through the light irradiation unit 130 (S1612). When an input for correcting glucose measurement is detected, the processor 1090 operates the light irradiation unit 130 to output a light source having a predetermined wavelength (e.g., 630 nm) toward the finger 182.

According to one embodiment, the processor 1090 may measure the temperature of the finger through at least one temperature sensor (S1614). The processor 1090 may measure the temperature of the upper surface of the finger of the internal seating unit (eg, first temperature) and the temperature of the lower surface of the finger (eg, second temperature).

According to one embodiment, the processor 1090 may measure the pressure exerted by the finger through the pressure sensor 160 disposed on one side of the internal seating portion (e.g., the second PCB 152) (S1614).

According to one embodiment, the processor 1090 may identify whether the converted digital voltage is valid (S1618). The processor 1090 may identify whether the converted digital voltage is within a valid range or not within a valid range based on the amount of light received through the light receiving unit 140. For example, the processor 1090 determines that the digital voltage is within the valid range when the digital voltage is within 400 mV to 800 mV, and determines that the digital voltage is not within the valid range when the digital voltage is not within 400 mV to 800 mV. You can. For example, this effective range can be variably adjusted.

According to one embodiment, the processor 1090 may identify whether the measured pressure is valid (S1620). The processor 1090 may determine that the measured pressure is valid if the measured pressure is within -20% to +20% of the average pressure. Additionally, the processor 1090 may determine that the measured pressure is invalid if the measured pressure is within -20% to +20% of the average pressure.

According to one embodiment, the processor 1090 may identify whether the measured temperature is valid (S1622). The processor 1090 may determine that the temperature is valid if the measured temperature of the finger is 10 ^o C to 45 ^o C. Alternatively, the processor 1090 may determine that the temperature is invalid if the measured temperature of the finger is not 10 ^o C to 45 ^o C. The temperature of this effective range can be variably adjusted.

According to one embodiment, the non-invasive glucose measurement device 1 can correct glucose by reflecting temperature and pressure (S1624). The non-invasive glucose measurement device (1) can correct glucose using temperature, pressure, and actual glucose using an invasive method. The non-invasive glucose measurement device 1 can reflect effective temperature and effective pressure in glucose correction. That is, the non-invasive glucose measurement device 1 can first analyze the trend of digital voltage that changes depending on temperature and pressure and correct the glucose measured by a non-invasive method (e.g., first correction).

Additionally, the non-invasive glucose measuring device 1 can perform secondary correction of glucose by matching the first corrected glucose with glucose actually obtained through an invasive method.

According to one embodiment, the non-invasive glucose measurement device 1 can store and display the corrected glucose value. The non-invasive glucose measurement device 1 can display the result of matching the first corrected digital voltage to the glucose value based on the invasive method on the display unit 1081.

Figure 17 is a flowchart showing the process of correcting glucose by reflecting temperature and pressure according to another embodiment of the present invention.

Hereinafter, with reference to FIG. 17, the process of correcting glucose by reflecting temperature and pressure according to another embodiment of the present invention will be described as follows.

According to one embodiment, the processor 1090 may identify whether an input for correcting glucose measurement is detected (S1710). The processor 1090 may detect input for glucose correction input by the user through the input/output unit 1080 (e.g., display unit 1081). For example, the processor 1090 may display a screen that receives input for glucose correction through the input/output unit 1080 (e.g., display unit 1081).

According to one embodiment, the processor 1090 may radiate light through the light irradiation unit 130 (S1712). When an input for correcting glucose measurement is detected, the processor 1090 operates the light irradiation unit 130 to output a light source having a predetermined wavelength (e.g., 630 nm) toward the finger 182.

According to one embodiment, the processor 1090 may measure the temperature of the finger through at least one temperature sensor (S1714). The processor 1090 can identify the first temperature of the upper surface of the finger through the first temperature sensor 172 disposed on one side of the internal seating portion (e.g., the first PCB 151) and the other side of the internal seating portion. The second temperature of the lower surface of the finger can be identified through the second temperature sensor 174 disposed on the second PCB 152 (e.g., the second PCB 152). Additionally, the processor 1090 may calculate an average temperature of the first temperature and the second temperature.

The processor 1090 may use at least one of the first temperature, the second temperature, and the average temperature of the first temperature and the second temperature to correct the user's glucose measurement.

According to one embodiment, the processor 1090 may measure the pressure exerted by the finger through the pressure sensor 160 disposed on one side of the internal seating portion (e.g., the second PCB 152) (S1716).

According to one embodiment, the processor 1090 measures the pressure a predetermined number of times (e.g., once) for a predetermined time (e.g., 1 second) and determines that the measured value is within a valid range (i.e., - of the average pressure). It is possible to determine whether it is within 20% to +20%). For example, if the measured value is within a valid range (i.e., within -20% to +20% of the average pressure), the processor 1090 may store the measured pressure value in the memory 1060.

For example, the processor 1090 may estimate the change in pressure caused by the finger 182 based on the amount of light transmitted through the finger 182. Additionally, the processor 1090 may display guidance information on the display unit 1081 so that the user knows that pressure is being measured.

For example, if the measured value is not within the valid range (i.e., within -20% to +20% of the average pressure), the processor 1090 displays guidance information leading to accurate pressure measurement on the display unit 1081. can do.

According to one embodiment, the processor 1090 may convert the amount of light passing through the finger into a digital voltage (S1718). The processor 1090 may acquire the amount of light that has passed through the finger 182 through the light receiving unit 140 and convert the current for the obtained amount of light into voltage. For example, the processor 1090 converts the minute current (I _d ) output through the light receiving unit 140 into an output voltage (V) through the current/voltage converter 1010 (e.g., transimpedance gain resistance (R _f )). _out ).

Additionally, the processor 1090 may filter the frequency of the converted voltage through the filter 1020 so that only a predetermined frequency band passes. For example, the processor 1090 may pass a predetermined frequency band (e.g., approximately 10 Hz or less) at the frequency of the output voltage (V _out ) through the filter 1020 and filter the remaining frequency bands.

According to one embodiment, the processor 1090 may identify whether the converted digital voltage is valid (S1720). Based on the identified amount of light, it can be identified whether the converted digital voltage is within a valid range or not within a valid range. For example, the processor 1090 determines that the digital voltage is within the valid range when the digital voltage is within 400 mV to 800 mV, and determines that the digital voltage is not within the valid range when the digital voltage is not within 400 mV to 800 mV. You can. For example, this effective range can be variably adjusted.

According to one embodiment, the processor 1090 may adjust the gain if the converted digital voltage is not valid (S1722). When measuring glucose based on non-invasive methods, the glucose level is determined based on the user's conditions (e.g. skin temperature, finger pressure, finger thickness, skin condition, skin color, body mass index (BMI)). Therefore, it may differ from the measured glucose level.

To reduce (or eliminate) the measurement error between these invasive and non-invasive methods, the processor 1090 may adjust the gain so that the digital voltage is within an effective range.

For example, the processor 1090 may irradiate a light source, determine whether the digital voltage is within a valid range based on the amount of light transmitted through the finger, and perform a one-time process of adjusting the gain.

According to one embodiment, the processor 1090 may identify whether measured glucose is obtained a predetermined number of times for each of the invasive and non-invasive methods (S1724). The processor 1090 can receive glucose levels measured four times using an invasive method. Additionally, the processor 1090 can measure glucose levels non-invasively 10 times. The above-described 4 times in the invasive method and 10 times in the non-invasive method are only examples, and the present invention can receive the glucose level by the invasive method at least once and also input the glucose level by the non-invasive method at least once. It can be measured.

For example, 4 times in the invasive method is 1 time before a meal and 3 times after a meal, and 10 times in the non-invasive method is 4 times before a meal and 6 times after a meal. In addition, the glucose measurement using the non-invasive method may be a measurement performed a predetermined time (eg, 15 to 20 minutes) after the glucose measurement using the invasive method. The above-mentioned 1 time before and 3 times after a meal in the invasive method and 4 times before and 6 times after a meal in the non-invasive method are only examples, and the present invention provides a method for measuring glucose levels by the invasive method and the non-invasive method according to various times or conditions. can be measured.

The sequence and time of glucose measurement by invasive and non-invasive methods are as follows.

For example, after the gain is adjusted, the user measures glucose by invasive and non-invasive methods (invasive: once, non-invasive: once) while fasting. After the user measures glucose using a non-invasive method, glucose is measured three times (a total of four times) using a non-invasive method every 15 minutes. Therefore, the user can measure glucose once by an invasive method and four times by a non-invasive method while fasting.

Thereafter, after eating, the user measures glucose using invasive and non-invasive methods (invasive: once, non-invasive: once). After the user measures glucose non-invasively, glucose is measured 5 times non-invasively every 15 minutes (6 times in total). Then, after measuring glucose using the invasive method, the user measures glucose twice (3 times in total) using the non-invasive method every 30 minutes. Accordingly, the user can measure glucose 3 times using an invasive method and 6 times using a non-invasive method after a meal.

In this way, glucose measurements for correction are performed 4 times in an 8-hour fasting state and 6 times after a meal.

In this way, the non-invasive glucose measurement device 1 of the present invention measures glucose non-invasively, mainly focusing on blood sugar in interstitial fluid, and measures blood sugar in the blood invasively through blood collection. The reason for measuring glucose non-invasively after a predetermined time (e.g. 15 to 20 minutes) after measuring glucose invasively through blood collection is that the time for blood sugar in the blood to be transferred to the interstitial fluid is about 15 minutes. Because it is about 20 minutes.

When glucose is measured, the processor 1090 may display a screen containing different glucose levels for each condition on the input/output unit 1080 (e.g., display unit 1081).

As described above, when the user performs glucose measurement based on measurement conditions, the processor 1090 can obtain glucose levels according to each measurement condition and store them in the memory 1060.

According to one embodiment, the processor 1090 may first correct glucose by first analyzing trends in digital voltage based on temperature and pressure (S1726). The processor 1090 calculates the temperature measured in the process (S1714) and the pressure measured in the process (S1716) as the average of the glucose level measured 10 times non-invasively in the process (S1724) (or measured at least once). Primary correction can be performed to analyze the trend of digital voltage by reflecting it on the glucose level (or average).

For example, the processor 1090 can generate an algorithm using the equation below based on the slope of the temperature and digital voltage.

The processor 1090 can obtain information about glucose purely by reflecting the influence of temperature.

And, the processor 1090 can calculate the blood sugar level through [Equation 2] below.

In addition, when the processor 1090 substitutes the correction value into [Equation 2] above ([Equation 3] below), the final calculated value is calculated through the digital voltage value and temperature measured with the non-invasive glucose measurement device according to the present invention. The blood sugar level can be calculated, and the calculated blood sugar level can be displayed on the display unit 1081.

As described above, the non-invasive glucose measurement device 1 of the present invention can correct glucose by reflecting temperature.

For example, the digital voltage compared to temperature decreases from 1560 mV to 1400 mV when the finger temperature rises from 27 ^o to 29 ^o , and when the finger temperature rises from 30 ^o to 32 ^o , the digital voltage decreases from 1360 mV to 1320 mV. and when the temperature of the finger rises from 32 ^o to 33 ^o , the digital voltage drops from 1320 mV to 1280 mV.

Likewise, when the temperature rises, the digital voltage may drop, and this may vary depending on the user's conditions.

As described above, the non-invasive glucose measuring device 1 of the present invention can correct glucose by reflecting temperature and pressure.

According to one embodiment, the processor 1090 may perform a secondary analysis of the glucose trend by an invasive method and perform a secondary correction of the first corrected glucose (S1728). The processor 1090 performs first correction of glucose by first analyzing the trend of digital voltage based on temperature and pressure, and then secondarily analyzes the trend of glucose by an invasive method and performs second correction by adding the first correction of glucose. can do.

For example, the processor 1090 analyzes the trend of digital voltage based on temperature, performs primary analysis reflecting pressure, performs primary correction for glucose, and converts the primary corrected value to glucose using an invasive method. It can be reflected and subjected to secondary analysis.

This secondary correction refers to mapping the primary corrected glucose to the glucose level actually obtained through blood collection in the above process (S1722).

According to one embodiment, the processor 1090 may generate and store an algorithm based on secondary corrected glucose (S1728). The processor 1090 may create an algorithm that maps the initially corrected glucose level to the glucose level actually obtained through blood sampling in the process (S1722) and store it in the memory 1060.

As described above, the non-invasive glucose measurement device (1) according to the present invention corrects glucose by reflecting temperature and pressure, so that even when measuring glucose using a non-invasive method, the glucose level measured by the invasive method is Close or identical glucose levels can be obtained.

Figure 18 is a flowchart showing a process in which a non-invasive glucose measurement device measures glucose by reflecting temperature and pressure according to an embodiment of the present invention.

Hereinafter, with reference to FIG. 18, the process by which the non-invasive glucose measurement device according to an embodiment of the present invention measures glucose by reflecting temperature and pressure will be described in detail as follows.

According to one embodiment, the processor 1090 may identify whether an input for glucose measurement is detected (S1810). The processor 1090 may detect input for measuring glucose input by the user through the input/output unit 1080 (e.g., display unit 1081). For example, the processor 1090 may display a screen that receives input for glucose measurement through the input/output unit 1080 (e.g., display unit 1081).

Also, when the user selects the icon corresponding to the time to measure glucose, the processor 1090 can recognize the time to measure glucose based on the selected icon.

For example, if the user selects the after lunch icon, the processor 1090 may determine that the time to measure glucose is after lunch.

According to one embodiment, the processor 1090 may irradiate a light source and convert the amount of light passing through the finger into a digital voltage (S1812). When an input for correcting glucose measurement is detected, the processor 1090 operates the light irradiation unit 130 to output a light source with a predetermined wavelength (eg, 630 nm) toward the finger 182.

Additionally, the processor 1090 may obtain the amount of light passing through the finger 182 and then convert the current of the obtained amount of light into voltage. The processor 1090 may convert the minute current (I _d ) output through the light receiving unit 140 into an output voltage (V _out ) through the current/voltage converter 1010.

Additionally, the processor 1090 may pass only the frequency of the converted voltage through a predetermined frequency band through the filter 1020. For example, the processor 1090 may pass a predetermined frequency band (e.g., approximately 10 Hz or less) at the frequency of the output voltage (V _out ) through the filter 1020 and filter the remaining frequency bands.

According to one embodiment, the processor 1090 may measure the temperature of the finger through the temperature sensor unit and measure the pressure of the finger through the pressure sensor (S1814). The processor 1090 can identify the first temperature of the upper surface of the finger through the first temperature sensor 172 disposed on one side of the internal seating portion (e.g., the first PCB 151) and the other side of the internal seating portion. The second temperature of the lower surface of the finger can be identified through the second temperature sensor 174 disposed on the second PCB 152 (e.g., the second PCB 152).

Additionally, the processor 1090 may calculate an average temperature of the first temperature and the second temperature. The processor 1090 may use at least one of the first temperature, the second temperature, and the average temperature of the first temperature and the second temperature to measure the user's glucose.

According to one embodiment, the processor 1090 may measure the bending of the PCB (eg, the second PCB 152) by the finger 182 through the pressure sensor 160. When the finger 182 is seated on the internal seating portion 30, the finger 182 comes into contact with the surface of the internal seating portion 30 and applies pressure to the PCB (e.g., the second PCB 152). The pressure The sensor 160 can measure the degree of bending of the PCB (eg, the second PCB 152) bent by such pressure. And, the pressure sensor 160 may transmit the measured pressure value to the control unit 150.

According to one embodiment, the processor 1090 may determine whether the converted digital voltage is valid (S1816). The processor 1090 may identify whether the converted digital voltage is within a valid range or not within a valid range. For example, the processor 1090 may determine that the digital voltage is within a valid range when the digital voltage is within 400 mV to 800 mV. However, if the digital voltage is not within 400 mV to 800 mV, the processor 1090 may determine that the digital voltage is not within the effective range. And, this effective range can be variably adjusted.

According to one embodiment, the processor 1090 may determine whether the measured temperature and pressure are valid (S1818). Generally, the skin temperature of the fingers is around 25°C to 35°C. The processor 1090 may determine that the measured temperature is valid if the measured temperature is within 25°C to 35°C. If the measured temperature is not within 25°C to 35°C, the processor 1090 may determine that the measured temperature is invalid. For example, the temperature values described in the present invention can be adjusted variably.

In this way, the processor 1090 can measure the temperature of the finger and determine whether the measured temperature is valid or invalid. In addition, the judgment on whether the measured temperature is valid can also be applied when correcting glucose.

According to one embodiment, the processor 1090 determines whether the measured pressure is within a certain range (e.g., ±20%) compared to the average pressure (e.g., the average value of the pressure measured for correction in process S1512 of FIG. 15). (That is, if the measured pressure exists within a certain range of the average pressure), the measured pressure can be determined to be valid.

Alternatively, the processor 1090 determines if the measured pressure is within a certain range (e.g., ±20%) compared to the average pressure (e.g., the average value of the pressure measured for glucose measurement) (i.e., the measured pressure is within a certain range of the average pressure). If it exists within the range), the measured pressure can be judged to be valid.

If the measured pressure is not within a certain range (e.g., ±20%) compared to the average pressure (i.e., if the measured pressure does not exist within a certain range of the average pressure), the measured pressure is not valid. It can be judged that it is not. Additionally, the processor 1090 may output a notification informing of remeasurement.

According to one embodiment, the processor 1090 may output a notification informing of remeasurement (S1820). If the digital voltage is not within 400 mV to 800 mV in the above process (S1816), the processor 1090 may output a notification informing of glucose remeasurement through the input/output unit 1080.

Additionally, if the measured temperature is not within 25°C to 35°C, the processor 1090 may output a notification informing of re-measurement of the temperature of the finger through the input/output unit 1080.

For example, if the measured temperature is not within 25°C to 35°C, the processor 1090 outputs a notification indicating re-measurement through at least one of the display unit 1081, the speaker 1082, and the light emitting unit 1084. can do.

Alternatively, if the measured temperature is not within 23°C to 37°C, the processor 1090 may output a notification indicating re-measurement through at least one of the display unit 1081, the speaker 1082, and the light emitting unit 1084. there is.

According to one embodiment, the processor 1090 may obtain an algorithm (S1822). The algorithm first corrects the digital voltage by reflecting the temperature detected by the temperature sensor unit 170 to the glucose value (e.g., second glucose value) using a non-invasive method, and uses the first corrected digital voltage using an invasive method. This is an algorithm created according to the results of secondary correction by matching the glucose value based on . These algorithms may be mathematical expressions customized to the user.

According to one embodiment, the processor 1090 may measure glucose based on the converted digital voltage, the sensed temperature, and the measured pressure (S1824). The processor 1090 can measure the user's actual glucose using a non-invasive method by reflecting the converted digital voltage and the measured temperature in [Equation 1] to [Equation 3].

For example, if the measured pressure is within a certain range (e.g. ±20%) compared to the average pressure (e.g. the average value of the pressure measured for glucose measurement) (i.e., the measured pressure is within a certain range of the average pressure) ), the processor 1090 may determine that the measured pressure is reflected.

According to one embodiment, the processor 1090 may display and store the measured glucose (S1826). The processor 1090 may display information about glucose measured through the user's finger 182 through an input/output unit (eg, display unit 1081). Additionally, the processor 1090 may store the glucose value measured through the user's finger 182 in the memory 1060.

Figure 19 is a flowchart showing a process in which a non-invasive glucose measurement device measures glucose by reflecting pressure according to another embodiment of the present invention.

Hereinafter, with reference to FIG. 19, the process by which the non-invasive glucose measurement device according to another embodiment of the present invention measures glucose by reflecting pressure will be described in detail as follows.

According to one embodiment, the processor 1090 may identify whether an input for glucose measurement is detected (S1910). The processor 1090 may detect input for measuring glucose input by the user through the input/output unit 1080 (e.g., display unit 1081). For example, the processor 1090 may display a screen that receives input for glucose measurement through the input/output unit 1080 (e.g., display unit 1081).

According to one embodiment, the processor 1090 may activate the temperature sensor, pressure sensor, and light irradiation unit (S1912). When an input for glucose measurement is detected, the processor 1090 may activate the temperature sensor, pressure sensor, and light irradiation unit.

According to one embodiment, the processor 1090 may identify whether the first time period is exceeded (S1914). The processor 1090 may identify whether a first time (eg, 50 ms) is exceeded after the temperature sensor, pressure sensor, and light irradiation unit are activated.

According to one embodiment, the processor 1090 may irradiate a light source and convert the amount of light passing through the finger into a digital voltage (S1916). When the first time (eg, 50 ms) is exceeded, the processor 1090 may operate the light irradiation unit 130 to output a light source having a predetermined wavelength (eg, 630 nm) toward the finger 182.

Additionally, the processor 1090 may obtain the amount of light passing through the finger 182 and then convert the current of the obtained amount of light into voltage. The processor 1090 may convert the minute current (I _d ) output through the light receiving unit 140 into an output voltage (V _out ) through the current/voltage converter 1010.

Additionally, the processor 1090 may pass only the frequency of the converted voltage through a predetermined frequency band through the filter 1020. For example, the processor 1090 may pass a predetermined frequency band (e.g., approximately 10 Hz or less) at the frequency of the output voltage (V _out ) through the filter 1020 and filter the remaining frequency bands.

According to one embodiment, the processor 1090 may identify whether the second time period is exceeded (S1918). The processor 1090 may identify whether the second time (1000 ms) is exceeded after the filtering process in step S1916.

According to one embodiment, the processor 1090 may measure the temperature of the finger through a temperature sensor and the pressure of the finger through a pressure sensor (S1920). When the second time (1000 ms) is exceeded, the processor 1090 can measure the temperature of the finger. The processor 1090 can identify the first temperature of the upper surface of the finger through the first temperature sensor 172 disposed on one side of the internal seating portion (e.g., the first PCB 151) and the other side of the internal seating portion. The second temperature of the lower surface of the finger can be identified through the second temperature sensor 174 disposed on the second PCB 152 (e.g., the second PCB 152).

Additionally, the processor 1090 may measure the bending of the PCB (eg, the second PCB 152) by the finger 182 through the pressure sensor 160. When the finger 182 is seated on the internal seating portion 30, the finger 182 comes into contact with the surface of the internal seating portion 30 and applies pressure to the PCB (e.g., the second PCB 152). The pressure The sensor 160 can measure the degree of bending of the PCB (eg, the second PCB 152) bent by such pressure. And, the pressure sensor 160 may transmit the measured pressure value to the control unit 150.

According to one embodiment, the processor 1090 may identify whether the digital voltage, temperature, and pressure are valid (S1922). Processor 1090 may identify whether the converted digital voltage is within a valid range or not within a valid range. For example, the processor 1090 may determine that the digital voltage is within a valid range when the digital voltage is within 400 mV to 800 mV. However, if the digital voltage is not within 400 mV to 800 mV, the processor 1090 may determine that the digital voltage is not within the effective range. And, this effective range can be variably adjusted.

Additionally, the processor 1090 may determine that the measured temperature is valid if the measured temperature is within 25°C to 35°C. If the measured temperature is not within 25°C to 35°C, the processor 1090 may determine that the measured temperature is invalid.

And, if the measured pressure is within a certain range (e.g., ±20%) compared to the average pressure (e.g., the average value of the pressure measured for correction in process (S1512) of FIG. 15), the measured pressure It can be determined that this average pressure exists within a certain range. Alternatively, the processor 1090 determines that if the measured pressure is within a certain range (e.g., ±20%) compared to the average pressure (e.g., the average value of pressure measured for glucose measurement), the measured pressure is within a certain range of the average pressure. It can be judged to exist.

In this way, the processor 1090 can determine whether each of the digital voltage, temperature, and pressure is valid or invalid.

According to one embodiment, the processor 1090 may output a notification informing of remeasurement (S1924). If the digital voltage is not within 400 mV to 800 mV in the above process (S1922), the processor 1090 may output a notification informing of glucose remeasurement through the input/output unit 1080.

Additionally, if the measured temperature is not within 25°C to 35°C, the processor 1090 may output a notification informing of re-measurement of the temperature of the finger through the input/output unit 1080. For example, if the measured temperature is not within 25°C to 35°C, the processor 1090 outputs a notification indicating re-measurement through at least one of the display unit 1081, the speaker 1082, and the light emitting unit 1084. can do.

Alternatively, if the measured temperature is not within 23°C to 37°C, the processor 1090 may output a notification indicating re-measurement through at least one of the display unit 1081, the speaker 1082, and the light emitting unit 1084. there is.

In addition, if the measured pressure is not within a certain range (e.g., ±20%) compared to the average pressure, the processor 1090 outputs a notification informing of re-measurement of the temperature of the finger through the input/output unit 1080. can do.

According to one embodiment, the processor 1090 may measure glucose based on the measured temperature and the digital voltage (S1926). If the measured pressure is within a certain range of the average pressure, the processor 1090 converts the current for the amount of light received through the light receiving unit 140 into a voltage, and changes the frequency of the converted voltage into a predetermined frequency band. Filter by Additionally, the processor 1090 can measure the user's glucose by compensating for the voltage of the filtered frequency.

According to one embodiment, the processor 1090 may display and store the measured glucose (S1928). The processor 1090 may display information about glucose measured through the user's finger 182 through an input/output unit (eg, display unit 1081). Additionally, the processor 1090 may store the glucose value measured through the user's finger 182 in the memory 1060.

As described above, the non-invasive glucose measurement device 1 according to the present invention can painlessly measure glucose without collecting blood by irradiating light to the finger and using the amount of light transmitted through the finger.

And, the non-invasive glucose measurement device 1 can accurately measure glucose based on digital voltage, measured temperature, and measured pressure.

Figure 20 is an exemplary diagram showing the layer structure of software of a non-invasive glucose measurement device according to an embodiment of the present invention. Figure 21 is a layer relationship diagram of software of a non-invasive glucose measurement device according to an embodiment of the present invention.

20 and 21, the software layers of the non-invasive glucose measurement device according to an embodiment of the present invention include Hardware Abstract Layer (2010) and System Management Layer (2020). and a User Interface Layer (2040).

According to one embodiment, Hardware Abstract Layer (2010) includes Linux Kernel API (ioctl) (2011), Device Driver Modules (2012), and External Sensor Interface (2012). External Sensor Interfaces (2013).

For example, the Linux kernel API basically provides an interface to control the kernel through the Abstract Control API (2021) at the application level.

For example, the device drive module 2012 and the external sensor interface 2013 define interfaces for devices required by the non-invasive glucose measurement device 1 and provide corresponding drivers.

For example, the device (i.e., non-invasive glucose measurement device 1) includes a light emitting unit 130, a light receiving unit 140, a temperature sensor unit 170, a pressure sensor 160, and a light emitting unit 1084. do.

The driver 2131 of the light emitting unit 1084 can control up to 8 LEDs and can adjust on/off and brightness for each LED. Additionally, the driver of the light emitting unit 1084 may provide an SPI interface driver.

The driver 2133 of the light receiving unit 140 can amplify the signal received through the photo diode, detect minute changes in current, and convert the amplified analog signal into a digital signal. The driver of this light receiving unit 140 provides an ADC driver and I2C driver for detecting photodiode signals, and provides gain settings and a potential meter driver for amplification control of the amplifier 1030.

Additionally, the driver of the light receiving unit 140 may receive a value converted from an amplified analog signal to a digital signal by providing an ADC access driver.

Additionally, the driver 2134 of the temperature sensor unit 170 detects temperature changes, and the driver of the pressure sensor 160 detects the pressure of the finger to prevent measurement errors.

Additionally, the device driver module 2012 may further include an ADC driver 2132, a button switch driver 2135, and an audio codec driver 2136.

According to one embodiment, the System Management Layer (2020) includes IPC Manager (2026), System Manager (2030), Bluetooth Manager (2025), and Upgrade Manager. (2024), Calibration Algorithm (2023), Audio Controller (2022), and Abstract Control API (2021).

According to one embodiment, the System Manager (2030) includes Access Data (2031), Gather Raw Data (2032), Config Data (2033), and measurement data. It consists of Measure Data (2034), Data Base (2035), Calculate Value (2036), and Power Monitor (2037).

According to one embodiment, the system management layer 2020 provides overall functions necessary for running applications, manages task scheduling between applications, and provides necessary communication channels.

According to one embodiment, the abstract control API (2021) is a collection of interface functions that allow applications to control or check the status of each hardware device. Raw data detected through the Linux kernel API (2011) used to access hardware devices is transmitted to the upper application, and conversely, the hardware device can be controlled through the Linux kernel API (2011) with the value transmitted from the upper application. do.

According to one embodiment, the audio controller (Audio Controller) 2022 provides guidance through voice information and controls the external or built-in audio codec and amplifier to play the built-in sound source file. [Table 1] below is an example of a sound source file.

Sound source list sound beep Sound for volume control Sleep Sleep mode entry sound Wakeup Wakeup sound Booting equipment boot sound Start measurement Measurement start sound (multilingual sound supported) End measurement Measurement end sound (multilingual sound supported) Measurement complete Measurement completion sound (multilingual sound supported)

According to one embodiment, the correction algorithm 2023 provides a process and algorithm for performing correction work using user data prior to actual measurement in order to calculate accurate output values for each user. The correction algorithm 2023 performs a correction process through each process in FIG. 15. According to one embodiment, the upgrade manager 2024 provides a software image upgrade function for maintenance of equipment. The upgrade is performed using USB communication or wireless communication.

According to one embodiment, the Bluetooth manager 2025 provides wireless communication with external devices (e.g., desktop PCs, smart phones, laptops, tablet PCs, other non-invasive glucose measurement devices, servers, etc.). The Bluetooth manager 2025 may include a BLE manager 2141 and a BLE module 2142.

According to one embodiment, the access data 2031 performs a read/write function for blood sugar measurement information and settings files.

According to one embodiment, the raw data collection 2032 fetches values output in real time from each sensor, such as the light receiver 140, pressure sensor 160, and temperature sensor 170, as raw values. The raw data collection 2032 detects the value of the light receiver 140 once every 50 ms and the pressure and temperature once per second.

According to one embodiment, the configuration data 2033 stores setting files and user customized setting data required for operation as shown in [Table 2] below.

Item Element Value LED Data(NUM1 ~ NUM8) act_usage On/off brightness_step 1~100% ADC Data act_usage On/off access_rate 1 to 20 SPS Speaker Data act_usage On/off volume_level 1~100% Display Data direction Normal/Reverse base_color Default/Blue/Red touch_timeout 0=None, 30sec, 1/3/5/10 min Language Data used_language Korean/English Potential Meter Data act_usage On/off register_step 1~100% Temperature Data (NUM1, NUM2) act_usage On/off BLE data act_usage On/off

According to one embodiment, the measurement data 2034 processes each fetch raw data (i.e., ADC value) into meaningful data suitable for blood sugar calculation by applying reference values defined for each device. And, the processing equation used to extract the ADC value is as shown in [Equation 4] below.

According to one embodiment, the database 2035 stores blood sugar measurement information by date and time. For example, the database 2035 provides eight basic measurement functions for daily waking up, before/after breakfast, before/after lunch, before/after dinner, and bedtime, and provides a search function for measurement data up to 90 days ago. Then, the correction result is saved.

According to one embodiment, the calculated value 2036 calculates the actual blood sugar level through [Equation 5] below by applying the ADC correction coefficient, temperature correction coefficient, and constant calculated during correction to the processed data.

According to one embodiment, the power monitor 2037 monitors power to maximize the life of the battery (not shown) of the non-invasive glucose measurement device 1, enters sleep mode, and wakes up the device when an event occurs. It provides a function and monitors the battery charge level.

For example, the power saving mode function includes power saving operation/disabling button events, power saving operation event timeout preparation when a touch event does not occur for a certain period of time, automatic power saving mode enable/disable, and power on/off functions.

According to one embodiment, the User Interface Layer (2040) includes a GUI (QT) (2041) and a Test Agent (2042). The user interface layer 2040 is a function that displays system information and user requirements to the user through a GUI (Graphic User Interface).

According to one embodiment, the GUI(QT) 2041 provides the user's requirements regarding blood sugar measurement and settings and status information of the non-invasive glucose measurement device 1 to the user through the GUI. In addition, the non-invasive glucose measurement device (1) provides a convenient and intuitive user interface and eight measurement functions as standard: wake up/sleep, before/after breakfast, before/after lunch, and before/after dinner. And, the GUI (QT) 2041 includes a UI application 2111 and UI APIs 2112, and the test agent 2042 provides a debug manager 2121 and USB 2122.

According to one embodiment, the test agent 2042 provides a user interface for rapid system testing by operating a test agent instead of a GUI. This test agent 2042 is a hidden function to general users.

Figure 22 is a flowchart showing a process in which a non-invasive glucose measurement device and a portable terminal transmit and receive history information about glucose measurement according to an embodiment of the present invention. Figure 23 is an exemplary diagram showing a status bar displayed on the input/output unit of a non-invasive glucose measurement device according to an embodiment of the present invention. Figure 24 (a) is an exemplary diagram showing a state in which a non-invasive glucose measurement device according to an embodiment of the present invention has not established a BLE connection with a portable terminal. Figure 24 (b) is an exemplary diagram showing a state in which a BLE connection is established between a non-invasive glucose measurement device and a portable terminal according to an embodiment of the present invention. Figure 24 (c) is an exemplary diagram showing a state in which a BLE connection is established between a mobile terminal and a non-invasive glucose measurement device according to an embodiment of the present invention. Figure 25 (a) is an example diagram showing history information about glucose measurement in a portable terminal according to an embodiment of the present invention. Figure 25 (b) is an exemplary diagram showing a glucose measurement value displayed by a portable terminal according to an embodiment of the present invention.

Hereinafter, with reference to Figures 22 to 25 (b), the process of transmitting and receiving history information about glucose measurement between a non-invasive glucose measurement device and a portable terminal according to an embodiment of the present invention will be described in detail as follows.

According to one embodiment, the non-invasive glucose measurement device 1 and the portable terminal 2210 may set up a BLE (Bluetooth Low Energy) channel (S2210). Based on the user's request, the non-invasive glucose measurement device 1 and the mobile terminal 2210 can connect a BLE channel for transmitting and receiving signals or data. The non-invasive glucose measurement device 1 and the portable terminal 2210 operate in the 80 MHz band in the range of 2.4 GHz to 2.480 GHz. Additionally, 80MHz is divided into 40 channels at 2MHz intervals. Of the 40 channels, 3 channels are used as advertising channels, and 37 channels are used as channels for transmitting and receiving data.

The non-invasive glucose measurement device 1 may operate as a central device, and the portable terminal 2210 may operate as a peripheral device. Alternatively, the portable terminal 2210 may operate as a central device and the non-invasive glucose measurement device 1 may operate as a peripheral device.

For example, a non-invasive glucose measurement device 1 may allow only one-to-one communication.

Referring to FIG. 23, the non-invasive glucose measurement device 1 may display a screen 2310 for the status bar of a program (eg, a program that measures glucose). For example, when the environment settings are selected, the non-invasive glucose measurement device 1 displays a screen 2310 containing information about the detailed settings of the non-invasive glucose measurement device 1 through the input/output unit 1080 (e.g. It can be displayed through the display unit 1081).

For example, the screen 2310 includes a home icon 2302 for displaying the home screen, a Bluetooth icon 2303 for activating communication, a battery type 2304, and a detailed settings icon for the non-invasive glucose measurement device 1. (2305) may be included.

This screen 2310 may include the current date, home screen movement icon 2301, BLE connection status 2306, battery charging status 2307, and environment settings screen movement icon 2308.

Referring to Figures 24 (a) and (b), the non-invasive glucose measurement device 1 displays information 2410 indicating that the connection is disconnected when the BLE connection with the mobile terminal 2210 is not established. 1081). This information 2410 may include a deactivated BLE icon 2411.

Additionally, the non-invasive glucose measurement device 1 may display information 2420 indicating that a BLE connection with the portable terminal 2210 is established on the display unit 1081. This information 2420 may include a deactivated BLE icon 2421.

Referring to (c) of FIG. 24, the mobile terminal 2210 may display an icon 2430 on the application indicating that a BLE connection with the non-invasive glucose measurement device 1 is established.

According to one embodiment, the mobile terminal 2210 may identify whether registration information for the user of the non-invasive glucose measurement device 1 is entered (S2212). The mobile terminal 2210 provides information about the non-invasive glucose measurement device 1 (e.g., product name, model name, version information) and user registration information (e.g., ID, password, user's age, gender, etc.) through the application. weight, address, etc.) can be entered.

According to one embodiment, the mobile terminal 2210 may transmit registration information to the non-invasive glucose measurement device 1 (S2214). The mobile terminal 2210 provides information about the glucose measuring device 1 entered by the user through the application (e.g., product name, model name, version information) and registration information about the user (e.g., ID, password, user's age, Gender, weight, address, etc.) can be encrypted and transmitted to the non-invasive glucose measurement device (1) through the BLE channel.

According to one embodiment, the non-invasive glucose measurement device 1 may store registration information (S2216). The non-invasive glucose measurement device 1 includes information about the glucose measurement device 1 received from the mobile terminal 2210 (e.g., product name, model name, version information) and user registration information (e.g., ID, password, The user's age, gender, weight, address, etc.) can be stored in the memory 1060. For example, the non-invasive glucose measurement device 1 may store the user's name, gender, and date of birth in the memory 1060.

According to one embodiment, when login information is entered on the application, the mobile terminal 2210 may transmit the entered login information to the non-invasive glucose measurement device 1 (S2218, S2220). The mobile terminal 2210 may encrypt login information (eg, ID and password) entered through the application and transmit it to the non-invasive glucose measurement device 1 through the BLE channel.

According to one embodiment, the non-invasive glucose measurement device 1 may perform authentication (S2222). When login information is received, the non-invasive glucose measurement device 1 may perform an authentication process for the received login information based on the registration information received in the process (S2214).

For example, if the received login information is included in the received registration information, the non-invasive glucose measurement device 1 may determine that the login information is valid.

Alternatively, if the received login information is not included in the received registration information, the non-invasive glucose measurement device 1 may determine that the login information is invalid.

According to one embodiment, if authentication is not confirmed, the non-invasive glucose measurement device 1 may transmit authentication error information to the mobile terminal 2210 (S2224). The non-invasive glucose measurement device 1 may transmit error information indicating that the ID and password entered through the application of the mobile terminal 2210 are invalid to the mobile terminal 2210.

According to one embodiment, when authentication is confirmed, the non-invasive glucose measurement device 1 may transmit authentication approval information to the mobile terminal 2210 (S2226). The non-invasive glucose measurement device 1 may transmit authentication approval information indicating that the ID and password entered through the application of the mobile terminal 2210 are valid to the mobile terminal 2210.

According to one embodiment, the mobile terminal 2210 may identify whether history information about glucose measurement is requested (S2228). The mobile terminal 2210 may receive a command requesting history information (e.g., glucose level, measurement time, etc.) regarding glucose measurements measured daily, weekly, or monthly through an application.

According to one embodiment, the mobile terminal 2210 may request history information about glucose measurement from the non-invasive glucose measurement device 1 (S2230). The mobile terminal 2210 may request history information about glucose measurement (e.g., glucose level, measurement time, etc.) from the non-invasive glucose measurement device 1 through the BLE channel.

According to one embodiment, the non-invasive glucose measurement device 1 may obtain history information about glucose measurement from memory (S2232). The non-invasive glucose measurement device 1 may obtain history information regarding glucose measurements measured daily, weekly, and monthly from the memory 1060 based on the received request.

According to one embodiment, the non-invasive glucose measurement device 1 may transmit the acquired history information to the mobile terminal 2210 (S2234). The non-invasive glucose measurement device 1 may encrypt the history information obtained from the memory 1060 and then transmit it to the portable terminal 2210.

According to one embodiment, the non-invasive glucose measurement device 1 and the mobile terminal 2210 may release the established BLE connection (S2236). After transmitting the encrypted history information to the mobile terminal 2210, the non-invasive glucose measurement device 1 may request the mobile terminal 2210 to release the BLE connection. Alternatively, when encrypted history information is received, the mobile terminal 2210 may request the non-invasive glucose measurement device 1 to release the BLE connection.

Alternatively, the non-invasive glucose measurement device 1 may automatically release the BLE connection with the mobile terminal 2210 after transmitting the encrypted history information to the mobile terminal 2210. In this way, the non-invasive glucose measurement device 1 can prevent security threats by automatically disconnecting the BLE connection with the mobile terminal 2210 after transmitting the encrypted history information to the mobile terminal 2210.

According to one embodiment, the mobile terminal 2210 can decrypt the encrypted history information and then display it through an application.

In the present invention, the AES-256 (Advanced Encryption Standard) method is used for encryption and decryption of history information. AES-256 is a symmetric key encryption storage technology. The length of the data block is 128 bits, and there are three security key lengths: 128 bits, 192 bits, and 256 bits. The longer the security key, the higher the security strength because the number of cases increases during the encryption process.

According to one embodiment, either the non-invasive glucose measurement device 1 or the mobile terminal 2210 may transmit this security key in the above process (S2210).

Alternatively, the mobile terminal 2210 may transmit the registration information and the security key to the non-invasive glucose measurement device 1 in the above process (S2214). These security keys can be used to encrypt and encode historical information.

The non-invasive glucose measurement device 1 and the mobile terminal 2210 can use a Bluetooth media access control (MAC) address as a security key when first connected. Thereafter, when the user is registered, the non-invasive glucose measurement device 1 and the mobile terminal 2210 can generate a security key and encrypt or encode history information through the generated security key.

Referring to (a) of FIG. 25, the application of the mobile terminal 2210 may display a screen 2510 including history information. This screen 2510 may include a welcome message, and information 2511 including the measurement period and information 2512 about when glucose was measured during the measurement period.

Referring to (b) of FIG. 25, the application of the mobile terminal 2210 may display a screen 2520 including history information. This screen 2520 may include information 2521 expressing the glucose level measured during the measurement period as a bar graph.

As described above, the non-invasive glucose measurement device 1 according to the present invention transmits history information about glucose measurement to the mobile terminal 2210 in response to a request from the mobile terminal 2210, and By transmitting, the mobile terminal 2210 can display the glucose measurement results for the user by cycle through the application, and the user can check his or her glucose level.

Below, a system that provides customized information related to glucose using deep learning will be described.

Figure 26 is a flowchart showing the operation process of a system that provides customized information using a non-invasive glucose measurement device according to an embodiment of the present invention.

Hereinafter, with reference to FIG. 26, the operation process of a system that provides customized information using a non-invasive glucose measurement device according to an embodiment of the present invention will be described in detail as follows.

According to one embodiment, the non-invasive glucose measurement device 1 and the portable terminal 2210 may set up a BLE (Bluetooth Low Energy) channel (S2610). Based on the user's request, the non-invasive glucose measurement device 1 and the mobile terminal 2210 can connect a BLE channel for transmitting and receiving signals or data. The non-invasive glucose measurement device 1 and the portable terminal 2210 operate in the 80 MHz band in the range of 2.4 GHz to 2.480 GHz. Additionally, 80MHz is divided into 40 channels at 2MHz intervals. Of the 40 channels, 3 channels are used as advertising channels, and 37 channels are used as channels for transmitting and receiving data.

The non-invasive glucose measurement device 1 may operate as a central device, and the portable terminal 2210 may operate as a peripheral device. Alternatively, the portable terminal 2210 may operate as a central device and the non-invasive glucose measurement device 1 may operate as a peripheral device.

For example, a non-invasive glucose measurement device 1 may allow only one-to-one communication.

According to one embodiment, the non-invasive glucose measurement device 1 can acquire big data related to glucose (S2612). The non-invasive glucose measurement device 1 may receive big data related to glucose measurement from the server 2610, and this big data may include averages for each of the age, glucose level, gender, and weight of many users. You can. In addition, the big data includes correction information (e.g., temperature, pressure, algorithm, etc.) and setting information (e.g., measurement time, sensitivity of the pressure sensor, gain, effective range, etc.) for the same model as the non-invasive glucose measurement device (1). ) may include.

According to one embodiment, the non-invasive glucose measurement device 1 may acquire correction information and glucose measurement data stored in the memory 1060 (S2614). The non-invasive glucose measurement device (1) contains calibration information (e.g. temperature, pressure, algorithm, etc.), setting information set in the non-invasive glucose measurement device (1) (e.g. measurement timing, sensitivity of the pressure sensor, gain, effective range, etc.). ) and glucose information measured by the user (e.g., timing of glucose measurement, number of measurements, glucose level, etc.) can be obtained from the memory 1060.

According to one embodiment, the non-invasive glucose measurement device 1 may generate customized correction information and customized setting information based on acquired big data (S2616). The non-invasive glucose measurement device (1) can apply deep learning to the acquired big data to generate customized correction information and customized setting information to customize the correction information and settings information of the non-invasive glucose measurement device (1) to the user. there is.

The non-invasive glucose measurement device (1) can perform analysis and prediction processes based on deep learning neural networks on the acquired big data. The non-invasive glucose measurement device (1) calculates the output value of an artificial neuron using big data as an input value for deep learning, and can perform analysis and prediction of the user's glucose level by applying weight to the calculated output value. there is. And, the non-invasive glucose measurement device 1 can perform analysis and prediction based on this deep learning neural network to generate (or obtain) customized correction information and customized setting information.

A description of this deep learning neural network will be provided later.

According to one embodiment, the non-invasive glucose measurement device 1 may reflect customized correction information and customized setting information (S2618). The non-invasive glucose measurement device 1 may reflect the generated customized correction information and customized setting information to the non-invasive glucose measurement device 1.

Through this, the non-invasive glucose measurement device 1 (e.g., processor 1090) can reflect (or set) correction information by other users to the non-invasive glucose measurement device 1.

For example, the non-invasive glucose measurement device 1 (e.g., processor 1090) reflects correction information (e.g., temperature, pressure, algorithm, etc.) to the non-invasive glucose measurement device 1 to correspond to each average. By adjusting the glucose measurement device 1, the glucose measurement device 1 can be customized to the user.

For example, the non-invasive glucose measurement device 1 (e.g., processor 1090) stores setting information (e.g., measurement timing, sensitivity of the pressure sensor, gain, effective range, etc.) to correspond to each average. By reflecting and adjusting the measurement device 1, the glucose measurement device 1 can be customized to the user.

According to one embodiment, the non-invasive glucose measurement device 1 may transmit glucose measurement data to the portable terminal 2210 (S2620). The non-invasive glucose measurement device 1 may encrypt the glucose measurement data obtained from the memory 1060 and transmit it to the mobile terminal 2210 through a BLE channel.

According to one embodiment, the mobile terminal 2210 may transmit glucose measurement data from the non-invasive glucose measurement device 1 to the server 2610 (S2622). The mobile terminal 2210 may convert the glucose measurement data received from the non-invasive glucose measurement device 1 to correspond to the communication protocol with the server 2610 and transmit it to the server 2610.

According to one embodiment, the server 2610 may analyze and predict glucose measurement data based on deep learning (S2624). The server 2610 may perform analysis and prediction processes on glucose measurement data received from the mobile terminal 2210 based on a deep learning neural network. The server 2610 can calculate the output value of the artificial neuron using glucose measurement data as an input value for deep learning, and perform analysis and prediction of the user's glucose level by applying a weight to the calculated output value. Additionally, the server 2610 may perform analysis and prediction based on this deep learning neural network to generate (or obtain) information customized to the user (e.g., glucose information, dietary information, etc.).

A description of this deep learning neural network will be provided later.

According to one embodiment, the server 2610 may obtain glucose information and dietary information (S2626). The server 2610 analyzes and predicts the user's glucose level based on a deep learning neural network, thereby providing dietary information, diet information, eating habits information, lifestyle habits, and blood sugar levels by hour, day, and season to manage the user's glucose level. You can obtain information, etc.

According to one embodiment, the server 2610 may transmit customized information to the mobile terminal 2210 (S2628). The server 2610 can generate customized information including dietary information, diet information, eating habits information, lifestyle habits, hourly, daily, and seasonal blood sugar information for managing the user's glucose level, and then transmit it to the mobile terminal 2210. there is.

According to one embodiment, the mobile terminal 2210 may display customized information (S2630). The mobile terminal 2210 can display customized information received from the server 2610 through an application.

According to one embodiment, the mobile terminal 2210 may transmit customized information to the non-invasive glucose measurement device 1 (S2632). The mobile terminal 2210 may display customized information received from the server 2610 through an application, and may transmit the customized information to the non-invasive glucose measurement device 1 through a BLE channel.

According to one embodiment, the non-invasive glucose measurement device 1 can display customized information (S2634). The non-invasive glucose measurement device 1 can display customized information transmitted by the server 2610 through the display unit 1081.

According to one embodiment, the non-invasive glucose measurement device 1 and the mobile terminal 2210 may release the established BLE connection (S2636). After receiving customized information from the mobile terminal 2210, the non-invasive glucose measurement device 1 may request the mobile terminal 2210 to release the BLE connection.

The non-invasive glucose measurement device 1 and the mobile terminal 2210 use the AES-256 (Advanced Encryption Standard) method for encryption and decryption to transmit and receive customized information. AES-256 is a symmetric key encryption storage technology. The length of the data block is 128 bits, and there are three security key lengths: 128 bits, 192 bits, and 256 bits. The longer the security key, the higher the security strength because the number of cases increases during the encryption process.

According to one embodiment, either the non-invasive glucose measurement device 1 or the mobile terminal 2210 may transmit this security key in the above process (S2610).

Figure 27 is a flowchart showing the operation process of a system that provides customized information using a non-invasive glucose measurement device according to another embodiment of the present invention.

Hereinafter, with reference to FIG. 27, the operation process of a system that provides customized information using a non-invasive glucose measurement device according to another embodiment of the present invention will be described in detail as follows.

According to one embodiment, the non-invasive glucose measurement device 1 and the portable terminal 2210 may set up a BLE (Bluetooth Low Energy) channel (S2710). Based on the user's request, the non-invasive glucose measurement device 1 and the mobile terminal 2210 can connect a BLE channel for transmitting and receiving signals or data. The non-invasive glucose measurement device 1 and the portable terminal 2210 operate in the 80 MHz band in the range of 2.4 GHz to 2.480 GHz. Additionally, 80MHz is divided into 40 channels at 2MHz intervals. Of the 40 channels, 3 channels are used as advertising channels, and 37 channels are used as channels for transmitting and receiving data.

According to one embodiment, the non-invasive glucose measurement device 1 may transmit glucose measurement data to the portable terminal 2210 (S2712). The non-invasive glucose measurement device 1 may encrypt the glucose measurement data obtained from the memory 1060 and transmit it to the mobile terminal 2210 through a BLE channel.

According to one embodiment, the mobile terminal 2210 may transmit glucose measurement data to the server 2610 (S2714). The mobile terminal 2210 may convert the glucose measurement data received from the non-invasive glucose measurement device 1 to correspond to the communication protocol with the server 2610 and transmit it to the server 2610.

According to one embodiment, the server 2610 may perform analysis and prediction processes based on deep learning (S2716). The server 2610 may perform analysis and prediction processes on glucose measurement data received from the mobile terminal 2210 based on a deep learning neural network. The server 2610 can calculate the output value of the artificial neuron using glucose measurement data as an input value for deep learning, and perform analysis and prediction of the user's glucose level by applying a weight to the calculated output value. Additionally, the server 2610 may perform analysis and prediction based on this deep learning neural network to generate (or obtain) information customized to the user (e.g., glucose information, dietary information, etc.).

A description of this deep learning neural network will be provided later.

According to one embodiment, the server 2610 may obtain glucose information and dietary information (S2718). The server 2610 analyzes and predicts the user's glucose level based on a deep learning neural network, thereby providing dietary information, diet information, eating habits information, lifestyle habits, and blood sugar levels by hour, day, and season to manage the user's glucose level. You can obtain information, etc.

According to one embodiment, the server 2610 may transmit customized information to the mobile terminal 2210 (S2720). The server 2610 can generate customized information including dietary information, diet information, eating habits information, lifestyle habits, hourly, daily, and seasonal blood sugar information for managing the user's glucose level, and then transmit it to the mobile terminal 2210. there is.

According to one embodiment, the mobile terminal 2210 may display customized information (S2722). The mobile terminal 2210 can display customized information received from the server 2610 through an application.

According to one embodiment, the mobile terminal 2210 may transmit customized information to the non-invasive glucose measurement device 1 (S2724). The mobile terminal 2210 may display customized information received from the server 2610 through an application, and may transmit the customized information to the non-invasive glucose measurement device 1 through a BLE channel.

According to one embodiment, the non-invasive glucose measurement device 1 can display customized information (S2726). The non-invasive glucose measurement device 1 can display customized information transmitted by the server 2610 through the display unit 1081.

According to one embodiment, the non-invasive glucose measurement device 1 and the mobile terminal 2210 may release the established BLE connection (S2728). After receiving customized information from the mobile terminal 2210, the non-invasive glucose measurement device 1 may request the mobile terminal 2210 to release the BLE connection.

The non-invasive glucose measurement device 1 and the mobile terminal 2210 use the AES-256 (Advanced Encryption Standard) method for encryption and decryption to transmit and receive customized information. AES-256 is a symmetric key encryption storage technology. The length of the data block is 128 bits, and there are three security key lengths: 128 bits, 192 bits, and 256 bits. The longer the security key, the higher the security strength because the number of cases increases during the encryption process.

According to one embodiment, either the non-invasive glucose measurement device 1 or the mobile terminal 2210 may transmit this security key in the above process (S2710).

Figure 28 is an example diagram schematically showing the configuration of a deep learning neural network used in the non-invasive glucose measurement device or server of the present invention. FIG. 29 is an example diagram showing the deep learning neural network shown in FIG. 28 reorganized into a matrix form.

Referring to Figures 28 and 29, the input data (x1, x2, x3) input to the deep learning neural network are parameters of big data, and the output data (y1, y2, y3) is customized correction information or customized setting information. Here, the number of input data (x1, x2, x3) and output data (y1, y2, y3) may vary depending on the number of parameters of big data or the number of corrections of the non-invasive glucose measurement device 1.

The input data and output data input to the deep learning neural network are data used for learning of the deep learning neural network. As the number of inputs and outputs to the deep learning neural network increases, the accuracy of correction information and the accuracy of setting information can be improved. In the present invention, a deep learning neural network can be defined based on a convolutional neural network.

As variables used to derive the correlation between input data and output data input to the deep learning neural network of the present invention, weight (W) and correction value (b) can be used. In other words, a weight (W) is applied to the big data parameters (x1, x2, x3), and the correction value (b) is reflected here to predict customized correction information (or customized setting information) (y1, y2, y3). It will happen.

To this end, the process of generating customized correction information or customized setting information includes calculating weights of parameters of big data for predicting customized correction information or customized setting information through learning data (input data and output data). .

In the present invention, the deep learning neural network can update the weight (W) as learning data (input data and output data) is accumulated, and the weight (W) update is performed by the deep learning neural network calculated by the cost function. It can be performed based on gradient descent, which minimizes the output error. The process of calculating the output error of a deep learning neural network and updating the weights can be called a feedback process.

The cost function will converge the weight (W) and correction value (b) in a direction that minimizes the output error as the number of repetitions increases, and by applying the converged weight (W) and correction value (b), big data The accuracy of customized correction information (or customized setting information) predicted from the parameters of can be improved.

Each step in each flowchart described above may be operated regardless of the order shown, or may be performed simultaneously. Additionally, at least one component of the present invention and at least one operation performed by the at least one component may be implemented in hardware and/or software.

As described above, the present invention has been described with reference to the illustrative drawings, but the present invention is not limited to the embodiments and drawings disclosed herein, and various modifications may be made by those skilled in the art within the scope of the technical idea of the present invention. It is obvious that transformation can occur. In addition, although the operational effects according to the configuration of the present invention were not explicitly described and explained while explaining the embodiments of the present invention above, it is natural that the predictable effects due to the configuration should also be recognized.

1: Non-invasive glucose measurement device 130: Light irradiation unit
140: light receiving unit 150: control unit
160: pressure sensor 170: temperature sensor unit
1010: Current/voltage converter 1020: Filter
1030: Amplifier 1040: A/D converter
1050: Controller 1060: Memory
1070: Communication unit 1080: Input/output unit
1090: Processor 1710: Light emitting element
1720: Spherical lens 1730: Aspherical lens
1740: Case 1750: Detection area
1760: photo diode 1810: aperture
1820: cover 1910: substrate
2010: Mobile terminal 2610: Server

Claims (11)

In a non-invasive glucose measurement device that provides customized information,
A light irradiation unit located on one side of the inner seating portion and irradiating light toward the finger inserted into the inner seating portion;
a light receiving unit located on the other side of the inner seating part with the finger in between, and receiving the light irradiated from the light irradiation unit and passing through the finger;
Two pressure measuring units each including a button inserted into a hole formed on one side of the internal seating unit and a pressure sensor that measures pressure caused by pressing the button by the finger - the two pressure measuring units are connected to the internal seating unit. Arranged apart from each other in the lower part of the unit -; and
A change in refractive index due to a change in at least one of intracellular fluid (ICF) and interstitial fluid for the finger based on the light irradiated toward the finger from the light irradiation unit disposed below the finger. Identify, convert the current for the amount of light passing through the finger into voltage, filter the frequency of the converted voltage into a predetermined frequency band, and based on the voltage of the filtered frequency and the measured pressure. It includes a control unit set to measure the user's glucose,
Each of the two pressure measuring units is,
The button is inserted into a hole formed on one side of the internal seating portion and formed on the upper surface to be in close contact with the finger, a substrate disposed below the button and bent downward when the button is pressed downward, and disposed on the lower surface of the substrate, It includes a pressure sensor that detects bending of the substrate and measures pressure caused by pressing the button, and a cable that transmits information about the measured pressure to the control unit,
The control unit,
Adjusting the gain value differently depending on the thickness of the finger, compensating the voltage by reflecting the adjusted gain value to the voltage of the filtered frequency, and amplifying the compensated voltage,
The control unit,
a memory for storing the measured glucose;
display unit;
Ministry of Communications; and
Obtaining big data related to glucose through the communication unit,
Obtaining correction information stored in the memory and glucose measurement data for the user,
Using deep learning, customized correction information and customized setting information are generated based on the obtained big data,
Transmitting the glucose measurement data to a server through a mobile terminal,
It includes a processor configured to display customized information received from the server through the mobile terminal,
The processor,
Calculating weights of big data parameters for predicting the customized correction information and the customized setting information,
A non-invasive glucose measurement device that applies the calculated weights to the parameters of the big data and then reflects the correction values to generate the customized correction information.
According to claim 1,
The processor,
A non-invasive glucose measurement device configured to reflect the generated customized setting information to the non-invasive glucose measurement device.
According to claim 1,
The big data is
A non-invasive glucose measurement device comprising averages for each of the glucose levels, age, gender, and weight of a plurality of users stored in the server.
According to clause 3,
The processor,
A non-invasive glucose measuring device configured to generate the customized correction information and the customized setting information by adjusting the correction information and setting information regarding the non-invasive glucose measuring device to correspond to the respective averages.
According to claim 1,
The customized information is,
A non-invasive glucose measurement device including dietary information and lifestyle information customized to the user.
A method performed in a non-invasive glucose measurement device that provides customized information, comprising:
The non-invasive glucose measurement device,
A light irradiation unit located on one side of the internal seating unit and irradiating light toward the finger inserted into the internal seating unit, located on the other side of the internal seating unit with the finger in between, and irradiated from the light irradiation unit to the finger. Two pressure measuring units each including a light receiving unit for receiving the light passing through, a button inserted into a hole formed on one side of the internal seating unit, and a pressure sensor for measuring the pressure caused by pressing the button by the finger - The two pressure measuring units are arranged to be spaced apart from each other at the lower part of the internal seating unit; and a refractive index according to a change in at least one of intracellular fluid (ICF) and interstitial fluid for the finger based on the light irradiated toward the finger from the light irradiation unit disposed below the finger. Identify the change, convert the current for the amount of light transmitted through the finger into voltage, filter the frequency of the converted voltage into a predetermined frequency band, and based on the voltage of the filtered frequency and the measured pressure. It includes a control unit set to measure the user's glucose,
Each of the two pressure measuring units is,
The button is inserted into a hole formed on one side of the internal seating portion and formed on the upper surface to be in close contact with the finger, a substrate disposed below the button and bent downward when the button is pressed downward, and disposed on the lower surface of the substrate, It includes a pressure sensor that detects bending of the substrate and measures pressure caused by pressing the button, and a cable that transmits information about the measured pressure to the control unit,
The method is:
The process of acquiring big data related to glucose through the Department of Communications;
A process of acquiring correction information stored in memory and glucose measurement data for the user;
A process of generating customized correction information and customized setting information based on the acquired big data using deep learning;
A process of transmitting the glucose measurement data to a server through a mobile terminal; and
Including the process of displaying customized information received from the server through the mobile terminal,
The process of generating the customized correction information and customized setting information is,
A process of calculating weights of parameters of big data for predicting the customized correction information and the customized setting information; and
A method comprising applying the calculated weight to the parameters of the big data and then reflecting the correction value to generate the customized correction information.
According to clause 6,
The process of generating the customized correction information and the customized setting information is,
A method comprising reflecting the generated customized setting information to the non-invasive glucose measurement device.
According to clause 6,
The process of generating the customized correction information and the customized setting information is,
Adjust the correction information and setting information regarding the non-invasive glucose measurement device to correspond to the average of each of the glucose levels, age, gender, and weight for a plurality of users stored in the server, thereby creating the customized correction information and the customized information. A method that includes the process of generating configuration information.
In a system that provides customized information using a non-invasive glucose measurement device,
A server that stores big data related to glucose;
a mobile terminal in communication with the server and the non-invasive glucose measurement device; and
A light irradiation unit located on one side of the internal seating unit and irradiating light toward the finger inserted into the internal seating unit, located on the other side of the internal seating unit with the finger in between, and irradiated from the light irradiation unit to the finger. Two pressure measuring units each including a light receiving unit for receiving the light passing through, a button inserted into a hole formed on one side of the internal seating unit, and a pressure sensor for measuring the pressure caused by pressing the button by the finger - The two pressure measuring units are arranged to be spaced apart from each other at the lower part of the internal seating unit; and a refractive index according to a change in at least one of intracellular fluid (ICF) and interstitial fluid for the finger based on the light irradiated toward the finger from the light irradiation unit disposed below the finger. Identify the change, convert the current for the amount of light transmitted through the finger into voltage, filter the frequency of the converted voltage into a predetermined frequency band, and based on the voltage of the filtered frequency and the measured pressure. It includes a non-invasive glucose measurement device including a control unit configured to measure the user's glucose,
Each of the two pressure measuring units,
The button is inserted into a hole formed on one side of the internal seating portion and formed on the upper surface to be in close contact with the finger, a substrate disposed below the button and bent downward when the button is pressed downward, and disposed on the lower surface of the substrate, It includes a pressure sensor that detects bending of the substrate and measures pressure caused by pressing the button, and a cable that transmits information about the measured pressure to the control unit,
The non-invasive glucose measurement device,
Adjusting the gain value differently depending on the thickness of the finger, compensating the voltage by reflecting the adjusted gain value to the voltage of the filtered frequency, and amplifying the compensated voltage,
Obtaining the big data,
Obtaining correction information stored in memory and glucose measurement data for the user,
Using deep learning, customized correction information and customized setting information are generated based on the obtained big data,
Transmitting the glucose measurement data to a server through the mobile terminal,
It includes a processor configured to display customized information received from the server through the mobile terminal,
The processor,
Calculating weights of big data parameters for predicting the customized correction information and the customized setting information,
A system that applies the calculated weights to the parameters of the big data and then reflects the correction values to generate the customized correction information.
According to clause 9,
The server is,
When glucose measurement data for the user is received through the mobile terminal, customized information is generated based on the received glucose measurement data using deep learning,
A system wherein the customized information includes dietary information and lifestyle information customized to the user.
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