TWI764327B - Cloud system of non-invasive measuring blood glucose - Google Patents

Abstract

A cloud system of non-invasive measuring blood glucose is disclosed, and includes a non-invasive measuring blood glucose device, a mobile electronic device, and a cloud server for implementing a process of cloud measuring blood glucose. The non-invasive measuring blood glucose device is intended for a user to contact, and the mobile electronic device executing an application is in a non-contact manner connected to the non-invasive measuring blood glucose device for wireless communication. The cloud server away from the mobile electronic device is connected to the mobile electronic device through a wireless network. In particular, the non-invasive measuring blood glucose device generates a sensing signal from the user, and the mobile electronic device receives and further transmits the sensing signal. The cloud server calculates and transmits blood glucose to the mobile electronic device for instantly displaying the blood glucose for the user.

Description

Non-Invasive Cloud Blood Glucose Measurement System

The present invention relates to a non-invasive cloud blood glucose measurement system, in particular, a handheld electronic device is used to connect a non-invasive blood glucose sensing device and a cloud server, and the non-invasive blood glucose sensing device senses the user's sensing The signal is then sent to the cloud server through the handheld electronic device to calculate the blood sugar level, and the information including the blood sugar level is displayed on the display screen of the handheld electronic device for the user's reference. Breaking the skin for blood collection can avoid bacterial infection and greatly improve the safety of blood glucose measurement.

As we all know, blood glucose refers to the glucose in the blood. Generally speaking, the glucose after the digestion of food enters the blood from the small intestine and is transported to various cells in the body. It is the main energy source of the cells. Therefore, the glucose content in the blood is Important physiological indicators of the human body are related to the activity of cell absorption and metabolism. The concentration of blood sugar in the human body is usually controlled within a narrow range, such as 800-1200 mg/L.

Imbalanced blood sugar levels can lead to a variety of diseases, such as hyperglycemia that is persistently high and hypoglycemia that is too low. Usually, persistent hyperglycemia leads to diabetes, which is also the most significant disease related to blood sugar concentration, while hypoglycemia causes symptoms such as dizziness, inability to concentrate, and even shock.

For diabetic patients, it is necessary to pay attention to the blood sugar level and inject insulin to reduce the blood sugar concentration, so as to avoid excessive blood sugar and affect the health of the vital organs of the body.

Traditionally, the measurement method of blood sugar level is to directly use a sampler to puncture the finger to collect blood, and then use appropriate drugs or testing instruments to detect the blood sugar level. Obviously, there is a risk of bacterial infection in the wound caused by puncturing the finger, and under the frequent puncturing of the finger, the body's immunity will also be affected, thereby reducing the speed of wound healing.

Therefore, there is a great need for an innovative non-invasive cloud blood glucose measurement system, which uses a handheld electronic device to connect a non-invasive blood glucose sensing device and a cloud server, and the non-invasive blood glucose sensing device senses the user's sensing The signal is then sent to the cloud server through the handheld electronic device to calculate the blood sugar level, and the information including the blood sugar level is displayed on the display screen of the handheld electronic device for the user's reference. Blood sampling by breaking the skin can avoid bacterial infection and greatly improve the safety of blood glucose measurement, thereby solving all the problems of the above-mentioned conventional techniques.

The main purpose of the present invention is to provide a non-invasive cloud blood glucose measurement system, including a non-invasive blood glucose sensing device, a handheld electronic device and a cloud server for performing cloud blood glucose measurement operations, wherein the non-invasive blood glucose sensing The device has a wireless communication function and generates an excitation signal for the user to contact. The excitation signal is a square wave signal, and the frequency of the square wave signal is between 100 and 500 Hz. The handheld electronic device has a display screen, which is executed by running the application program It is connected to the non-invasive blood glucose sensing device in a non-contact manner for wireless communication, and an operation screen is displayed on the display screen as an operation interface. In addition, the cloud server is located at the remote end of the handheld electronic device, and is connected to the handheld electronic device through a wireless network.

Specifically, the above cloud blood glucose measurement operation includes the following steps in sequence.

First, the non-invasive blood glucose sensing device waits for a preset waiting time when the user touches it, then senses the sensing signal according to the excitation signal, and transmits the sensing signal to the handheld electronic device, wherein the sensing signal corresponds to for the excitation signal.

Then, the handheld electronic device receives and converts the sensing signal to generate a blood glucose sensing signal, and transmits the blood glucose sensing signal to the cloud server, and the cloud server receives and utilizes the blood glucose sensing signal to perform blood glucose calculation processing to generate and transmit the blood glucose information, and the blood sugar information includes the user's blood sugar level.

Finally, the handheld electronic device receives the blood glucose information, and displays the blood glucose value on the operation screen of the display screen through the application program.

In addition, another object of the present invention is to provide a non-invasive cloud blood glucose measurement system, including a non-invasive blood glucose sensing device and a handheld electronic device for performing cloud blood glucose measurement operations, wherein the non-invasive blood glucose sensing device It has a wireless communication function and generates an excitation signal for the user to contact. The excitation signal is a square wave signal, and the frequency of the square wave signal is between 100 and 500 Hz. The handheld electronic device has a display screen, which is generated by running an application program It is connected to the non-invasive blood glucose sensing device in a non-contact way for wireless communication, and the operation screen is displayed on the display screen as an operation interface.

Specifically, the above cloud blood glucose measurement operation includes the following steps in sequence.

First, the non-invasive blood glucose sensing device waits for a preset waiting time when the user touches it, then senses the sensing signal according to the excitation signal, and transmits the sensing signal to the handheld electronic device, wherein the sensing signal corresponds to for the excitation signal.

Then, the handheld electronic device uses the application program to convert the sensing signal to generate a blood glucose sensing signal. Then, the application uses the blood sugar sensing signal to perform blood sugar calculation processing to generate blood sugar information, and the blood sugar information includes the user's blood sugar level. Finally, the handheld electronic device displays the blood glucose level on the operation screen of the display screen through the application program.

Therefore, the non-invasive cloud blood glucose measurement system of the present invention provides a non-invasive blood glucose sensing device to connect with the handheld electronic device, and the non-invasive blood glucose sensing device senses the user's sensing signal, and then the handheld electronic device detects the user's sensing signal. Or connect to the cloud server of the handheld electronic device to calculate the user's blood sugar level.

On the whole, the overall structure of the non-invasive cloud blood glucose measurement system of the present invention is very simple, and it does not need to configure other devices or wires. It is very convenient and practical. It not only assists the user to measure blood sugar quickly and at any time, but also avoids the risk of bacterial infection by puncturing the finger too frequently to take out blood, and can monitor blood sugar for a long time.

1: Non-invasive blood glucose sensing device

10: Shell

20: Input electrode unit

21: The first input electrode

22: The second input electrode

23: The third input electrode

24: Fourth input electrode

30: Control unit

40: Output electrode unit

41: The first output electrode

42: The second output electrode

50: Wireless transmission unit

60: battery unit

BT: battery

D: Display screen

M: Handheld electronic device

N: wireless network

S: cloud server

S1: External excitation signal

ST: excitation signal

SS: sensing signal

SA: Sensing input signal

The first figure shows a schematic diagram of a non-invasive cloud blood glucose measurement system according to a first embodiment of the present invention.

The second figure shows a schematic diagram of an exemplary example of the input electrode unit and the output electrode unit in the non-invasive cloud blood glucose measurement system according to the first embodiment of the present invention.

Figure 3 shows another schematic diagram of an exemplary example of the input electrode unit and the output electrode unit in the non-invasive cloud blood glucose measurement system according to the first embodiment of the present invention.

FIG. 4 shows a schematic diagram of a non-invasive cloud blood glucose measurement system according to a second embodiment of the present invention.

The embodiments of the present invention will be described in more detail below with reference to the drawings and component symbols, so that those skilled in the art can implement them after studying the description.

Please refer to the first figure, which is a schematic diagram of the non-invasive cloud blood glucose measurement system according to the first embodiment of the present invention. As shown in the first figure, the non-invasive cloud blood glucose measurement system according to the first embodiment of the present invention includes a non-invasive blood glucose sensing device 1, a handheld electronic device M, and a cloud server S for performing cloud blood glucose measurement operations , wherein the non-invasive blood glucose sensing device 1 has a wireless communication function, and generates an excitation signal ST for the user to contact. In addition, the excitation signal ST is a square wave signal, and the frequency of the square wave signal is between 100 and 500 Hz. In particular, the handheld electronic device M has a display screen D, which is connected to the non-invasive blood glucose sensing device 1 in a non-contact manner by executing an application program (APP), so as to perform wireless communication, and display an operation screen on the display screen D, as the operating interface. In addition, the cloud server S is located at the remote end of the handheld electronic device M, and is connected to the handheld electronic device M through the wireless network N.

For example, the above-mentioned handheld electronic device M may include at least one of a smart phone and a tablet computer, and the non-contact method may include Bluetooth protocol, wireless fidelity (Wi-Fi) protocol, proximity At least one of the Near Field Communication (NFC) protocol and Zigbee, and the wireless network may include a wireless local area network, a third-generation (3G) mobile communication network, a fourth-generation (4G) ) mobile communication network, at least one of the fifth generation (5G) mobile communication network.

Specifically, the above cloud blood glucose measurement operation includes the following steps executed in sequence.

First, the non-invasive blood glucose sensing device 1 waits for a preset waiting time, such as 0.6-1.2 seconds, when the user touches, and then senses the sensing signal SS according to the excitation signal ST, and transmits the sensing signal SS To the handheld electronic device M, wherein the sensing signal SS corresponds to the excitation signal ST. The principle is that the surface of the user's body has surface electrical signals, which are mainly generated by the biochemical reaction of the skin tissue, the blood flow of the microvessels, or the pulsatile conduction signal of the nerve fibers, and the skin itself has the function of a capacitor, so the user touches it. When the outer surface of the non-invasive blood glucose sensing device 1 is excited by the excitation signal ST Next, the sensing signal SS corresponding to the excitation signal ST is induced. Furthermore, the sensing signal SS can represent the electrical properties of different tissues in the body, especially different physiological components or substances in the flowing blood, such as blood sugar, uric acid, antibodies, and blood cells. Therefore, the present invention specifically selects the frequency of the excitation signal ST to be between 100 Hz and 500 Hz, so as to highlight the specific response of the sensing signal SS to blood sugar.

Then, the handheld electronic device M receives and converts the sensing signal SS to generate a blood glucose sensing signal, and transmits the blood glucose sensing signal to the cloud server S. Afterwards, the cloud server S receives and utilizes the blood glucose sensing signal to perform blood glucose calculation processing to generate and transmit blood glucose information, wherein the blood glucose information includes the blood glucose value of the user. Finally, the handheld electronic device M receives the blood glucose information, and displays the blood glucose value on the operation screen of the display screen D through the application program for the user's reference.

In short, in actual use, the user uses the non-invasive blood glucose sensing device 1 and the application program of the handheld electronic device M to view the displayed blood glucose value through the display screen D in real time, so it is very convenient.

More specifically, the non-invasive blood glucose sensing device 1 includes a housing 10 , an input electrode unit 20 , a control unit 30 , an output electrode unit 40 , a wireless transmission unit 50 and a battery unit 60 , wherein the housing 10 has electrical insulation properties and waterproof function, and has an accommodating space, and the control unit 30, the wireless transmission unit 50 and the battery unit 60 are in the accommodating space, and the input electrode unit 20 and the output electrode unit 40 are arranged on the outer surface of the casing 10 to For user contact, such as the outer surface of the front, the input electrode unit 20 and the output electrode unit 40 are not connected or contacted with each other, and the battery unit 60 provides power to the control unit 30 and the wireless transmission unit 50 to operate. In addition, the battery unit 60 may include at least one battery BT.

Further, the input electrode unit 20 and the output electrode unit 40 are electrically connected to the control unit 30 and are made of conductive material and have a sheet shape. In addition, the input electrode unit 20 senses and transmits the sensing input signal SA to the control unit 30 after the user touches and waits for the waiting time, and the control unit The element 30 generates and outputs the sensing signal SS after filtering, amplifying and converting. Furthermore, the wireless transmission unit 50 is electrically connected to the control unit 30 for receiving and transmitting the sensing signal SS to the handheld electronic device M. As shown in FIG. It should be noted that the sensing signal SS generated by the control unit 30 is essentially a digital signal, that is, the control unit 30 performs an analog to digital conversion (ADC) process. For example, 0V is regarded as 0, and 3.3V of the power supply voltage is taken as the maximum value, such as 4095 of a 12-bit ADC, because it is a common practice in the general conventional technology, so it will not be described in detail below.

In addition, the control unit 30 generates and transmits the excitation signal ST in an automatic manner or a passive manner, and the automatic manner means that the control unit 30 continuously generates the excitation signal ST without other control, and the passive manner is when the control unit 30 receives external After the excitation signal S1, the external excitation signal S1 is generated by the handheld electronic device M and transmitted to the control unit 30 through the wireless transmission unit 50, or the external excitation signal S1 is generated by the cloud server S and transmitted through the handheld electronic device M. to the wireless transmission unit 50 , and further to the control unit 30 . The control unit 30 transmits the excitation signal ST to the output electrode unit 40 for the user to contact, and then the above-mentioned sensing input signal SA is induced by the input electrode unit 20 .

For example, the input electrode unit 20 and the output electrode unit 40 can be configured to be located in a predetermined sensing area as shown in the second figure, in particular, the area of the sensing area is specially designed to It is smaller than the area of the front of the finger. Here, the front of the finger refers to the surface with a fingerprint in a certain finger, and the finger may include one of the thumb, the index finger, the middle finger, the ring finger and the little finger. In particular, the input electrode unit 20 and the output electrode unit 40 include at least one pattern, such as a Tai Chi pattern, a triangular pattern, a rectangular pattern, or a half-moon pattern, but the exemplary example of the second figure shows the input electrode unit 20 and the output electrode unit. 40 includes a single Tai Chi pattern, a single triangular pattern, or a single rectangular pattern, so as to facilitate the description of the features of the present invention.

Furthermore, the blood sugar calculation processing performed by the input electrode unit 20 and the output electrode unit 40 of the second figure includes the following steps performed in order.

First, the sensing signal SS is sampled, and then the arithmetic average is performed on every eight to every twenty sensing signals SS, so as to calculate the average signal, and compare the average signal and the noise threshold until the average signal is not greater than the noise Up to the threshold, the average signal is regarded as a valid sensing signal, and the noise threshold can be a real number between 300 and 500. Here, the average signal greater than the noise threshold is regarded as an invalid signal and discarded, and only the average signal not greater than the noise threshold is selected, which is different from the general noise that is smaller than the valid signal. The sensing signal SS is generated after the user touches, for example, the input electrode unit 20 and the output electrode unit 40 are simultaneously contacted by pressing with a finger. Therefore, when the sensing signal SS is disturbed by the external environment, the sensing signal SS will be greatly increased to form a maintenance A period of spikes in the signal causes the average signal to be too large and distorted to represent the real signal corresponding to the blood sugar level.

Then, the valid sensing signal is regarded as a finger signal.

Next, use the finger signal to calculate the finger feedback signal, which is expressed as A1_ratio, A1_ratio=para_1* A1_m_Ave+para_2, where Para_1 is the first parameter, Para_2 is the second parameter, and the first parameter is a real number from 0.055 to 0.065, and the second The parameter is a real number from 25.31 to 25.51. In addition, A1_m_ave is the average value of A1_m, and A1_m is the remaining A1_ave that is not greater than 600 to 1500 in all A1_ave, so as to be a stable feedback signal outside the extreme value range, especially, A1_ave is The arithmetic mean is calculated once every 10 finger signals, and the arithmetic mean is calculated 100 times in total.

Finally, the finger feedback signal is used to calculate the blood sugar level, and the blood sugar level is included in the blood sugar information, and the application program of the handheld electronic device M provides fasting mode, after-meal mode, normal mode through the operation screen displayed on the display D Mode, Pre-Diabetes Mode, and Diabetic Mode are available for selection, where the blood glucose value is expressed as GLU, GLU=para_3*(((para_4-A1_ratio)/Para_6)- para_5), and the prediabetes mode is regarded as the risk group mode, and Para_3 is the third parameter, Para_4 is the fourth parameter, Para_5 is the fifth parameter, and Para_6 is the sixth parameter. Preferably, the third parameter is in the normal mode. is 2.8~3.9, a real number of 2.86~5.58 in the risk group mode, and a real number of 4.68~19.5 in the diabetes mode, and the fourth parameter is a real number of 60~70 in the fasting mode, and in the postprandial mode. is a real number from 71 to 80. In addition, the fifth parameter is a real number from 0.03 to 0.06, and the sixth parameter is a real number from 10.211 to 10.519. In particular, the above calculation formula of blood sugar value is based on big data, and is generated after statistical and regression analysis. On the whole, there is a linear correlation between blood sugar value and A1_ratio, especially after the actual comparison, the calculated blood sugar value With up to 94% accuracy.

Or, as another schematic diagram shown in FIG. 3, the input electrode unit 20 includes a first input electrode 21, a second input electrode 22, a third input electrode 23 and a fourth input electrode 24, and the output electrode unit 40 includes The first output electrode 41 and the second output electrode 42 . Further, the first output electrode 41 has a hollow ring shape, and the second output electrode 42 has a specific pattern, such as a Tai Chi pattern, a triangular pattern, a rectangular pattern or a half-moon pattern, and is located within the hollow ring shape of the first output electrode 41 . In addition, the first input electrode 21 has a hollow ring shape, the second input electrode 22, the third input electrode 23 and the fourth input electrode 24 have a specific pattern, such as a Tai Chi pattern, a triangular pattern, a rectangular pattern or a half-moon pattern, and The second input electrode 22 and the third input electrode 23 are located in the hollow ring shape of the first input electrode 21, and the first input electrode 21, the second input electrode 22 and the third input electrode 23 are not in contact with each other, especially, The fourth input electrode 24 is located in the hollow ring shape of the first output electrode 41 , and the fourth input electrode 24 , the first output electrode 41 and the second output electrode 42 are not in contact with each other.

Furthermore, the size of the hollow ring shape of the first output electrode 41 and the size of the hollow ring shape of the first input electrode 21 are equal to or larger than the contact area of the user's finger touching the input electrode unit 20 or the output electrode unit 40 .

Furthermore, the blood glucose calculation process using the third figure includes the following steps in order.

First, the sensing signal SS is sampled, and then the arithmetic average is performed on every eight to every twenty sensing signals SS, so as to calculate the average signal, and compare the average signal and the noise threshold until the average signal is not greater than the noise Up to the threshold, the average signal is regarded as a valid sensing signal, and the noise threshold can be a real number between 300 and 500.

Then, the effective sensing signal is divided into a first finger signal and a second finger signal, wherein the first finger signal comes from the first input electrode 21, the second input electrode 22 and the third input that are in contact with the user's first finger electrode 23, and the second finger signal comes from the first output electrode 41, the second output electrode 42 and the fourth input electrode 24 that are in contact with the user's second finger. Here, the first finger may be the thumb or index finger of the user's right hand, and the second finger may be the thumb or index finger of the user's left hand, or the first finger may be the thumb or index finger of the left hand, and the second finger may be the left hand thumb or index finger.

Next, use the first finger signal to calculate the first finger feedback signal, wherein the first finger feedback signal is A1_ratio, which is expressed as: A1_ratio=P1*A1_m_ave+P2, P1 is a first parameter, P2 is a second parameter, The first parameter is a real number from 0.05 to 0.08, the second parameter is a real number from 21.05 to 35.34, A1_m_ave is the average value of A1_m, and A1_m is the remaining A1_ave that is not greater than 600 to 1500 among all A1_aves, which are considered to be outside the extreme value range. For the stable feedback signal, A1_ave is the arithmetic mean calculated once every 10 consecutive first finger signals, and the arithmetic mean is calculated 100 times in total.

Then, use the second finger signal to calculate the second finger feedback signal, and the second finger feedback signal is represented as A2_m_ave, where A2_m_ave is the average value of A2_m, A2_m is the remaining A2_ave that is not greater than 900~1800 in all A2_aves, as It is a stable feedback signal outside the extreme value range. A2_ave is the arithmetic average calculated once every 10 consecutive second finger signals, and the arithmetic average is calculated 100 times in total.

Finally, using the feedback signal of the first finger and the feedback signal of the second finger to calculate the required blood glucose value, and include the blood glucose value in the blood glucose information. In particular, the non-invasive blood glucose sensing device 1 provides operation modes including fasting mode, post-prandial mode, normal mode, pre-diabetic mode and diabetic mode for selection, and the pre-diabetic mode is regarded as a risk group mode, such as Use the operation screen of display D. Further, the blood glucose value is expressed as GLU, GLU=P3*(A2_m_ave/P4)-P5)*(((P6-A1_ratio)/10.238)-P5)*P7, where P3 is the third parameter and P4 is the fourth parameter , P5 is the fifth parameter, P6 is the sixth parameter, P7 is the seventh parameter, and the third parameter is a real number of 0.8~1 in normal mode, 1.1~1.5 in risk group mode, and in diabetes mode. The real number of 1.8~5.0, the fourth parameter is the real number of 210~220 in fasting mode, and the real number of 200~210 in the after meal mode, the fifth parameter is the real number of 0.03~0.06, the sixth parameter is the real number of 0.03~0.06 in fasting mode It is a real number of 60~70, and is a real number of 71~80 in the after-meal mode, and the seventh parameter is a percentage of 3%~15%. Similarly, the above formula for calculating the blood sugar level is based on big data, and is generated after statistical and regression analysis.

Further referring to the fourth figure, a schematic diagram of the non-invasive cloud blood glucose measurement system according to the second embodiment of the present invention. As shown in FIG. 4 , the non-invasive cloud blood glucose measurement system according to the second embodiment of the present invention includes a non-invasive blood glucose sensing device 1 and a handheld electronic device M for performing cloud blood glucose measurement operations.

It should be noted that the non-invasive cloud blood glucose measurement system of the second embodiment is essentially similar to the non-invasive cloud blood glucose measurement system of the above-mentioned first embodiment, the main difference is that the second embodiment does not include the first The cloud server S of the embodiment, however, the non-invasive blood glucose sensing device 1 is identical to the first embodiment without any difference, and the operation characteristics of the handheld electronic device M further include the operations performed by the cloud server S The steps are different from those of the first embodiment, so the cloud-based blood glucose measurement operation of the second embodiment is different from that of the first embodiment. Therefore, the non-invasive blood glucose sensing device 1 will not be repeated in the following, but only the handheld electronic device M will be described. operation content.

Specifically, the handheld electronic device M is still connected to the non-invasive blood glucose sensing device 1 in a non-contact manner by executing an application program for wireless communication, and displays an operation screen on the display screen D as an operation interface, However, the application program of the handheld electronic device M also replaces the operation content of the cloud server S. For example, the handheld electronic device M can directly generate and transmit the external excitation signal S1 to the non-invasive blood glucose sensing device 1, and the application program can also be used. Generate blood sugar information.

Further, the cloud blood glucose measurement operation of the second embodiment includes the following steps in sequence.

First, the non-invasive blood glucose sensing device 1 waits for a preset waiting time when the user touches, and then senses the sensing signal SS according to the excitation signal ST, and transmits the sensing signal SS to the handheld electronic device M, Therefore, the sensing signal SS corresponds to the excitation signal ST.

Next, the handheld electronic device M uses the application program to convert the sensing signal SS to generate a blood glucose sensing signal. After that, the application program uses the blood glucose sensing signal to perform blood glucose calculation processing, thereby generating blood glucose information, wherein the blood glucose information includes the user's blood glucose level. . Finally, the handheld electronic device M displays the blood glucose level on the operation screen of the display screen D via the application program for the user's reference.

Compared with the first embodiment, the handheld electronic device M of the second embodiment uses an application program to generate an external excitation signal S1, and also performs a blood sugar calculation process to generate and display the blood sugar information including the user's blood sugar level, so the overall structure is Above, the non-invasive cloud blood glucose measurement system of the second embodiment is more concise and has industrial applicability, especially, only the communication between the handheld electronic device M and the non-invasive blood glucose sensing device 1 can be achieved. It needs functions, such as short-distance communication, and thus avoids the influence of poor base station signals, such as in relatively remote areas or relatively closed indoor environments or places.

To sum up, the main feature of the present invention is that the handheld electronic device is used to connect the non-invasive blood glucose sensing device and the cloud server, and the non-invasive blood glucose sensing device senses the user's sensing information The number is then sent to the cloud server through the handheld electronic device to calculate the blood sugar level, and finally the information including the blood sugar level is displayed on the display screen of the handheld electronic device for the user's reference, so it is very convenient to use. In particular, users can monitor changes in blood sugar at any time by contact, and can obtain information on blood sugar levels immediately without piercing the skin to collect blood, thus avoiding bacterial infection and greatly improving the safety of blood sugar measurement.

In addition, another feature of the present invention is that the non-invasive blood glucose sensing device only needs to be matched with a handheld electronic device without connecting to a cloud server, so that the cloud blood glucose measurement operation can be performed to obtain the information of the blood glucose value. Therefore, the user can As long as you carry a non-invasive blood glucose sensing device and a handheld electronic device with you, especially, the generation of external excitation signals and the calculation of blood glucose values are all completed by the application program, which is very convenient and economical in the follow-up maintenance, because it can be updated at any time. App to improve the accuracy of blood glucose measurement.

The above descriptions are only used to explain the preferred embodiments of the present invention, and are not intended to limit the present invention in any form. Therefore, any modification or change of the present invention should be made within the same spirit of the invention. , all should still be included in the scope of the intended protection of the present invention.

1 Non-invasive blood glucose sensing device 10 shells 20 Input Electrode Units 30 control unit 40 output electrode units 50 wireless transmission units 60 battery cells BT battery D display M Handheld Electronic Device wireless network S cloud server S1 external excitation signal ST excitation signal SS sensing signal SA sensing input signal

Claims (10)

A non-invasive cloud blood glucose measurement system is used to perform a cloud blood glucose measurement operation, comprising: a non-invasive blood glucose sensing device with wireless communication function and generating an excitation signal for a user to contact, the The excitation signal is a square wave signal, and a frequency of the square wave signal is between 100 and 500 Hz; a handheld electronic device has a display screen, which is connected to a non-contact way by executing an application program (APP) The non-invasive blood glucose sensing device is used for wireless communication, and an operation screen is displayed on the display screen as an operation interface; and a cloud server is located at the remote end of the handheld electronic device and is connected via a wireless The network is connected to the handheld electronic device, wherein the cloud blood glucose measurement operation includes: when the non-invasive blood glucose sensing device is in contact with the user, first wait for a preset waiting time, and then sense according to the excitation signal. a sensing signal, and transmits the sensing signal to the handheld electronic device, the sensing signal is corresponding to the excitation signal; the handheld electronic device receives and converts the sensing signal to generate and transmit a blood glucose sensing signal to the a cloud server; the cloud server receives and utilizes the blood glucose sensing signal to perform a blood glucose calculation process to generate and transmit blood glucose information, the blood glucose information includes a blood glucose value of the user; and the handheld electronic device receives the blood glucose information, and display the blood glucose level on the operation screen of the display screen through the application program. The non-invasive cloud blood glucose measurement system of claim 1, wherein the handheld electronic device includes at least one of a smart phone and a tablet computer, and the non-contact method includes a Bluetooth protocol, a wireless hotspot (wireless fidelity, Wi-Fi) protocol, short-range wireless communication At least one of the Near Field Communication (NFC) protocol and Zigbee, the wireless network includes a wireless local area network, a third-generation (3G) mobile communication network, a fourth-generation (4G) ) mobile communication network and at least one of a fifth generation (5G) mobile communication network, the waiting time is 0.6 to 1.2 seconds. The non-invasive cloud blood glucose measurement system according to claim 1, wherein the non-invasive blood glucose sensing device comprises: a casing with electrical insulation and waterproof functions, and an accommodating space; an input electrode unit, It is located on the outer surface of the casing, is made of conductive material, and has a sheet shape for the user to contact, and only after the user contacts and waits for the waiting time, a sensing input is sensed and transmitted signal; a control unit, which is accommodated in the accommodating space and is electrically connected to the input electrode unit for receiving the sensing input signal, and generating and outputting the sensing signal after filtering, amplifying and converting, and The excitation signal is generated and transmitted in an automatic manner or a passive manner; an output electrode unit, which is electrically connected to the control unit, is made of conductive material and has a sheet shape, and is located on the outer surface of the casing, and Not connected or in contact with the input electrode unit, and receives the excitation signal for the user to contact; a wireless transmission unit is accommodated in the accommodating space and is electrically connected to the control unit for receiving and transmitting The sensing signal is sent to the handheld electronic device; and a battery unit is accommodated in the accommodating space and includes at least one battery for providing power to the control unit and the wireless transmission unit to operate, and the passive manner is It is performed by the control unit receiving an external excitation signal, the external excitation signal is generated by the handheld electronic device and transmitted to the control unit through the wireless transmission unit, or the external excitation signal is generated by the cloud server and sent to the control unit via the wireless transmission unit. The handheld electronic device is transmitted to the wireless transmission unit, and further transmitted to the control unit. The non-invasive cloud blood glucose measurement system according to claim 3, wherein the output electrode unit and the input electrode unit are configured to be located in a sensing area, and an area of the sensing area is smaller than an area on the front of a finger area, the front of the finger refers to a surface with a fingerprint in a finger, the finger includes one of a thumb, a forefinger, a middle finger, a ring finger and a little finger, the output electrode unit and the input electrode unit are composed of At least one pattern, the blood glucose calculation process includes: sampling the sensing signal; arithmetically averaging every eight to every twenty sensing signals to calculate an average signal, and comparing the average signal and a noise threshold , until the average signal is not greater than the noise threshold, then the average signal is a valid sensing signal, and the noise threshold is a real number between 300 and 500; the valid sensing signal is regarded as a Finger signal; use the finger signal to calculate a finger feedback signal, the finger feedback signal is A1_ratio, A1_ratio=para_1* A1_m_Ave+para_2, Para_1 is a first parameter, Para_2 is a second parameter, and the first parameter is 0.055~ A real number of 0.065, the second parameter is a real number of 25.31~25.51, A1_m_ave is an average value of A1_m, A1_m is the remaining A1_ave that is not greater than 600~1500 among all A1_aves, which is regarded as a stable feedback outside an extreme value range The signal, A1_ave is an arithmetic mean calculated once every 10 consecutive finger signals, and the arithmetic mean is calculated 100 times in total; and the finger feedback signal is used to calculate the blood glucose value, and the blood glucose value is included in the In the blood glucose information, and the application program provides an operation mode including a fasting mode, a post-meal mode, a normal mode, a pre-diabetic mode and a diabetes mode for selection by the operation screen displayed on the display screen , and the prediabetes model is regarded as a risk group model, the blood glucose value is expressed as GLU, GLU=para_3*(((para_4-A1_ratio)/Para_6)-para_5), Para_3 is a third parameter, Para_4 is a fourth parameter, Para_5 is a fifth parameter, and Para_6 is a sixth parameter. The third parameter is 2.8~3.9 in the normal mode and 2.86 in the dangerous group mode A real number of ~5.58, and a real number of 4.68 to 19.5 in the diabetes mode, the fourth parameter is a real number of 60 to 70 in the fasting mode, and a real number of 71 to 80 in the postprandial mode, the fourth parameter is a real number of 60 to 70 in the fasting mode. The fifth parameter is a real number from 0.03 to 0.06, and the sixth parameter is a real number from 10.211 to 10.519. The non-invasive cloud blood glucose measurement system according to claim 3, wherein the output electrode unit comprises a first output electrode and a second output electrode, the first output electrode has a hollow ring shape, and the second output electrode The electrode has a pattern and is located in the hollow ring shape of the first output electrode, the input electrode unit includes a first input electrode, a second input electrode, a third input electrode and a fourth input electrode, the first input electrode The input electrode has a hollow ring shape, and each of the second input electrode, the third input electrode and the fourth input electrode has a pattern. The second input electrode and the third input electrode are located on the first input electrode. inside the hollow ring shape, and the first input electrode, the second input electrode and the third input electrode are not in contact with each other, the fourth input electrode is located in the hollow ring shape of the first output electrode, the fourth input electrode The input electrode, the first output electrode and the second output electrode are not in contact with each other, and a size of the hollow ring shape of the first output electrode and a size of the hollow ring shape of the first input electrode are equal to or is larger than a contact area where a finger of the user contacts the input electrode unit or the output electrode unit, the blood glucose calculation processing includes: sampling the sensing signal; performing arithmetic on every eight to every twenty sensing signals Average to calculate an average signal, and compare the average signal with a noise threshold until the average signal is not greater than the noise threshold, then the average signal is an effective sensing signal, and the noise threshold is A real number between 300 and 500; The effective sensing signal is divided into a first finger signal and a second finger signal, the first finger signal is from the first input electrode, the second input electrode and the first finger in contact with a first finger of the user The third input electrode, and the second finger signal comes from the first output electrode, the second output electrode and the fourth input electrode in contact with a second finger of the user, the first finger being the user A thumb or index finger of a right hand and the second finger is a thumb or index finger of one of the user's left hands, or the first finger is the thumb or index finger of the left hand and the second finger is the The thumb or the index finger of the left hand; use the first finger signal to calculate a first finger feedback signal, the first finger feedback signal is A1_ratio, A1_ratio=P1*A1_m_ave+P2, P1 is a first parameter, P2 is a The second parameter, the first parameter is a real number from 0.05 to 0.08, the second parameter is a real number from 21.05 to 35.34, A1_m_ave is an average value of A1_m, and A1_m is the remaining A1_ave that is not greater than 600 to 1500 among all A1_aves. is a stable feedback signal outside an extreme value range, A1_ave is an arithmetic mean calculated once every 10 consecutive first finger signals, and the arithmetic mean is calculated 100 times in total; using the second finger signal to Calculate a second finger feedback signal, the second finger feedback signal is A2_m_ave, A2_m_ave is an average value of A2_m, A2_m is the remaining A2_ave of all A2_aves not greater than 900~1800, and regarded as a value outside an extreme value range The stable feedback signal, A2_ave is an arithmetic mean value calculated once every 10 consecutive finger signals of the second finger, and the arithmetic mean value is calculated 100 times in total; and the feedback signal of the first finger and the feedback signal of the second finger are used to obtain The blood glucose level is calculated and included in the blood glucose information, and the non-invasive blood glucose sensing device provides a fasting mode, a postprandial mode, a normal mode, a pre-diabetic mode, and a diabetic mode The operation mode is for selection, and the pre-diabetic mode is regarded as a risk group mode, and the blood glucose value is expressed as GLU, GLU=P3*(A2_m_ave/P4)-P5)*(((P6-A1_ratio)/10.238) -P5)*P7, P3 is a third parameter, P4 is a fourth parameter, P5 is a fifth parameter, P6 is a sixth parameter, P7 is a seventh parameter, The third parameter is a real number of 0.8-1 in the normal mode, a real number of 1.1-1.5 in the risk group mode, and a real number of 1.8-5.0 in the diabetes mode, and the fourth parameter in the fasting mode is The real number of 210~220, and the real number of 200~210 in the after-meal mode, the fifth parameter is the real number of 0.03~0.06, the sixth parameter is the real number of 60~70 in the fasting mode, and in the In the after-meal mode, it is a real number of 71~80, and the seventh parameter is a percentage of 3%~15%. A non-invasive cloud blood glucose measurement system is used to perform a cloud blood glucose measurement operation, comprising: a non-invasive blood glucose sensing device with wireless communication function and generating an excitation signal for a user to contact, the The excitation signal is a square wave signal, and a frequency of the square wave signal is between 100 and 500 Hz; and a handheld electronic device has a display screen, which is connected in a non-contact manner by executing an application program (APP) to the non-invasive blood glucose sensing device for wireless communication, and displaying an operation screen on the display screen as an operation interface, wherein the cloud blood glucose measurement operation includes: the non-invasive blood glucose sensing device is in the When the user touches, wait for a preset waiting time, and then sense a sensing signal according to the excitation signal, and transmit the sensing signal to the handheld electronic device, and the sensing signal corresponds to the excitation signal; the The handheld electronic device uses the application program to convert the sensing signal to generate a blood glucose sensing signal; the application program uses the blood glucose sensing signal to perform a blood glucose calculation process to generate a blood glucose information, and the blood glucose information includes a blood glucose information of the user. blood sugar level; and the handheld electronic device displays the blood sugar level on the operation screen of the display screen via the application program. The non-invasive cloud blood glucose measurement system as claimed in claim 6, wherein the handheld electronic device comprises at least one of a smart phone and a tablet computer, and the non-contact method comprises a At least one of Bluetooth (Bluetooth) protocol, wireless hotspot (wireless fidelity, Wi-Fi) protocol, near field communication (Near Field Communication, NFC) protocol, Zigbee (Zigbee), the waiting time is 0.6~1.2 second. The non-invasive cloud blood glucose measurement system according to claim 6, wherein the non-invasive blood glucose sensing device comprises: a casing with electrical insulation and waterproof functions, and an accommodating space; an input electrode unit, It is located on the outer surface of the casing, is made of conductive material, and has a sheet shape for the user to contact, and only after the user contacts and waits for the waiting time, a sensing input is sensed and transmitted Signal; a control unit is electrically connected to the input electrode unit for receiving the sensing input signal, and after filtering, amplifying, and converting, generating and outputting the sensing signal, and in an automatic or passive manner. Generate and transmit the excitation signal; an output electrode unit, which is electrically connected to the control unit, is made of conductive material, has a sheet shape, is located on the outer surface of the housing, and is not interconnected with the input electrode unit or contact and receive the excitation signal for the user to contact; a wireless transmission unit is accommodated in the accommodating space and electrically connected to the control unit for receiving and transmitting the sensing signal to the handheld electronic device ; and a battery unit, which is accommodated in the accommodating space and includes at least one battery for providing power to the control unit and the wireless transmission unit to operate, and the passive mode is that the control unit receives an external excitation signal To proceed, the external excitation signal is generated by the handheld electronic device and transmitted to the control unit via the wireless transmission unit. The non-invasive cloud blood glucose measurement system as claimed in claim 8, wherein the output electrode unit and the input electrode unit are configured to be located in a sensing area, and an area of the sensing area is smaller than an area on the front of a finger area, the front of the finger refers to a surface with a fingerprint in a finger, the finger includes one of a thumb, a forefinger, a middle finger, a ring finger and a little finger, the output electrode unit and the input electrode unit are composed of At least one pattern, the blood glucose calculation process includes: sampling the sensing signal; arithmetically averaging every eight to every twenty sensing signals to calculate an average signal, and comparing the average signal and a noise threshold , until the average signal is not greater than the noise threshold, then the average signal is a valid sensing signal, and the noise threshold is a real number between 300 and 500; the valid sensing signal is regarded as a Finger signal; use the finger signal to calculate a finger feedback signal, the finger feedback signal is A1_ratio, A1_ratio=para_1* A1_m_Ave+para_2, Para_1 is a first parameter, Para_2 is a second parameter, and the first parameter is 0.055~ A real number of 0.065, the second parameter is a real number of 25.31~25.51, A1_m_ave is an average value of A1_m, A1_m is the remaining A1_ave that is not greater than 600~1500 among all A1_aves, which is regarded as a stable feedback outside an extreme value range The signal, A1_ave is an arithmetic mean calculated once every 10 consecutive finger signals, and the arithmetic mean is calculated 100 times in total; and the finger feedback signal is used to calculate the blood glucose value, and the blood glucose value is included in the In the blood glucose information, and the application program provides an operation mode including a fasting mode, a post-meal mode, a normal mode, a pre-diabetic mode and a diabetes mode for selection by the operation screen displayed on the display screen , and the prediabetes model is regarded as a risk group model, the blood glucose value is expressed as GLU, GLU=para_3*(((para_4-A1_ratio)/Para_6)-para_5), Para_3 is a third parameter, Para_4 is a fourth parameter, Para_5 is a fifth parameter, and Para_6 is a sixth parameter. The third parameter is 2.8~3.9 in the normal mode and 2.86 in the dangerous group mode A real number of ~5.58, and a real number of 4.68 to 19.5 in the diabetes mode, the fourth parameter is a real number of 60 to 70 in the fasting mode, and a real number of 71 to 80 in the postprandial mode, the fourth parameter is a real number of 60 to 70 in the fasting mode. The fifth parameter is a real number from 0.03 to 0.06, and the sixth parameter is a real number from 10.211 to 10.519. The non-invasive cloud blood glucose measurement system as claimed in claim 8, wherein the output electrode unit comprises a first output electrode and a second output electrode, the first output electrode has a hollow ring shape, and the second output electrode The electrode has a pattern and is located in the hollow ring shape of the first output electrode, the input electrode unit includes a first input electrode, a second input electrode, a third input electrode and a fourth input electrode, the first input electrode The input electrode has a hollow ring shape, each of the second input electrode, the third input electrode and the fourth input electrode has a pattern, and the second input electrode and the third input electrode are located on the first input electrode inside the hollow ring shape, and the first input electrode, the second input electrode and the third input electrode are not in contact with each other, the fourth input electrode is located in the hollow ring shape of the first output electrode, the fourth input electrode The input electrode, the first output electrode and the second output electrode are not in contact with each other, and a size of the hollow ring shape of the first output electrode and a size of the hollow ring shape of the first input electrode are equal to or is larger than a contact area where a finger of the user contacts the input electrode unit or the output electrode unit, the blood glucose calculation processing includes: sampling the sensing signal; performing arithmetic on every eight to every twenty sensing signals Average to calculate an average signal, and compare the average signal with a noise threshold until the average signal is not greater than the noise threshold, then the average signal is an effective sensing signal, and the noise threshold is A real number between 300 and 500; The effective sensing signal is divided into a first finger signal and a second finger signal, the first finger signal is from the first input electrode, the second input electrode and the first finger in contact with a first finger of the user The third input electrode, and the second finger signal comes from the first output electrode, the second output electrode and the fourth input electrode in contact with a second finger of the user, the first finger being the user A thumb or index finger of a right hand and the second finger is a thumb or index finger of one of the user's left hands, or the first finger is the thumb or index finger of the left hand and the second finger is the The thumb or the index finger of the left hand; use the first finger signal to calculate a first finger feedback signal, the first finger feedback signal is A1_ratio, A1_ratio=P1*A1_m_ave+P2, P1 is a first parameter, P2 is a The second parameter, the first parameter is a real number from 0.05 to 0.08, the second parameter is a real number from 21.05 to 35.34, A1_m_ave is an average value of A1_m, and A1_m is the remaining A1_ave that is not greater than 600 to 1500 among all A1_aves. is a stable feedback signal outside an extreme value range, A1_ave is an arithmetic mean calculated once every 10 consecutive first finger signals, and the arithmetic mean is calculated 100 times in total; using the second finger signal to Calculate a second finger feedback signal, the second finger feedback signal is A2_m_ave, A2_m_ave is an average value of A2_m, A2_m is the remaining A2_ave of all A2_aves not greater than 900~1800, and regarded as a value outside an extreme value range The stable feedback signal, A2_ave is an arithmetic mean value calculated once every 10 consecutive finger signals of the second finger, and the arithmetic mean value is calculated 100 times in total; and the feedback signal of the first finger and the feedback signal of the second finger are used to obtain The blood glucose level is calculated and included in the blood glucose information, and the non-invasive blood glucose sensing device provides a fasting mode, a postprandial mode, a normal mode, a pre-diabetic mode, and a diabetic mode The operation mode is for selection, and the pre-diabetic mode is regarded as a risk group mode, and the blood glucose value is expressed as GLU, GLU=P3*(A2_m_ave/P4)-P5)*(((P6-A1_ratio)/10.238) -P5)*P7, P3 is a third parameter, P4 is a fourth parameter, P5 is a fifth parameter, P6 is a sixth parameter, P7 is a seventh parameter, The third parameter is a real number of 0.8-1 in the normal mode, a real number of 1.1-1.5 in the risk group mode, and a real number of 1.8-5.0 in the diabetes mode, and the fourth parameter in the fasting mode is The real number of 210~220, and the real number of 200~210 in the after-meal mode, the fifth parameter is the real number of 0.03~0.06, the sixth parameter is the real number of 60~70 in the fasting mode, and in the In the after-meal mode, it is a real number of 71~80, and the seventh parameter is a percentage of 3%~15%.

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