WO2021143184A1

WO2021143184A1 - Health monitoring system and method

Info

Publication number: WO2021143184A1
Application number: PCT/CN2020/116597
Authority: WO
Inventors: 涂吉; 谭羡无; 余翔易; 王刚; 陈勤琴; 王英华; 白然; 谢海永; 丰雷; 周晶晶
Original assignee: 中国电子科技集团公司电子科学研究院; 首都医科大学附属北京安定医院
Priority date: 2020-01-15
Filing date: 2020-09-21
Publication date: 2021-07-22
Also published as: CN111134683A

Abstract

Disclosed in the present disclosure are a health monitoring system and method. A signal acquisition module and a signal processing module are arranged on a wearable device suitable for a foot of a human body; pressure data of different parts of the foot of the human body, temperature data of the foot of the human body, and heart rate data, respiration rate data and sweat amount data of the human body are acquired by means of the signal acquisition module; and the health condition, etc. of the human body are monitored by means of the signal processing module on the basis of the data acquired by the signal acquisition module. Hence, while ensuring comfort and practicability, the present invention achieves real-time monitoring of various health indexes of a human body and greatly improves user experience.

Description

Health monitoring system and method

Cross-references to related applications

This disclosure claims the priority of a Chinese patent application filed with the Chinese Patent Office on January 15, 2020, with the application number 2020100416281 and titled "A Health Monitoring System", the entire content of which is incorporated into this disclosure by reference.

Technical field

The present disclosure relates to the technical field of the Internet of Things, and in particular to a health monitoring system and method.

Background technique

With the improvement of people's living standards, people pay more and more attention to their own health. Nowadays, there are more and more diseases such as dyslipidemia, cerebrovascular disease, high blood pressure, and heart disease. People need to monitor their weight and body temperature anytime and anywhere. , Heart rate, etc. However, there is currently no device that can monitor the body's weight, body temperature, heart rate and other indicators at any time. Therefore, how to monitor the body's weight, body temperature, and heart rate has become a problem that needs to be solved urgently.

Summary of the invention

The present disclosure provides a health monitoring system, for example, to solve the existing problems that the body weight, body temperature and heart rate cannot be monitored at any time.

The health monitoring system provided by the present disclosure includes a wearable device suitable for human feet, and a signal acquisition module and a signal processing module provided on the wearable device.

The signal collection module is configured to collect pressure data of different parts of the human foot, temperature data of the human foot, and heart rate data, respiration rate data and sweat volume data of the human body.

The signal processing module is configured to monitor the human body based on the data collected by the signal acquisition module.

Optionally, the signal acquisition module includes:

Pressure sensor, configured to collect pressure data of different parts of the human foot;

Temperature sensor, configured to collect human body temperature data;

Heart rate sensor, configured to collect the heart rate data of the human body;

The bioelectrical impedance sensor is configured to collect human respiratory rate data;

The skin electrical response sensor is configured to collect the amount of human sweat.

Optionally, the pressure sensor is arranged on the heel, toe and sole of the human foot corresponding to the wearable device.

Optionally, the signal processing module is configured to perform exercise state monitoring, health state monitoring, and emotional monitoring of the human body based on the data collected by the signal acquisition module.

Optionally, the health monitoring system further includes a communication module.

The signal collection module is configured to send the collected pressure data, temperature data, heart rate data, respiration rate data, and sweat volume data to the communication module.

The communication module is configured to send the received pressure data, temperature data, heart rate data, respiration rate data, and sweat volume data to the signal processing module.

Optionally, the communication module is a flexible wire.

Optionally, the signal processing module is provided on the mobile terminal.

Optionally, the signal acquisition module and the signal processing module are powered by pressure power generation.

Optionally, the wearable device includes one or more of the following: socks, insoles, shoe covers, and shoes.

The present disclosure provides a health monitoring method applied to the above-mentioned health monitoring system. The method includes: collecting physiological parameters of a user wearing a wearable device through a signal acquisition module, and sending the collected physiological parameters to the signal processing module; and The signal processing module determines the physiological state of the user based on the data collected by the signal acquisition module.

Collecting the physiological parameters of the user wearing the wearable device through the signal collection module includes at least one of the following: collecting the number of steps the user has taken; collecting the user's heart rate; collecting the user's body sweat; collecting the user's breath; collecting the user's weight; The temperature around the bottom of the user's foot; the humidity around the bottom of the user's foot is collected; the real-time position of the user is collected; the time data of all sensors is collected; and the height of the user's three-dimensional space position is monitored.

Determining the physiological state of the user by the signal processing module based on the data collected by the signal acquisition module includes at least one of the following: determining the user's movement trajectory within a period of time; and determining the user's movement state.

Optionally, the data collected by the signal acquisition module is the weight of the user, and the determination of the physiological state of the user based on the data collected by the signal acquisition module by the signal processing module includes: acquiring through a pre-established physical model of the user weight system The user's weight reference value; according to the weight data signals collected dynamically and continuously, the data that deviates from the weight reference value during the rise and fall of the signal curve are removed, and the data in the stable section of the signal curve is regarded as the data to be processed, and the average method is used for processing The data is processed to obtain the user's weight data value.

Optionally, the data collected by the signal acquisition module are pressure data of different parts of the user's foot, GPS positioning data and timing data. The determination of the user's physiological state based on the data collected by the signal acquisition module through the signal processing module includes: according to GPS The positioning data calculates the user's movement trajectory, and calculates the user's speed based on the pressure data, GPS positioning data and timing data.

Optionally, determining the physiological state of the user by the signal processing module based on the data collected by the signal acquisition module further includes: when it is determined that the user's motion trajectory is 0, by comparing the user's real-time weight value with the user weight reference value Determine whether the user is currently standing or sitting.

Optionally, determining the physiological state of the user through the signal processing module based on the data collected by the signal acquisition module further includes: when it is determined that the user's motion track is greater than 0, according to GPS positioning data and timing data, and by obtaining the user's real-time weight The value is compared with the user weight reference value to calculate the user’s speed; when the calculated user’s speed is the first speed, it is determined that the user is in a walking state, and when the calculated user’s speed is a second speed greater than the first speed, it is determined The user is running. The present disclosure sets a signal acquisition module and a signal processing module on a wearable device suitable for human feet, and collects pressure data of different parts of the human foot, temperature data of the human foot, and heart rate data and respiration of the human body through the signal acquisition module Rate data and sweat volume data, through the signal processing module based on the data collected by the signal acquisition module, to monitor the health of the human body, so as to ensure the comfort and practicability of the human body to achieve real-time monitoring of various health indicators , Which greatly improves the user experience.

Description of the drawings

In order to explain the technical solutions of the embodiments of the present disclosure more clearly, the following will briefly introduce the drawings that need to be used in the embodiments. It should be understood that the following drawings only show certain embodiments of the present disclosure, and therefore do not It should be regarded as a limitation of the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative work.

FIG. 1 is a schematic diagram of a wearable flexible device in a sock according to an embodiment of the disclosure;

2 is a schematic diagram of a wearable flexible device in a shoe according to an embodiment of the disclosure;

FIG. 3 is a position diagram of the wearable flexible device in the shoe cover of the embodiment of the disclosure;

4 is a position diagram of the wearable flexible device in the air cushion insole according to the embodiment of the disclosure;

FIG. 5 is a position diagram of a wearable flexible device in an airbag according to an embodiment of the disclosure;

FIG. 6 is a module layout diagram of a wearable flexible device according to an embodiment of the disclosure;

FIG. 7 is another module layout diagram of a wearable flexible device according to an embodiment of the disclosure;

FIG. 8 is another module layout diagram of a wearable flexible device according to an embodiment of the disclosure;

FIG. 9 is a schematic diagram of the flow of data according to an embodiment of the disclosure;

FIG. 10 is a schematic diagram of exercise state monitoring according to an embodiment of the disclosure;

Fig. 11 is a health state prediction diagram of an embodiment of the disclosure;

FIG. 12 is an emotional state prediction diagram of an embodiment of the disclosure;

FIG. 13 is a connection structure diagram of a microprocessor provided by an embodiment of the disclosure.

Icon: 1-pressure sensor; 2-signal processing module; 3-power supply; 4-other sensor modules; 5-communication module; 6-flexible wire.

Detailed ways

In order to make the objectives, technical solutions, and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments These are a part of the embodiments of the present disclosure, but not all of the embodiments. The components of the embodiments of the present disclosure generally described and illustrated in the drawings herein may be arranged and designed in various different configurations.

Therefore, the following detailed description of the embodiments of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed present disclosure, but merely represents selected embodiments of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present disclosure.

It should be noted that similar reference numerals and letters indicate similar items in the following figures. Therefore, once a certain item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

It should be noted that, in the case of no conflict, the features in the embodiments of the present disclosure can be combined with each other.

In order to solve the existing problem that the body weight, body temperature and heart rate cannot be monitored at any time, the embodiments of the present disclosure provide a signal acquisition module and a signal processing module on a wearable device suitable for the feet of the human body, and collect the human body through the signal acquisition module The pressure data of different parts of the foot, the temperature data of the human foot, the heart rate data, respiration rate data and the sweat volume data of the human body are monitored by the signal processing module based on the data collected by the signal acquisition module to monitor the health of the human body. Therefore, on the basis of ensuring comfort and practicability, real-time monitoring of various health indicators of the human body is realized, which greatly improves the user experience. Hereinafter, the present disclosure will be further described in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present disclosure, and do not limit the present disclosure.

The embodiment of the present disclosure provides a health monitoring system. As shown in FIG. 1, the system includes: a wearable device suitable for the feet of a human body, and

signal acquisition modules

1, 4 and a signal set on the wearable device. Processing module 2.

The

signal collection modules

1, 4 are configured to collect pressure data of different parts of the human foot, temperature data of the human foot, heart rate data, respiration rate data, and sweat volume data of the human body.

The signal processing module 2 is configured to monitor the human body based on the data collected by the

signal acquisition modules

1 and 4.

Among them, the wearable device described in the embodiment of the present disclosure may include one or more of the following: socks, insoles, shoe covers, shoes, and so on.

In general, the core idea of the embodiments of the present disclosure is to implement the monitoring of various health indicators of the human body by setting the

signal acquisition modules

1, 4 and the signal processing module 2 on the wearable device of the foot, thereby guiding the human body.

In the embodiments of the present disclosure, the

signal acquisition modules

1, 4 may include:

Pressure sensor 1, configured to collect pressure data of different parts of the human foot;

Temperature sensor, configured to collect human body temperature data;

Heart rate sensor, configured to collect the heart rate data of the human body;

It should be noted that the above are only a few sensors listed in the present disclosure, and those skilled in the art can also set other sensors according to actual needs during specific implementation, and this disclosure will not discuss this in detail.

Specifically, the pressure sensor 1 of the embodiment of the present disclosure may be set on the heel, toe, and sole of the human foot corresponding to the wearable device to monitor the pressure of the human body, and calculate the human body based on the monitored pressure. Weight, exercise status, etc.

Optionally, in the embodiment of the present disclosure, the signal processing module 2 is configured to perform exercise status monitoring, health status monitoring, and emotion monitoring on the human body based on the data collected by the

signal collection modules

1 and 4.

It should be noted that, in specific implementation, the present disclosure may provide the signal processing module 2 on the mobile terminal. The mobile terminal may be a user's mobile phone or tablet computer, etc., by using the mobile phone or tablet computer to perform data processing, so as to save the production cost of the wearable device.

In specific implementation, the system of the embodiment of the present disclosure may include the communication module 5.

The

signal collection modules

1 and 4 are also configured to send the collected pressure data, temperature data, heart rate data, respiration rate data, and sweat volume data to the communication module 5.

The communication module 5 is configured to send the received pressure data, temperature data, heart rate data, respiration rate data, and sweat volume data to the signal processing module 2.

It should be noted that the communication module 5 in the embodiment of the present disclosure is a flexible wire.

Of course, in specific implementation, it is also possible to directly connect the

signal acquisition modules

1, 4 to a network such as WIFI, and perform data transmission through a wireless network.

In addition, the

signal acquisition modules

1 and 4 and the signal processing module 2 of the embodiments of the present disclosure may be powered by pressure power generation. The wearable device of the embodiment of the present disclosure will be explained and described in detail below in conjunction with FIGS. 1 to 13.

The present disclosure provides a health monitoring flexible device, which includes a power supply module 3, a

signal acquisition module

1, 4, a signal processing module 2, a communication module 5.

The

signal acquisition modules

1, 4 may include: a pressure sensor 1 configured to monitor the user's weight change; an acceleration sensor to record the user's progress; an optical heart rate sensor to monitor the user's heart rate; and an electric skin to monitor the user's sweat level Reaction sensor; realizes blood flow monitoring through the body's own impedance, and converts it into a bioelectrical impedance sensor for specific heart rate and respiration rate; is configured to monitor the user's movement trajectory and user location positioning GPS; configured to monitor the temperature around the user's feet Temperature sensor; a humidity sensor configured to monitor the humidity around the user's feet and an altimeter for the user to monitor the height of the space where the user is located.

The signal processing module 2 performs signal amplification, filtering, A/D conversion, and signal synchronization on analog signals collected by different types of sensors, and then performs multi-source data fusion analysis to calculate, store and transmit user physiological data and behavioral data. The signal processing module 2 also includes a health monitoring software system, such as a dynamic continuous weighing algorithm for left and right feet, an emotion calculation program, and a user behavior state calculation program.

The power module 3 is responsible for providing power to the

signal acquisition modules

1, 4, the signal processing module 2, and the communication module 5. The power supply module 3 may include a pressure power generation module, a voltage conversion module, and a power supply module.

In the communication module 5, the signal processing module 2 obtains the collected weight, movement trajectory, heart rate, respiration rate, and sweat level data through wired or wireless communication and transmits it to the terminal device;

The terminal device uploads the data to the cloud database to realize the recording, storage, and analysis of user information. At the same time, the terminal device can also download data from the cloud database.

Wherein, the terminal device includes, but is not limited to, a smart phone, a tablet computer, or a notebook computer.

Through the above structural design, the wearable device of the present disclosure can monitor the user's weight, exercise trajectory, heart rate, respiration rate, sweat level and other data changes under the condition of ensuring comfort, applicability, and user experience, and can pass Data analysis shows the user's physical state and emotional state.

As shown in FIG. 1, the wearable flexible device of the embodiment of the present disclosure can be placed in the middle layer of the double-layer sock, among which, for example, the pressure sensor 1, the signal processing module 2, the power supply 3, the other sensor modules 4, and the communication module 5. , Each component can be placed in different positions of the middle layer as needed. As shown in FIG. 2, the wearable flexible device of the embodiment of the present disclosure can be placed in shoes, where, for example, the pressure sensor 1, the signal processing module 2, the power supply 3, the other sensor modules 4, and the communication module 5. Need to be placed in different positions inside the shoe.

In the above two cases, the other sensor modules 4 may include heart rate sensors, galvanic skin response sensors, and bioelectrical impedance sensors, configured to monitor human heart rate, sweat level, and respiration rate. Such sensors need to be in contact with the skin. When the placement method is not in contact with the skin, this type of sensor is in an automatic dormant state; when in contact with the skin, the sensor is immediately in an active state. As shown in FIG. 3, the wearable flexible device of the embodiment of the present disclosure can be connected to the shoe cover as a whole, and set on the outside of the shoe. For example, the pressure sensor 1 can be located at the bottom of the shoe cover, and various components can be placed on the shoe cover as needed. At different locations in. As shown in Figure 4, the wearable flexible device of the embodiment of the present disclosure can be placed in an air-cushioned insole. For example, the pressure sensor 1 can be located at the bottom of the shoe cover, and various components can be placed in different positions in the air-cushion insole as required. . As shown in FIG. 5, the wearable flexible device of the embodiment of the present disclosure can be integrated with an airbag. The shape of the airbag can have a variety of options. For example, the pressure sensor 1 can be located at the bottom of the shoe cover, and various components can be placed as needed. At different locations in the airbag.

6 shows a module layout diagram of a wearable flexible device according to an embodiment of the present disclosure. The wearable flexible device includes a pressure sensor 1, a signal processing module 2, a power supply 3, other sensor modules 4, a communication module 5, and a flexible substrate, The other sensor modules 4 include acceleration sensors, GPS, optical heart rate sensors, galvanic skin response sensors, bioelectrical impedance sensors, temperature sensors, and humidity sensors. The functions of each component are as follows: the pressure sensor 1 is configured to monitor the user's weight; the acceleration sensor is configured to record the number of user progress; the GPS is configured to monitor the user's movement track and the user's location; the optical heart rate sensor is used to monitor the user's heart rate; skin electricity The reaction sensor is configured to monitor the user's sweat level; the bioelectrical impedance sensor can monitor the blood flow through the biological body's own impedance, and convert it into a specific heart rate and respiration rate index; the temperature sensor is configured to monitor the temperature around the user's foot; the humidity sensor is configured to Monitor the humidity around the user's feet; the altimeter is configured to monitor the height of the user's three-dimensional space position; the flexible substrate is used as the connection carrier to carry the pressure sensor 1, the signal processing module 2, the power supply 3, other sensor modules 4, and the communication module 5.

The module layout of the wearable flexible device of the embodiment of the present disclosure can also realize group connection. As shown in Figure 7, the pressure sensor 1, the other sensor modules 4, and the communication module 5 form a group on a flexible substrate, the signal processing module 2, the other pressure sensor 1, and the power supply 3 form a group on another flexible substrate. The groups are connected by flexible wires 6. As shown in Figure 8, the pressure sensor 1, the other sensor modules 4, and the communication module 5 are a group on the flexible substrate, the signal processing module 2 is a group, and the other pressure sensor 1, the power supply 3 are a group on another flexible substrate. The three groups are connected by flexible wires 6.

The health monitoring system of the embodiment of the present disclosure is composed of three parts, as shown in FIG. 9, which are respectively composed of a signal acquisition processor, a mobile terminal/PC terminal, and a cloud database. The signal acquisition processor mainly collects and preprocesses user health data. The signal collection can adopt the rotating sampling technology, so that multiple sensors share the communication bus, and the data transmission between the sensor and the controller is realized by the way of time-sharing and multiplexing. Due to the redundancy, complementarity, cooperation, and hierarchical structure characteristics of signal data, the signal acquisition processor can adopt a multi-source data fusion method to integrate the information provided by different types of sensors to eliminate multi-sensor information The redundancy and contradiction that may exist between them should be complemented to improve the timeliness and reliability of information extraction, and increase the efficiency of data use. After the signal processing module preprocesses the multi-source data, the data is transmitted to the mobile terminal/PC terminal through the communication module, and the mobile terminal/PC terminal reprocesses the received preprocessed data. The realization form of reprocessing includes: when the user wears this flexible health monitoring device, when only the two feet are stressed (including standing, walking, running, etc.) and other body parts are not stressed, the weight and the walking progress are obtained from the left and right feet respectively. Count, exercise trajectory, position location, heart rate, sweat level, breathing rate, temperature around the feet, humidity around the user's feet, combined with the weight of the left and right feet, you can get the weight value, exercise trajectory, heart rate, body sweat, respiration The health data values of the temperature and humidity around the soles of the feet, and the height position of the user in the three-dimensional space. A new type of user weight data algorithm is used in dynamic continuous weighing, as shown below.

The weighing algorithm of the user's single weight data: First, according to the user's standing still, the data collected by the pressure sensor is processed and analyzed to obtain the user's reference weight.

Secondly, the weighing system can be equivalent to a typical single-degree-of-freedom second-order underdamped system, which is equivalent to adding a step input signal to the system when weighing. The second-order underdamped system 0<ξ<1, so its time-domain output is an attenuated oscillation process, the expression is as follows:

in

Finally, take three points on the step response curve of the second-order underdamped system (the point with the smallest fluctuation within 1% of the user's reference weight), and use the average of these three points as the user's dynamic weight value.

Multiple user weight data processing:

According to a series of data obtained by the weighing algorithm of the user's single weight data, the data is processed by the arithmetic average method.

(1) weight single user data values _{_{a 1, a 2, ......,}} a n sorting, removing the n / 2 values smaller weight data retention n / 2, larger weight data values to b ₁ , b ₂ ,..., b _m , where m=n/2;

(2) Find _{the average value of b 1} , b ₂ ,..., bm, and set it as b;

(3) Find _{_{b 1 -b = c 1, b}} 2 -b = c 2, ......, b m -b = c m, of _{_{c 1, c 2, ......,}} c m sorting;

(4) in the _{_{c 1, c 2, ......,}} c m found m / 2 smaller values,

Then find the corresponding b ₁ ′, b ₂ ′,..., b _m/2 ′, and take the average value b′ to be the required user weight data value.

Then the health monitoring system of the embodiment of the present disclosure uploads the health data value obtained each time to the cloud database through the mobile terminal/PC terminal, and at the same time expands the user base, obtains a large amount of data, and builds efficient data mining and data mining in the cloud database. Algorithm model, find the best data processing solution, and then transfer massive data processing tasks to the cloud computing distributed cluster, and the comprehensive information obtained after processing is fed back to the user’s mobile terminal/PC terminal, and the software interface is developed to A simple and intuitive form is presented to the user. At the same time, in the process of data analysis, the health monitoring system can monitor the user's exercise status for a single user, and can also perform health prediction and emotional state prediction based on the analysis of the characteristics of the health big data of different users.

Fig. 10 shows a motion state monitoring diagram of an embodiment of the present disclosure. The physiological data of the user is collected through sensors such as pressure sensors and GPS sensors, and the collected data is analyzed and processed. The health monitoring system of the embodiment of the present disclosure can, for example, obtain the user's weight reference value, the user's movement track (according to the GPS module monitoring), and the user's speed (according to the GPS movement distance/time of the CPU timer). Optionally, the health monitoring system of the embodiments of the present disclosure may be configured to: when it is determined that the GPS motion track is approximately 0 (that is, it is determined that the user's positioning is basically in situ), the real-time weight value can be compared with the user weight reference value. Determine the current status of the user. For example, the processor or processing module of the health monitoring system can be configured to: when it is determined that the difference between the real-time weight value and the user's weight reference value is greater than 0, it is determined that the user is in a sitting state; and when the real-time weight value is determined When the difference from the user's weight reference value is equal to 0, it is determined that the user is standing. Optionally, the health monitoring system of the embodiment of the present disclosure can also be configured to: when the GPS motion track is greater than 0 (that is, the user is positioned to move over time), the real-time weight value can be compared with the user weight reference value and based on GPS movement distance and CPU timer time to calculate the user’s speed; when the calculated user’s speed is the first speed V1 between 4 and 7km/h, it is determined that the user is walking, and when the calculated user’s speed When the second speed V2 is about 10km/h, it is determined that the user is in a running state. That is to say, the health monitoring system provided by the embodiments of the present disclosure can infer the user's state (sitting, standing, walking, running, or even falling, especially monitoring the elderly and children) based on the collected physiological data of the user. Real-time reminder for the falling state of the user), calculate the speed and time of walking and running, and remind the user to exercise properly after sitting for a long time to promote physical health.

FIG. 11 shows a health state prediction diagram of an embodiment of the present disclosure. Through short-term monitoring of weight (for example, 24-hour continuous monitoring), the health monitoring system of the embodiments of the present disclosure can be configured to predict the user’s body lack of water, whether there is binge eating, whether to eat on time, and whether the metabolism is caused by emotional excitement. Speed up and so on. The health monitoring system can be configured to: through mid- to long-term weight monitoring (1 week, 1 month, 1 quarter, or 1 year), to remind users that excessive weight gain can easily lead to obesity problems, or excessive weight gain/loss. It may be due to the body's disease that needs to go to the hospital for examination. The health monitoring system can also be configured to: by monitoring the heart rate, in the case of determining abnormal heart rate changes in a non-exercise (natural) state, it reminds the user whether the heart rate is abnormal due to physiological, pathological or pharmaceutical causes, And in the exercise state, when the user's heart rate exceeds the preset value, it means that the exercise is too intense, and the user is reminded to stop and rest. The health monitoring system can also be configured to: by monitoring the user's breathing rate, in the case of abnormal breathing rate, abnormal rhythm, abnormal depth or difficulty in breathing, remind the user to take appropriate rest and activities, and to maintain a certain amount of nutrition and moisture. And to ensure the supply of oxygen. The health monitoring system can also be configured to monitor the user’s sweat level, and remind the user to replenish water and inorganic salts in time when sweat has been excessive for a long time during exercise, as well as when sweat appears in a natural state. In the case of too much, remind users to strengthen their physical fitness, strengthen exercise, stay up late, etc., because this may be caused by a weaker body or often staying up late.

As shown in FIG. 12, by monitoring the user's physiological signs such as weight, heart rate, sweat, and respiration, the health monitoring system of the embodiments of the present disclosure can predict the emotional state of the user to a certain extent. When a user has a fast heart rate, excessive sweat secretion, and accelerated breathing in a non-exercise state at a certain moment, the health monitoring system can infer that the user is in a state of tension, anxiety, and anxiety. When the user's weight fluctuates too much in a short period of time, the health monitoring system can infer that the user's short-term state is unstable, which may be manifested in:

The weight gains more in a short time, it can be inferred that the user has a strong appetite, a good mood, a happy, and carefree;

The weight has dropped a lot in a short time, and it can be inferred that the user is in a bad mood, depressed, worried, and depressed;

In the above-mentioned multiple situations, the health monitoring system of the embodiment of the present disclosure can automatically send a reminder to the user and/or the mobile terminal/PC terminal of the community care and/or doctor that corresponding measures need to be taken.

When the user's weight fluctuates slightly in a short period of time, the health monitoring system can infer that the user's mood is stable and life is normal.

FIG. 13 shows a connection structure diagram of a signal processing module of an embodiment of the present disclosure. The functions of each component are as follows: the acceleration sensor is configured to collect the user's step count signal; the optical heart rate sensor is configured to collect the user's heart rate signal; the galvanic skin response sensor is configured to collect the user's body sweat signal; the bioelectrical impedance sensor is configured to collect the user's breathing signal; The pressure sensor is configured to collect the user's weight signal; the temperature sensor is configured to collect the temperature signal around the bottom of the user's foot; the humidity sensor is configured to collect the humidity signal around the bottom of the user's foot; the GPS positioning module is configured to collect the user's real-time position and the user's movement over a period of time The trajectory signal; the altimeter is configured to monitor the height signal of the user's three-dimensional space position; the timer module that comes with the microprocessor is configured to collect all sensor time data. The health monitoring system of the embodiment of the present disclosure controls the working time and status of each sensor through a microprocessor. The health monitoring system adopts rotating sampling technology, so that multiple sensors of different types share the communication bus, and the signals collected by different types of sensors are transmitted to the microprocessor through time-sharing multiplexing. The microprocessor transmits the above-mentioned signals to the mobile terminal/PC terminal for data processing through the communication module, and at the same time uploads the processed data to the cloud database. Users can check their weight and various vital signs through the APP on the mobile terminal/PC terminal.

The following will mainly explain and describe each module of the embodiments of the present disclosure in detail:

The signal collection module of the embodiment of the present disclosure includes: a pressure sensor configured to monitor the user's weight change; an acceleration sensor configured to record the number of user's progress; an optical heart rate sensor configured to monitor the user's heart rate; and a skin electric sensor configured to monitor the user's sweat level Reaction sensor; realizes blood flow monitoring through the body's own impedance, and converts it into a bioelectrical impedance sensor for specific heart rate and respiration rate; is configured to monitor the user's movement trajectory and user location positioning GPS; configured to monitor the temperature around the user's feet A temperature sensor; a humidity sensor configured to monitor the humidity around the user's feet; and an altimeter configured to monitor the height of the user's three-dimensional space.

The embodiments of the present disclosure also provide a new type of weighing algorithm, which can realize multi-modal, continuous, left and right foot weighing for users. Multi-modality means that the user's body can sit still, stand or be in motion, etc.; continuous means to obtain weight data without interruption; left and right foot weighing means to obtain data from the left and right feet respectively. Through this algorithm, the health monitoring system of the embodiment of the present disclosure fulfills the weighing requirements of the user.

The steps of the weighing algorithm are as follows: the user's weight reference value is obtained by establishing a physical model of the user's weight system; according to a large number of data signals collected dynamically and continuously, the data that deviates from the weight reference value during the rise and fall of the signal curve are removed , Use the data of the stable segment on the signal curve as the basis for processing, and use the average method to obtain the user's weight data value.

In addition, the health monitoring system of the embodiment of the present disclosure can realize the analysis of the force of the ankle and the knee through dynamic and continuous monitoring of the force of the left and right soles-the front and rear soles.

The user's exercise status monitoring in the embodiments of the present disclosure is as follows: by collecting the physiological data of the user and analyzing and processing the collected data, the health monitoring system of the embodiments of the present disclosure can obtain the user's weight data (according to the pressure sensor) and the user's movement trajectory (according to the pressure sensor). GPS module monitoring) and the user's speed (according to the GPS movement distance/CPU timer time), and infer the user's state (sitting, standing, walking, running, or even falling, especially for the elderly , The child's falling state, real-time reminder), calculate the speed and time of walking and running, remind users to exercise properly after sitting for a long time, and promote physical health.

The monitoring of the user’s health status in the embodiments of the present disclosure is as follows: Through short-term monitoring of weight, the health monitoring system of the embodiments of the present disclosure can predict the user’s body lack of water, whether there is binge eating, whether to eat on time, and whether it is caused by emotional excitement. Increased metabolism, etc.; through mid-to-long-term weight monitoring, the health monitoring system can remind users whether they are prone to obesity or whether the body may have disease and need to go to the hospital for examination; through the monitoring of heart rate, the health monitoring system can be used in non-exercise (Natural) Under the condition of determining abnormal heart rate changes in the state, remind the user whether the abnormal heart rate is caused by physiological, pathological or drug properties. In the state of exercise, when the user's heart rate exceeds the preset value, it means that the exercise is too intense When the user needs to stop and rest; by monitoring the user's breathing rate, the health monitoring system can remind the user to take appropriate rest and activities in the case of abnormal respiratory rate, abnormal rhythm, abnormal depth or difficulty breathing, etc. The health monitoring system can monitor the user’s sweat level. The health monitoring system can remind users that they need to replenish water and inorganic salts in time when they have been too much sweat for a long time during exercise. In the natural state, when there is too much sweat, remind users to strengthen their physical fitness, strengthen exercise, stay up late, etc., because this may be caused by a weaker body or frequent staying up late.

The health monitoring system of the embodiment of the present disclosure can predict the user’s emotional state to a certain extent by monitoring the user’s physiological signs index. The performance is as follows: at a certain moment, the user’s heart rate is too fast and sweat is secreted in a non-exercise state. There are many embodiments of the present disclosure and breathing is accelerated. The health monitoring system can infer that the user is in a state of tension, anxiety, and anxiety; when the user's weight fluctuates slightly in a short period of time, the health monitoring system can infer that the user is emotionally stable and has a normal life. ; When the user's weight fluctuates too much in a short period of time, the health monitoring system can infer that the user's short-term state is unstable.

The health monitoring system of the embodiment of the present disclosure adopts the rotating sampling technology, so that multiple sensors share the communication bus, and the data transmission between the sensor and the controller is realized through the way of time division multiplexing.

The health monitoring system of the embodiments of the present disclosure can realize in-depth mining and analysis of mass data such as weight and physiological signs of multiple users in the cloud database, and infer the health or emotional state of users in the region in a short or long time.

The health monitoring system of the embodiment of the present disclosure does not need to adopt additional hardware devices, and can use the computing power of the CPU on the mobile terminal/PC terminal to process various data.

The health monitoring system of the embodiments of the present disclosure can monitor the spatial position of the user in combination with an altimeter and a position sensor (GPS), for example, it can infer that the user is on a specific floor of a building.

The health monitoring system of the embodiment of the present disclosure can cluster users and friends through the APP application on the mobile terminal/PC terminal, and establish a ranking list of the short-term or long-term weight changes of the users.

In general, the wearable flexible device of the embodiments of the present disclosure can be placed in the middle layer of multi-layer socks, shoes, air cushion insoles, or can be connected to the shoe cover as a whole, and integrated with the airbag, and can perform emotions. Monitoring and health management.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure, not to limit it; although the present disclosure has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions recorded in the foregoing embodiments can still be modified, or some or all of the technical features can be equivalently replaced; these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present disclosure. scope.

Industrial applicability

In summary, the present disclosure provides a health monitoring system that can realize real-time monitoring of various human health indicators on the basis of ensuring comfort and practicability, which greatly improves user experience.

Claims

A health monitoring system is characterized by comprising a wearable device suitable for human feet, and a signal acquisition module and a signal processing module arranged on the wearable device:

The signal acquisition module is configured to collect pressure data of different parts of the human foot, temperature data of the human foot, heart rate data, respiration rate data, and sweat volume data of the human body;

The signal processing module is configured to monitor the human body based on the data collected by the signal acquisition module.
The health monitoring system according to claim 1, wherein the signal acquisition module comprises:

Pressure sensor, configured to collect pressure data of different parts of the human foot;

Temperature sensor, configured to collect human body temperature data;

Heart rate sensor, configured to collect the heart rate data of the human body;

The bioelectrical impedance sensor is configured to collect human respiratory rate data;

The skin electrical response sensor is configured to collect the amount of human sweat.
The health monitoring system according to claim 2, wherein the pressure sensor is arranged on the heel, toe and sole of the human foot corresponding to the wearable device.
The health monitoring system of claim 2, wherein the pressure sensor, the temperature sensor, the heart rate sensor, the bioelectrical impedance sensor, and the skin response sensor share a communication bus to pass Time multiplexing is used to transmit data between the sensor and the controller.
The health monitoring system according to any one of claims 1 to 4, wherein the system further comprises a communication module:

The signal acquisition module is configured to send the collected pressure data, temperature data, heart rate data, respiration rate data, and sweat volume data to the communication module;

The communication module is configured to send the received pressure data, temperature data, heart rate data, respiration rate data, and sweat volume data to the signal processing module.
The health monitoring system according to any one of claims 1 to 5, wherein the communication module is a flexible wire.
The health monitoring system according to any one of claims 1 to 6, wherein the signal processing module is arranged on a mobile terminal/PC terminal.
The health monitoring system according to any one of claims 1 to 7, wherein the signal acquisition module and the signal processing module are powered by pressure power generation.
The health monitoring system according to any one of claims 1 to 8, wherein the wearable device comprises one or more of the following: socks, insoles, shoe covers, and shoes.
A health monitoring method applied to a health monitoring system, wherein the health monitoring system includes a wearable device, and a signal acquisition module and a signal processing module provided on the wearable device, and the method includes:

Collect physiological parameters of the user wearing the wearable device through the signal collection module, and send the collected physiological parameters to the signal processing module; and

The physiological state of the user is determined by the signal processing module based on the data collected by the signal acquisition module.
The method of health monitoring according to claim 10, wherein collecting the physiological parameters of the user wearing the wearable device through the signal collecting module comprises at least one of the following: collecting the number of steps the user has taken; Collect the user's heart rate; collect the user's body sweat; collect the user's breath; collect the user's weight; collect the temperature around the bottom of the user's foot; collect the humidity around the bottom of the user's foot; collect the user's real-time position; collect all sensor time data; monitor the user's location The height of the position in the three-dimensional space.
The method of health monitoring according to any one of claims 10 and 11, wherein the determination of the physiological state of the user by the signal processing module based on the data collected by the signal acquisition module includes the following At least one: determining the movement track of the user in a period of time; and determining the movement state of the user.
The method of health monitoring according to any one of claims 10 to 12, wherein the data collected by the signal acquisition module is the weight of the user, and the signal processing module is based on the data collected by the signal acquisition module. Determining the physiological state of the user includes: obtaining the user's weight reference value through a pre-established physical model of the user weight system; removing the deviation from the weight reference during the rise and fall of the signal curve according to the weight data signal collected dynamically and continuously For the value data, the data in the stable segment on the signal curve is used as the data to be processed, and the data to be processed is processed by the average method to obtain the user weight data value.
The method of health monitoring according to any one of claims 10 to 13, wherein the data collected by the signal collection module is pressure data of different parts of the user's foot, GPS positioning data and timing data, and The signal processing module to determine the physiological state of the user based on the data collected by the signal acquisition module includes: calculating the user's movement track according to the GPS positioning data, and calculating the user's speed according to the GPS positioning data and timing data.
The method of health monitoring according to any one of claims 10 to 14, wherein determining the physiological state of the user by the signal processing module based on the data collected by the signal acquisition module further comprises: when determining When the user's motion track is 0, the user's real-time weight value is compared with the user's weight reference value to determine whether the user is currently standing or sitting.
The method of health monitoring according to any one of claims 10 to 15, wherein determining the physiological state of the user by the signal processing module based on the data collected by the signal acquisition module further comprises: When the user's motion track is greater than 0, the user's speed is calculated according to GPS positioning data and timing data, and by comparing the user's real-time weight value with the user's weight reference value; when the calculated user's speed is the first speed, it is determined The user is in a walking state, and when the calculated speed of the user is a second speed greater than the first speed, it is determined that the user is in a running state.