KR20240060132A - Personal healthcare analysis system for customized healthcare solution service - Google Patents

Abstract

The personal healthcare analysis system for customized healthcare solution services includes a body composition meter with multi-biometric information measurement function that measures at least one of heart rate, heart rate variation, blood pressure, oxygen saturation, stress level, and activity level, and an application. A portable terminal installed and displaying a plurality of health contents through interaction with the body composition measuring device based on measurement data transmitted from the body composition measuring device, collecting the user's measurement data from the portable terminal, and It is characterized by including a cloud server that generates health guide information using a prediction model set in advance.

Description

Personal healthcare analysis system for customized healthcare solution service {Personal healthcare analysis system for customized healthcare solution service}

The present invention relates to a customized body composition measuring device, and more specifically, to a personal healthcare analysis system for customized health care solution service using a body composition measuring device.

Body composition refers to the components that make up the human body. In other words, our human body is composed of major ingredients such as water, protein, fat, and minerals in a certain ratio. This composition ratio varies depending on gender, age, and individual characteristics and is closely related to health.

Body composition analysis is a test that provides basic information to accurately determine the state of the body by quantitatively analyzing the components of the human body. A healthy individual maintains an appropriate amount of body composition in a balanced ratio. When this balance is broken, body fat increases excessively due to an imbalance between body components, which can lead to obesity, nutritional deficiencies due to lack of protein, edema due to increased extracellular moisture, and osteoporosis due to mineral deficiency.

There are several methods to analyze body composition, including anthropometry, underwater weight density, DEXA, CT, and bioelectrical impedance. Among them, Bioelectrical Impedance Analysis (BIA) is a method of analyzing body composition using electric current. When a minute alternating current is passed through the human body, the current flows along highly conductive moisture, and impedance is measured differently in body water, fat, muscle, etc., depending on the amount of moisture. The impedance measured at this time has a certain correlation with body composition components, so using it, body composition analysis is possible. In other words, the bioelectrical impedance method uses the fact that the human body is composed of tissues with high conductivity (Conductor: lean body mass) and tissues with low conductivity (Insulator: body fat) and that the ratio of the two tissues is reflected in the impedance measurement value.

The body composition analysis device using this bioelectrical resistance method has the advantage of industrialization in that it is convenient to operate, simple to measure, and can produce a wealth of results, making it useful.

Conventionally, according to Korean Patent Publication No. 2008-0099674, a hand electrode that is held by the subject to be measured, a connecting means connecting the hand electrode and the main body, and an acceleration sensor unit installed to know the posture of the subject, It includes a display unit that outputs body composition measurement results, and an operation processing unit that calculates the information measured by the acceleration sensor unit and calculates the body composition in order to induce an accurate posture of the subject.

Previously, body composition could be measured, but there was a problem in that the impedance value varied depending on gender and body type.

When measuring obesity according to gender, in the case of a woman, the body composition measurement value may vary depending on whether she is upper-body obese or lower-body obese.

Accordingly, there is a need to develop a body composition analysis device that can increase the precision of body composition measurement and measure activity in real time according to the measured body composition results.

Meanwhile, an electrocardiogram (ECG) measures and records the active current caused by the contraction and expansion of the heart muscle by attaching electrodes from the outside.

In other words, the action potential generated when the heart muscle contracts and relaxes causes an electric current that spreads from the heart throughout the body. This current generates a potential difference depending on the position of the body. Therefore, this potential difference can be measured and recorded through electrodes attached to the skin of the human body, and what is measured and recorded in this way is an electrocardiogram.

Electrocardiogram is generally used as a basic method to check for heart abnormalities and measure heart diseases such as angina pectoris, myocardial infarction, and arrhythmia.

Meanwhile, recently, portable electrocardiogram measuring devices have been developed to naturally measure abnormal electrocardiograms anytime, anywhere.

Currently, there are several types of portable electrocardiogram measuring devices, and the most well-known among them is the Holter electrocardiogram, which is a test in which electrodes are attached to the chest and connected to a portable recorder to record and analyze the electrocardiogram for more than 24 hours during daily activities. Regarding the Holter device, In addition to Korean Patent Application No. 1986-0002744 (portable electrocardiogram recorder), registration number 10-0548967 (Holter device) and registration number 10-0356421 (portable electrocardiogram measuring device) are disclosed.

However, the electrocardiogram measuring device according to the prior art is not widely used because of the inconvenience and inconvenience in use and the high cost of general application to all patients. Moreover, if no special symptoms appear within 24 hours, it has a major disadvantage in that it becomes useless or continues to be used until symptoms are detected.

Therefore, hospitals use a method called exercise stress testing, which provides an artificial load to the heart by actually exercising and detects the electrocardiogram waveform at that time to check for abnormalities in the heart. This is not only inconvenient, but it can also cause abnormalities in the electrocardiogram during the process. This means that it may not appear.

Ultimately, there is a need for a device that can be easily carried by the general public at all times and allow them to measure and store their own electrocardiogram during daily life, before and after exercise, or at the moment an abnormality appears. This type of electrocardiogram for routine self-examination is intended to detect the electrocardiogram by touching the electrodes to the hands or feet only when necessary, even if not all electrodes are attached to the chest.

A related patent is Registration No. 10-0356421 (portable electrocardiogram measuring device), which requires the use of both hands and feet to contact the electrodes, so it is limited in the measurement location and is unsuitable for carrying around. .

KR 10-0356421 B

The present invention was proposed to solve the above technical problems, and provides a portable personal healthcare analysis system that can manage personal health by measuring and analyzing body composition and electrocardiogram at any time in daily life.

In addition, it provides a personal healthcare analysis system that can provide a variety of healthcare services by storing collected data in the DB (cloud) through a user-friendly mobile app and analyzing/processing it to suit user needs.

According to an embodiment of the present invention to solve the above problem, a body composition measuring device and an application having a multi-biometric information measurement function to measure at least one of heart rate, heart rate variation, blood pressure, oxygen saturation, stress level, and activity level This installed portable terminal displays a plurality of health contents through interaction with the body composition measuring device based on the measurement data transmitted from the body composition measuring device, collects the user's measurement data from the portable terminal, and based on the collected measurement data, A personal healthcare analysis system including a cloud server that generates health guide information using a set prediction model is provided.

In addition, the body composition measuring device included in the present invention measures electrode signals including voltage and impedance by flowing current through the user's fingers, analyzes body composition based on the electrode signals, and calculates body composition information, or calculates body composition information based on the electrode signals. It is characterized by detecting electrocardiogram information.

In addition, in the present invention, the application of the portable terminal receives and stores body composition information and electrocardiogram information, and automatically identifies each user based on the body composition information and electrocardiogram information and manages each user.

Additionally, in the present invention, the cloud server continuously receives the body composition information and electrocardiogram information of each user from a portable terminal, and provides health diagnosis information for each user through an application on the portable terminal.

The personal healthcare analysis system according to an embodiment of the present invention can manage personal health by frequently measuring and analyzing body composition and electrocardiogram in daily life through a portable body composition measuring device.

In addition, collected data can be stored in the DB (cloud) through a user-friendly mobile app and analyzed/processed to suit user needs, providing a variety of health care services. In other words, it is a system that analyzes the correlation of multiple biometric data, identifies trends in personal life patterns and health management through algorithms, and provides measurement and analysis information through a mobile linkage service for feedback that can be improved, so that personal health information is systematically collected. It can be managed with

1 is a conceptual diagram of a personal healthcare analysis system according to an embodiment of the present invention.
Figure 2 is a configuration diagram of a personal healthcare analysis system
Figure 3 is a configuration diagram of a body composition measuring device 100 according to an embodiment of the present invention.
Figure 4 is a realistic view of the body composition measuring device 100 according to an embodiment of the present invention.
Figure 5 is a configuration diagram of the printed circuit board of the body composition measuring device 100 according to an embodiment of the present invention.

Hereinafter, in order to explain the present invention in detail so that a person skilled in the art can easily implement the technical idea of the present invention, embodiments of the present invention will be described with reference to the accompanying drawings.

FIG. 1 is a conceptual diagram of a personal healthcare analysis system according to an embodiment of the present invention, FIG. 2 is a configuration diagram of a personal healthcare analysis system, and FIG. 3 is a configuration diagram of a body composition measuring device 100 according to an embodiment of the present invention. , FIG. 4 is a realistic view of the body composition measuring device 100 according to an embodiment of the present invention, and FIG. 5 is a configuration diagram of a printed circuit board of the body composition measuring device 100 according to an embodiment of the present invention.

1 to 5, the personal healthcare analysis system includes a body composition measuring device 100, a portable terminal 200, and a cloud server 300.

The personal healthcare analysis system of the present invention can provide various healthcare services by storing collected data in a DB (cloud) through a user mobile app and analyzing/processing it to suit user needs. In other words, it is a system that analyzes the correlation of multiple biometric data, identifies trends in personal life patterns and health management through algorithms, and provides measurement and analysis information through a mobile linkage service for feedback that can be improved, so that personal health information is systematically collected. It can be managed with

The body composition measuring device 100 is equipped with a multi-biometric information measurement function that measures at least one of heart rate, heart rate variation, blood pressure, oxygen saturation, stress level, and activity level.

That is, the body composition measuring device 100 measures an electrode signal including voltage and impedance by flowing a current through the user's finger, analyzes the body composition based on the electrode signal to calculate body composition information, or calculates electrocardiogram information based on the electrode signal. detect.

The portable terminal 200 is a general term for devices that a user can carry and use, such as a mobile phone, smartphone, smart pad, etc. In this embodiment, it will be described assuming that it is a portable terminal consisting of a smartphone.

The portable terminal 200 has the application installed and displays a plurality of health contents through interaction with the body composition measuring device 100 based on measurement data transmitted from the body composition measuring device 100.

That is, the portable terminal 200 exchanges data with the body composition measuring device 100 through wireless communication, and switches the body composition measuring device 100 to the electrocardiogram measurement mode or body fat measurement mode through an installed application.

At this time, the portable terminal 200 and the body composition measuring device 100 communicate with each other through at least one of Bluetooth, Zigbee, near field communication (NFC), and wireless-fidelity (Wi-Fi) communication modules. It is configured to exchange data after pairing.

An application for controlling the body composition measuring device 100 is installed in the portable terminal 200. The application receives, stores, and manages body composition information and electrocardiogram information from the body composition measuring device 100.

For reference, the portable terminal 200 may be additionally linked in order for the user to control the operation of the body composition measuring device 100. For example, the operation of the body composition measuring device 100 can be controlled by interactively processing necessary information in the form of a chatbot through an application on the portable terminal 200.

In particular, the application automatically identifies each user based on body composition information and electrocardiogram information and operates to manage each user. Since unique body composition information and electrocardiogram information are extracted for each user, this can be used to identify the user. If the unique information for each user is similar, multiple users may be recommended and processed as the information of the finally selected user.

The cloud server 300 may collect the user's measurement data from the portable terminal 200 and generate health guide information using a preset prediction model based on the collected measurement data.

That is, the cloud server 300 continuously receives each user's body composition information and electrocardiogram information from the portable terminal 200, and provides health diagnosis information for each user through an application on the portable terminal 200.

Figure 3 is a configuration diagram of a body composition measuring device 100 according to an embodiment of the present invention.

Referring to FIG. 3, the body composition measuring device 100 includes a plurality of electrodes 101, an input setting unit 102, a measuring unit 103, a body composition analysis unit 104, an electrocardiogram analysis unit 105, and a sensor unit 106. ), an activity analysis unit 107, a wireless communication module 108, and a display unit 109.

The input setting unit 102 sets the user's body shape information. The input setting unit 102 is basically used as a power button, so when selected for more than a predetermined time, the power is turned on (TURN ON), and when selected for more than a predetermined time while turned on (TURN ON), the power is turned off (TURN). OFF).

Additionally, when the input setting unit 102 is touched while the power is turned on, it operates to set the user's body type information. That is, each time the input setting unit 102 is touched, different body shape information is displayed on the display unit 109 and the last displayed body shape information is selected.

The input setting unit 102 is configured to select and input the user's body type information, and selects whether the user's body type is upper body obese or lower body obese along with the user's gender, age, age, weight, height, etc. Additionally, the input setting unit 102 may set an impedance correction value for upper body obesity or lower body obesity according to body type selection.

The measuring unit 103 flows current through the plurality of electrodes 101 to the user's body and measures electrode signals including voltage and impedance.

Specifically, the user touches four electrodes using the thumb and index finger of both hands, and the measuring unit 103 measures voltage and impedance by flowing current through the electrodes.

For reference, an amplifier that amplifies the output electrode signal and an analog-to-digital converter that converts the analog signal into a digital signal may be added.

The body composition analysis unit 104 analyzes body composition using electrode signals and calculates body composition information according to body shape information.

If the user's gender is female, the body composition analysis unit 104 receives body type information, such as whether the user is obese in the upper body or obese in the lower body, and analyzes the body composition using the electrode signal of the measuring unit 103. As a result, the impedance according to the body shape information is calculated. can be corrected.

The body composition analysis unit 104 analyzes body composition using electrode signals and a built-in body composition analysis program. Electrode signals refer to current values, voltage values, and impedance values measured through four electrodes.

The ECG analysis unit 105 calculates ECG information using electrode signals (ECG signals).

The electrocardiogram analysis unit 105 determines the difference between action current and action potential due to contraction of the heart.

The heart is a pump that circulates blood throughout the body and regularly repeats contraction and expansion. The pumping action of the heart is achieved by contraction of the myocardium. Each time the heart beats, a weak amount of electricity is generated, which causes an electric current to flow within the body, and this current generates a distribution of electric potential on the surface of the body. An electrocardiogram (ECG) is an electrocardiogram (ECG) that induces, amplifies, and records small electrical potential changes resulting from heart activity in an appropriate area of the body surface using a certain method.

The ECG analysis unit 105 identifies P, Q, R, S, and T waves, which are ECG waveforms that reflect the electrical activation stage of the heart. The P wave occurs during atrial depolarization, the QRS complex reflects ventricular depolarization, and the T wave reflects ventricular repolarization. This ECG analysis unit 105 can identify the pattern of the ECG waveform and analyze the presence of heart disease.

The wireless communication module 108 exchanges data wirelessly with a portable terminal and includes Bluetooth, Zigbee, near field communication (NFC), and wireless-fidelity (Wi-Fi) communication modules. .

The display unit 109 is configured to display body composition information and electrocardiogram information, and is built into the case to output numerical information, etc. from the inside of the transparent case. The display unit 109 may have a built-in touch module so that it can receive information in the form of a touch.

The sensor unit 106 calculates the number of steps the user takes, and the activity analysis unit 107 uses the output of the sensor unit 106 to calculate the amount of calories consumed by walking.

The sensor unit 106 may include an acceleration sensor or a vibration sensor and a counting device. An acceleration sensor or vibration sensor detects changes in acceleration or vibration, and a counting device can measure the number of steps the user takes. That is, the sensor unit 106 can perform the function of a pedometer.

The activity analysis unit 107 uses the output of the sensor unit 106 to calculate the amount of calories consumed according to the user's walking and measures the actual amount of calories consumed. Here, the actual calorie consumption may include basal metabolic calorie consumption extracted from body composition information.

The activity analysis unit 107 visually outputs a comparison result between the actual calorie consumption and the recommended calorie consumption through the display unit 109. You can control to display by color whether the recommended calorie consumption extracted from body composition information has reached the target.

Here, the recommended calorie consumption includes information regarding target weight and target period. That is, the target weight can be determined based on the body composition ratio according to the calculated body composition information. In addition, the total calories to be consumed to improve the excessive body fat percentage can be calculated according to the target weight, and the recommended calorie consumption can be calculated by dividing the total calories to be consumed by the target period (number of days).

In other words, the activity analysis unit 107 provides information on the amount of exercise to be done and the amount of food to be consumed per day that matches the body composition analysis results, and can recommend exercise areas according to lower body obesity and upper body obesity according to the body type information and the user's amount of exercise. there is.

For reference, the activity analysis unit 107 receives a GPS signal, records location information in real time, and transmits the number of steps of the sensor unit 106 and changes in fat and muscle mass according to the distance traveled to the portable terminal 200. . Therefore, by combining body composition measurement information such as muscle mass and body fat with activity measurement information such as exercise volume, we increase the opportunity (time) for users to utilize the device, and provide guides and activity information that can effectively improve body composition to provide products and services. can strengthen its competitiveness.

FIG. 4 is a realistic view of the body composition measuring device 100 according to an embodiment of the present invention, and FIG. 5 is a configuration diagram of a printed circuit board of the body composition measuring device 100 according to an embodiment of the present invention.

Referring to Figures 4 and 5, ① the touch sensor has the function of selecting items displayed in the display portion (moving items) and can measure temperature without linking with an application.

② DISPLAY displays the image of the item being measured and displays the measurement result.

③ The electrode is a contact electrode that can measure body fat.

④ IR sensor (temperature) is a non-contact temperature measurement (person / object).

⑤ BATTERY

⑥ POWER BUTTON

⑦ CHARGE PART

⑧ Each PPG sensor (heart rate/blood pressure) is provided.

As described above, the measurement method of the personal healthcare analysis system is,

First, information about the user is set. The user refers to the subject who is the subject of body composition analysis. As information about the user, the subject's gender, age, height, weight, etc. are set.

Next, the measuring unit 103 flows current through the user's body and measures electrode signals including voltage and impedance. That is, in order to analyze body composition, the user passes a current through his or her body through an electrode, and the measurement unit 103 measures the current, voltage, and bioimpedance corresponding to the electrode signal through the electrode.

Next, the body composition analysis unit 104 calculates body composition information using a body composition analysis program stored in a storage device (not shown) based on the measured electrode signals of current, voltage, and bioimpedance values.

At this time, the ECG analysis unit 105 calculates ECG information using an ECG analysis program stored in a storage device (not shown) based on the current, voltage, and bioimpedance values of the electrode signals. Here, electrocardiogram information refers to information that represents the difference between action current and action potential due to contraction of the heart as a wave curve.

Next, the activity analysis unit 107 calculates the amount of calories consumed by walking using the output of the sensor unit 106 and measures the actual amount of calories consumed.

Here, actual calorie consumption may include not only calorie consumption due to walking but also basal metabolic calorie consumption. In this case, the activity analysis unit 107 extracts the basal metabolic calorie consumption from the body composition information, and directly measures the calorie consumption during walking using the coefficient output of the sensor unit 106.

Next, the display unit 109 visually outputs the actual calorie consumption compared to the target amount using a display panel and LED.

Meanwhile, the cloud server 300 continuously receives each user's body composition information and electrocardiogram information from the portable terminal 200, and provides health diagnosis information for each user through an application on the portable terminal 200.

That is, the portable terminal 200 can obtain body composition-related information, electrocardiogram-related information, and activity-related information from the body composition measuring device 100, and transmit the collected data to the cloud server 300 or request healthcare-related services. , Services can be provided from the cloud server 300.

The application of the portable terminal 200 may include a measurement device (or portable device) linkage module, a user management and login module, a collection data transmission module, and other device linkage and setting modules. Based on the services or information provided by the cloud server 300, the portable terminal 200 provides user measurement information inquiry services, activity level competition services between users, body shape analysis, and region-based measurement data (or average data) view services, etc. to the user. can be provided to.

The cloud server 300 is connected to a database server that manages a database, stores collected or analyzed data, and can receive data by requesting the stored data. The cloud server 300 may be equipped with a cloud-based service server, a collected data analysis and storage module (or a collected data analysis engine), and a content service engine to provide healthcare information.

The cloud server 300 generates reference data based on data collected from a plurality of portable terminals 200, and compares the reference data with individually measured body fat measurement results, electrocardiogram results, and activity measurement results to determine the standard data. Healthcare information including personal body fat measurement results, personal electrocardiogram measurement results, personal activity measurement results, etc. can be provided to the portable terminal 200.

Meanwhile, the body composition measuring device 100 may be configured to further include a temperature sensor. The temperature sensor is defined as a sensor that measures the indoor temperature where the body composition measuring device 100 is located.

At this time, it is assumed that the body composition measuring device 100 is equipped with both a sensor that measures the temperature of the electrode that the user's finger touches and a sensor that measures the room temperature (ambient temperature).

The measured room temperature and electrode temperature are transmitted to the ECG analysis unit 105, which can detect changes in the pattern of the ECG by considering both the electrode temperature (finger temperature) and the room temperature. In other words, since changes in the ECG pattern may occur due to room temperature, the same user can determine the temperature of the place where the ECG was measured and use it as a correction value and reference value.

Meanwhile, the portable terminal 200 can receive electrocardiogram pattern changes and display predictable heart disease information.

At this time, the portable terminal 200 connects to an external server and receives outdoor temperature information around the current location where the portable terminal 200 is located, then determines the difference between the indoor temperature and the temperature difference that may occur due to the indoor and outdoor temperature difference. Preparation measures related to heart disease can be displayed through the application.

In particular, if it is determined that a specific heart disease is likely to occur based on the user's electrocardiogram pattern, the application can automatically display information on how temperature differences affect the heart disease and information on preparation measures.

The personal healthcare analysis system according to an embodiment of the present invention can manage personal health by frequently measuring and analyzing body composition and electrocardiogram in daily life through a portable body composition measuring device.

In addition, collected data can be stored in the DB (cloud) through a user-friendly mobile app and analyzed/processed to suit user needs, providing a variety of health care services. In other words, it is a system that analyzes the correlation of multiple biometric data, identifies trends in personal life patterns and health management through algorithms, and provides measurement and analysis information through a mobile linkage service for feedback that can be improved, so that personal health information is systematically collected. It can be managed with

As such, a person skilled in the art to which the present invention pertains will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. The scope of the present invention is indicated by the claims described below rather than the detailed description above, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

100: Body composition measuring device
101: plural electrodes
102: input setting unit
103: measuring unit
104: Body composition analysis unit
105: ECG analysis unit
106: sensor unit
107: Activity analysis unit
108: wireless communication module
109: display unit
200: portable terminal
300: Cloud server

Claims (4)

A body composition measuring device equipped with a multi-biometric information measurement function that measures at least one of heart rate, heart rate variability, blood pressure, oxygen saturation, stress level, and activity level;
A portable terminal with an application installed and displaying a plurality of health contents through interaction with the body composition measuring device based on measurement data transmitted from the body composition measuring device; and
a cloud server that collects the user's measurement data from the portable terminal and generates health guide information using a preset prediction model based on the collected measurement data;
Personal healthcare analysis system including.
According to paragraph 1,
The body composition measuring device,
Characterized by measuring electrode signals including voltage and impedance by flowing current through the user's fingers, analyzing body composition based on the electrode signals to calculate body composition information, or detecting electrocardiogram information based on the electrode signals. Personal healthcare analysis system.
According to paragraph 2,
The application of the portable terminal is,
A personal healthcare analysis system that receives and stores the body composition information and the electrocardiogram information, and automatically identifies each user based on the body composition information and the electrocardiogram information and manages each user.
According to paragraph 2,
The cloud server is,
A personal healthcare analysis system that continuously receives the body composition information and electrocardiogram information of each user from the portable terminal, and provides health diagnosis information for each user through an application of the portable terminal.