KR101747369B1 - System for preventing and managing metabolic disease - Google Patents

Abstract

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a metabolic disease prevention and management system, and a technical problem to be solved is to automatically measure a meal time and a meal time of a user by using a wrist band and to control blood glucose, obesity, Prevention and management.
For example, a wearable band which is tightly attached to a wearer's wrist, senses muscular deformation and movement of the wrist using at least one sensor, converts the sensed information into an electric signal and transmits the sensed information to the outside; A user application installed in a user's portable terminal for receiving and quantifying electrical signals from the wearable band and measuring and uploading a user's eating habits based on the quantified data; And a management server for performing summed scoring on the user's eating habits information uploaded from the user application and providing blood glucose management information to the user application based on the result of summed scoring .

Description

SYSTEM FOR PREVENTING AND MANAGING METABOLIC DISEASE [0002]

An embodiment of the present invention relates to a metabolic disease prevention management system.

Conventional healthcare applications can calculate the calorie intake by directly inputting the meal contents of the user, calculate the movement route and the movement speed by using GPS (global positioning system), and measure the calorie consumption based on this calculation I am taking.

This method is suitable for measuring the calorie intake, but it has a disadvantage in that it can not reflect changes in blood sugar when the intervals of morning, lunch, and dinner are irregular or the total time taken for eating is too short. Irregular meal intervals and fast food speeds can lead to unstable blood sugar levels, such as a rapid increase in blood sugar.

In the present study, we found that fasting and type 2 diabetes mellitus were the most common risk factors for diabetes mellitus. Radzeviciene L, Ostrauskas R 'and' Relationships between Eating Quickly and Weight Gain in Japanese University Students: A Longitudinal Study. Mayu Yamane '.

(1) 'Fast eating and the risk of type 2 diabetes mellitus': a case-control study. Radzeviciene L, Ostrauskas R. (Document 2) 'Relationship Between Eating Quickly and Weight Gain in Japanese University Students': A Longitudinal Study. Mayu Yamane.

Embodiments of the present invention provide a system that automatically measures a meal time and a meal time of a user using a wrist band and prevents and manages blood glucose control, obesity, and metabolic diseases based on the measurement.

A metabolic disease prevention management system according to an embodiment of the present invention is a system for preventing and managing metabolic diseases, which is closely attached to a wrist of a user, detects muscle deformation and movement of the wrist using at least one sensor, converts sensed information into electrical signals, A wearable band for sending out; A user application installed in a user's portable terminal for receiving and quantifying electrical signals from the wearable band and measuring and uploading a user's eating habits based on the quantified data; And a management server for performing summed scoring on the dietary information of the user uploaded from the user application and providing the blood glucose management information to the user application based on the result of the combined scoring.

In addition, the wearable band includes a wrist band to be worn on the user's wrist; A strain sensor installed on at least two of the upper and lower sides of the wrist when the wristband is worn by the user to detect muscle strain and stress in the wrist; A motion sensor installed between the deformation sensors for sensing rotation of the wrist and movement of the arm; A controller for converting data detected by the deformation sensor and the motion sensor into electrical signals; And a transmitter for transmitting the electrical signal converted through the controller to the user application.

In addition, the user application may use the electrical signals received from the wearable band to detect movement of the user's wrist, such as out-of-sight, in-motion, radial lateral movement, ulnar lateral movement, flexion, extension, .

In addition, the user application may include a user's start time, end time, and end time of a user's wrist in a combination of out-of-the-way, in-motion, radial lateral movement, ulnar lateral movement, Meal time, meal speed and meal interval can be measured separately.

In addition, the management server may accumulate the information on the meal start time, the meal end time, the meal time, the meal speed, and the meal interval of the user uploaded from the user application on the basis of the built-in database in advance, Based on the result, a message including at least one of recommended exercise information, recommended meal information, and recommended activity information for controlling blood sugar of the user can be transmitted to the user application.

The management server may transmit the emergency response message to a nearby medical institution based on the GPS position information of the portable terminal when the blood sugar value of the user is determined to be less than a predetermined value.

According to an embodiment of the present invention, a user can automatically measure a meal time and a meal time using a wrist band, and prevent and manage blood glucose control, obesity, and metabolic diseases based on the measurement.

1 is an overall configuration diagram of a metabolic disease prevention management system according to an embodiment of the present invention.
2 and 3 are views showing a sensor configuration of a wearable band according to an embodiment of the present invention.
FIG. 4 is a view illustrating six movements of the wrist during a meal according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating the overall operation of a metabolic disease prevention management system according to an embodiment of the present invention.

The terms used in this specification will be briefly described and the present invention will be described in detail.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. Also, in certain cases, there may be a term selected arbitrarily by the applicant, in which case the meaning thereof will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term, not on the name of a simple term, but on the entire contents of the present invention.

When an element is referred to as "including" an element throughout the specification, it is to be understood that the element may include other elements, without departing from the spirit or scope of the present invention. Also, the terms "part," " module, "and the like described in the specification mean units for processing at least one function or operation, which may be implemented in hardware or software or a combination of hardware and software .

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

FIG. 1 is an overall configuration diagram of a metabolic disease prevention management system according to an embodiment of the present invention, FIGS. 2 and 3 are views showing the sensor configuration of a wearable band according to an embodiment of the present invention, FIG. 5 is a diagram illustrating the overall operation of a metabolic disease prevention management system according to an embodiment of the present invention. Referring to FIG.

1 to 5, a metabolic disease prevention management system 1000 according to an embodiment of the present invention includes a wearable band 100, a user application 200, and a management server 300.

The wearable band 100 is adapted to be worn on the wearer's wrist. The wearable band 100 senses muscle strain and movement of the wrist using at least one sensor, converts the sensed information into an electrical signal, . 2 and 3, the wearable band 100 includes a wrist band 101, a coupling and length adjuster 102, a contact sensor 103, a sensor 110, a controller 120, A transmission unit 130 and a power supply unit 140.

The wristband 101 may be worn on the wrist of the user, and may be worn on the right hand when the user is a right-handed person, or on the left hand when the user is a left-handed person. The wrist band 101 is preferably made of a rubber material so that it can be closely attached to the user's wrist. The wrist band 101 is provided with adjusting means for adjusting the length of the wrist band 101 according to the thickness of the user's wrist, Fastening means may be formed together.

The coupling and length adjuster 102 allows the wristband 101 to be coupled to the user's wrist and to adjust the length of the wristband 101 so that the wristband 101 can be brought into close contact with the user's wrist.

The contact sensor 103 senses that the wristband 101 is completely worn by the user and the length adjusting unit 102 and transmits a wearing completion signal to the power supply unit 140. The contact sensor 103 is connected to the power supply unit 140 and is supplied with power so that the power supply unit 140 can supply power to the sensor unit 110, the control unit 120, and the transmission unit 130 do. The contact sensor 103 may cut off power supplied from the power supply unit 140 to the sensor unit 110, the control unit 120, and the transmission unit 130 when the wear completion signal is not output.

The sensor unit 110 may include a plurality of strain sensors 111a, 111b, 111c and 111d and motion sensors 112a, 112b and 112c. In the present embodiment, the first through fourth modified sensors 111a, 111b, 111c, and 111d and the first through third motion sensors 112a, 112b, and 112c are included to facilitate understanding of the invention.

The first to fourth sensors 111a, 111b, 111c, and 111d may be installed on upper and lower portions of the wrist when the wristband 101 is worn by the user as shown in FIG. For example, the first deformation sensor 111a is installed at the outer side of the wrist, the second deformation sensor 111b is installed at the inner side of the wrist, and the third deformation sensor 111c is located at the upper side of the wrist And the fourth deformable sensor 111d may be installed to be positioned below the wrist.

The first to fourth strain sensors 111a, 111b, 111c, and 111d disposed on the wrist band 101 can sense stress due to the deformation and movement of the muscles on both upper and lower portions of the wrist. For example, the first to fourth deformed sensors 111a, 111b, 111c and 111d are miniature pressure sensors (width x length: 2.5 mm x 2.5 mm, thickness: 0.8 mm) manufactured by St-microelectronics of France, Can be applied. In the present embodiment, the strain sensor is not limited to a specific product, but may include all sensors capable of detecting muscle strain and stress in the wrist.

The first to third motion sensors 112a, 112b and 112c are installed between the first to fourth deformation sensors 111a, 111b, 111c and 111d to detect movement in all directions with respect to the user's wrist and arm. have. In the present embodiment, the positions of the first to third motion sensors 112a, 112b and 112c are not limited, and the wrist band 101, which is not overlapped with the first to third motion sensors 112a, 112b and 112c, As shown in FIG. For example, the first motion sensor 112a may be an acceleration sensor, the second motion sensor 112b may be an acceleration sensor, and the second motion sensor 112b may be an acceleration sensor, The angular velocity sensor, and the third motion sensor 112c may be applied as a geomagnetic sensor.

Meanwhile, the installation position and the number of the deformation sensor and the motion sensor are not limited to the above-described example, but may be implemented in various numbers in various positions. As a strain sensor, it is possible to implement at least one as long as the wrist motion can be detected, but it is preferable that at least two wrists are used in order to accurately detect movement of the wrist in four directions. Of course, the more strain sensors, the more accurate the wrist motion detection will be.

The motion sensor may also be implemented in an appropriate number of positions in at least one or more positions. It is noted that the motion sensor is installed at a position where the sensor is not overlapped with the strain sensor, but it is not necessarily true that the motion sensor and the strain sensor may be integrated into one sensor.

The controller 120 converts sensing data sensed by the first through fourth deformable sensors 111a, 111b, 111c, and 111d and the first through third motion sensors 112a, 112b, and 112c into a predetermined electrical signal To the transmitter (130). The control unit 120 may include a micro control unit and may control the overall operation of the sensor and the power source of the wearable band 100.

The transmitter 130 wirelessly transmits an electrical signal transmitted from the controller 120 to the portable terminal 20 of the user. For example, the transmitter 130 may include a short range wireless communication module such as a Bluetooth low energy (BLE) module. Therefore, the transmitting unit 130 can provide the status and operation information of the sensor and the power source, which are connected to the portable terminal 20 through the BLE and controlled and managed through the controller 120, to the portable terminal 20, The control unit 120 can receive various signals such as basic setting information and power control information of the wearable band 100 from the control unit 20 and process it.

The power unit 140 may be connected to the sensor unit 110, the controller 120, and the transmitter 130 to provide power, and may perform a power management operation through the controller 120.

The power supply unit 140 can control power supply according to a signal output from the contact sensor 103. For example, when the wristband 101 is worn on the user's wrist by the coupling and length adjusting unit 102, the contact sensor 103 outputs a wearing completion signal to the power supply unit 140 as a contact sensing signal, The power supply unit 140 can start supplying power to the sensor unit 110, the control unit 120, and the transmission unit 130 according to the wearing completion signal received from the contact sensor 103. [ The power supply unit 140 may not supply power to the sensor unit 110, the control unit 120, and the transmission unit 130 when the wear completion signal is not received from the contact sensor 103, May be configured to supply power at all times.

The power supply unit 140 may be configured to supply power to the sensor unit 110, the control unit 120, and the transmission unit 130 at all times when the contact sensor 103 is omitted.

The user application 200 is installed in the portable terminal 20 of the user, receives and quantifies an electrical signal from the wearable band 100, and can measure and upload a user's eating habit based on the quantified data. Here, the portable terminal 20 may be a Personal Communication System (PCS), a Global System for Mobile communications (GSM), a Personal Digital Cellular (PDC), or the like, as well as a smart phone, a smart pad, ), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication) -2000, CDMA (Code Division Multiple Access) -2000, W-CDMA Broadband Internet terminals, and the like.

The user application 200 can distinguish electrical signals received from the wearable band 100 using a predetermined algorithm, and can count and quantify the number of times of reception. Here, the electrical signal can show different pattern characteristics depending on the strain, stress or movement of the muscles generated when the user rotates the wrist.

For example, as shown in Fig. 4, supination, pronation, radial deviation, ulnar deviation, flexion, and extension of the wrist, There are six movements of the wrist that occur at meals, such as extension movement, so that different electrical signals of different patterns can differentiate between what kind of movement and movement each wrist is doing.

The pronation and supination are the most important factors that can discriminate the eating operation from the wrist movement. The rotation motion of the wrist and the food are moved through the first to third motion sensors 112a, 112b and 112c An elbow flexion and extension may be detected.

In addition, radial deviation or ulnar deviation movements and flexion or extension movements can occur simultaneously with the rotation of the wrist at the moment of catching food and the moment the food enters the mouth And these operations can be detected through the first to fourth deformable sensors 111a, 111b, 111c and 111d.

On the other hand, the most common movement in the wrist fold during food intake is extension and ulnar deviation, flexion, radial deviation, and extension, And radial deviation movements are not likely to occur in the wrist during food intake. This is because the length of the radius bone is so long that the movement of the ulnar side of the ulnar side is uncomfortable. In addition, flexion and ulnar deviation are slightly uncomfortable but may occur.

As described above, the user application 200 receives electrical signals (sensing signals) from the first through fourth deformable sensors 111a, 111b, 111c, and 111d and the first through third motion sensors 112a, 112b, and 112c ) Can be used to determine the movement and movement of the wrist when eating.

For example, when the user is eating or using a spoon for eating, the pronation movement from the rotation reference point (neutral position) of the wrist and the ulnar deviation from the folded part of the wrist in the starting movement of the rice, And a slight extension movement occurs. In the complete operation of raising the wrist, the reference point of the wrist rotation is the ulnar deviation and the slight extension movement at supination and wrist folding reference points do. Herein, the reference point of the wrist rotation is a position where the rotation of the wrist, that is, the pronation and the supination, occurs. Since the motion can be distinguished based on the neutral position, I have put it.

More specifically, during the process of bringing the rice with a spoon and bringing it to the mouth, the elbow flexion is performed, and then a stronger wrist supination operation is performed. In addition, in the process of removing the spoon from the mouth after putting the rice into the mouth, pronation movement and extension extension of the elbow occur at the reference point of the wrist rotation.

Then, when the rice is returned to the spoon, the pronation occurs at the reference point of the elbow extension and the wrist rotation, and then the wrist performs a pronation operation for raising the rice. In addition, when the spoon is lowered, the pronation and extension of the wrist occur.

Table 1 below summarizes the specific actions of the wrist and arm when using a spoon.

When the user consumes food or when chopsticks are used at meal time, there are normal chopstick motion and abnormal chopstick motion. These two behaviors also correspond to the actions that are not used in everyday life other than the chopstick movement.

First, we explain the operation of the wrist and arm when using normal chopsticks.

When the food is held with chopsticks, the reference point of the wrist rotation is supine, and the reference point of the wrist fold is neutral or slightly extended.

In addition, in the process of bringing the chopsticks into the mouth, an elbow flexion occurs at the elbow portion, a supination occurs at the reference point of the wrist rotation just before the food is put into the mouth, Ulnar deviation will occur.

In addition, after the food is put into the mouth, the movement of pulling the chopsticks out of the mouth through the pronation movement occurs at the reference point of the wrist rotation, and elbow extension occurs in the process of elbow expansion. Thereafter, elbow extension is elongated in the action to take food again, and weak pronation occurs at the reference point of wrist rotation.

Table 2 below summarizes the specific actions of the wrist and arm during normal chopstick exercise.

Next, explain the operation of the wrist and arm when using abnormal chopsticks.

When food is caught, the wrist is in pronation, and at the reference point where the wrist is folded, a neutral or weak extension action occurs. In the process of bringing food into the mouth, the reference point of the wrist rotation changes from pronation to supination, and unla deviation and extension movements occur at the reference point where the wrist is folded. At this time, the elbow flexes (elbow flexion).

When food is put into the mouth, a strong supination occurs at the reference point of the wrist rotation, and a ulnar deviation and a weak extension movement occur at the reference point where the wrist is folded.

When the chopsticks are pulled out of the mouth, the pronation occurs at the reference point of the wrist rotation. When the chopstick is lowered, the elbow extension operation is performed to return to the original state at the elbow, Pronation occurs and a weak extension occurs at the folded part of the wrist or maintains a neutral posture.

Table 3 below summarizes the specific actions of the wrist and arm during abnormal chopstick exercise.

On the other hand, when drinking water or a drink, the reference point of the wrist rotation becomes neutral when the water cup or the beverage bottle is caught, and a weak extension occurs at the reference point where the wrist is folded.

The elbow flexion occurs when the water cup is brought into the mouth, and the pronation occurs at the reference point of the wrist rotation when drinking water or a drink.

Then, when the water cup or the beverage bottle is placed on the table, an elbow extension occurs.

Table 4 below summarizes the specific actions of the wrists and arms when drinking water.

The reference point of the wrist rotation and the reference point of the wrist fold shown in Table 4 are shown in Figs. 4 (a) and 4 (b), 4 (c) and 4 (d), respectively. The reference point of the wrist rotation shown in FIG. 4 (a) is a position where pronation and supination of the wrist are generated, and FIG. 4 (b), (c) The 'folding reference point' of the wrist is a position where flexion and extension of the wrist, radial deviation of the radial direction and ulnar deviation are generated, It is arbitrarily set to help understanding.

Since all of these operations are operations that do not occur in everyday life such as exercise or writing, they occur during food intake or during meals. Therefore, the first to fourth deformable sensors 111a, 111b, 111c, 111d, The user can repeatedly measure the movement and the motion of the user's wrists through the wrist 112a, 112b, and 112c to measure the user's start time, end time, meal time, meal speed and meal interval, can do.

The user application 200 senses the movement of the user's wrist in all directions of the user's wrist, such as out-of-home, in-motion, radial lateral movement, ulnar lateral movement, flexion and extension, The user can measure the start time of the meal, the end time of the meal, the time required for the meal, the speed of the meal, and the interval of the meal.

Meanwhile, the user application 200 can receive basic meal information such as a meal amount (including a moisture intake amount), a meal type, and a weight from a user, and receives various information such as a user's activity amount, exercise amount, .

The management server 300 may perform summing scoring on the uploaded user's eating habits information from the user application 200 and provide the blood glucose management information to the user application on the basis of the result of the combined scoring.

More specifically, the management server 300 obtains, from the user application 200, information about a meal start time, a meal end time, a meal time, a meal speed, and a meal interval of the user uploaded, Can be added and these can be added. For example, the time required for meals can be given as low as the standard time is shorter than the standard, and can be given as high or low when the time is close to normal time or longer. The meal rate is based on the normal speed, and the higher the standard, the lower the score, and the closer to the normal speed or slower, the higher the score can be given. The closer the meal interval is to the normal interval, the higher the score, and the irregular the lower the score.

The management server 300 may provide recommended exercise information, recommended meal information, recommended activity information, and the like to the user application 200 based on the result of the total score of the user's meal information.

The recommended exercise information may include various exercise programs suitable for the user. For example, the recommendation exercise for controlling blood glucose, the consumed calories per hour of the exercise, and the detailed guide information for the exercise can be provided according to the difference between the total score and the reference value. The closer to the reference value, the closer the blood glucose level of the user is to a normal value, and the farther away the blood glucose level is, the closer to the value of high blood glucose or hypoglycemia.

The recommended dietary information may include a recommended diet for breakfast, lunch, dinner, and information about an appropriate meal start time and meal interval, or a meal rate control program. Here, the meal start time and the meal interval information may inform the predetermined morning, lunch, and dinner time to observe the regular meal time and the meal interval, or may be informed through the alarm before the meal time.

The meal rate control program monitors the current meal rate through the wearable band 100 and the user application 200 when the user is currently eating and provides a warning message or a warning tone if the meal rate is exceeded, When the speed is maintained, it is indicated that it is normal speed, so that the user can adjust the speed of the meal by providing various services.

The recommended activity information may include various information regarding activity habits in daily life. For example, specific recommended activity information such as 1km of walking, climbing of the stairs of 5th floor can be provided, and various sensors installed in the portable terminal 20 can be used to check whether or not the recommended activities are performed well.

On the other hand, when the blood glucose level of the user is determined to be less than the preset value, that is, when it is determined that the blood glucose level is hypoglycemia, the management server 300 determines, based on the GPS position information of the mobile terminal 20, And transmits the emergency rescue message to the medical institution located in the vicinity of the hospital.

According to the embodiment of the present invention, it is possible to measure the eating habits such as the meal start time, the meal speed, and the meal interval by sensing the deformation, stress, and movement of the wrist muscle generated during eating through the wearable band, And the metabolic diseases such as diabetes and obesity can be prevented and managed by providing dietary habit and exercise information for controlling the blood glucose level of the user according to the analysis results.

As described above, the present invention is not limited to the above-described embodiment, but can be applied to the metabolic disease prevention management system according to the present invention, It will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention.

1000: metabolic disease prevention management system 100: wearable band
101: wrist band 102: engagement and length adjuster
103: contact sensor 110: sensor part
111a: first deformation sensor 111b: second deformation sensor
111c: Third deformation sensor 111d: Fourth deformation sensor
112a: first motion sensor 112b: second motion sensor
112c: third motion sensor 120:
130: transmitting unit 140:
200: user application 300: management server
20:

Claims (6)

A wearable band that is tightly attached to a user's wrist, detects a muscle strain and movement of the wrist using at least one sensor, converts the sensed information into an electrical signal, and transmits the electrical signal to the outside;
A user application installed in a user's portable terminal for receiving and quantifying electrical signals from the wearable band and measuring and uploading a user's eating habits based on the quantified data; And
And a management server that performs summing scoring on the dietary information of the user uploaded from the user application and provides the blood glucose management information to the user application on the basis of the result of summed scoring,
The wearable band comprises:
A strain sensor including a pressure sensor which is installed on both upper and lower sides of the wrist when the wrist band of the user is worn so as to detect a muscle strain of the wrist and a pressure according to a stress generated at the time of eating;
A motion sensor installed between the deformation sensors for detecting the rotation of the wrist and the movement of the arm caused by eating;
A controller for converting data detected by the deformation sensor and the motion sensor into electrical signals; And
And a transmitter for transmitting the electrical signal converted through the controller to the user application,
The deformation sensor includes a first deformation sensor installed to be positioned on the outer side of the wrist when the user wears the wristband, a second deformation sensor installed to be positioned on the inner side of the wrist, a third deformation sensor installed to be positioned on the upper side of the wrist, And a fourth deformable sensor provided so as to be positioned below the wrist,
The user application,
A motion of the user's wrist, a motion of the wrist, and an arm by using an electrical signal based on data sensed by the motion sensor among electrical signals received from the wearable band, The method of claim 1, further comprising the steps of: determining a radial lateral movement of the user's wrist, a lateral movement of the ulnar side, a flexion movement and an extension movement using the converted electrical signal based on the sensed pressure data, Determining an upper limb movement of the wrist by using the converted electrical signal, judging a limb movement of the wrist using the converted electrical signal based on the pressure data sensed by the second modification sensor, The extension operation of the wrist is performed using the converted electrical signal based on the pressure data sensed by the third modified sensor However, and it determines the winding operation of the wrist by using the fourth modification of the electrical signal conversion on the basis of the pressure data detected by a sensor,
The detailed operation of using the spoon, chopsticks and water cups according to the combination and order of the out-door exercise, the in-motion exercise, the radial side exercise, the ulna side exercise, the bending exercise, Metabolic disease prevention and management system.
delete delete delete The method according to claim 1,
The management server includes:
Information on a meal start time, a meal end time, a meal time, a meal speed, and a meal interval uploaded by the user application is summed based on a database constructed in advance, and based on the result of the summed scores, And transmits a message containing at least one of recommended exercise information, recommended meal information, and recommended activity information for adjustment to the user application.
6. The method of claim 5,
The management server includes:
And transmits the emergency structure message to a nearby medical institution based on the GPS position information of the portable terminal when the blood sugar value of the user is determined to be less than a predetermined value.

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