阅读说明：本技术 健康管理系统和健康管理方法 (Health management system and health management method ) 是由 李嘉华 于 2020-09-17 设计创作，主要内容包括：本发明提供一种健康管理系统和健康管理方法。健康管理方法包含：测量人员的位置信息；根据位置信息决定测量人员的生理状态信息；以及根据生理状态信息产生生理状态报告。(The invention provides a health management system and a health management method. The health management method comprises the following steps: measuring position information of the person; determining physiological state information of the measuring personnel according to the position information; and generating a physiological status report based on the physiological status information.)

1. A health management system adapted to monitor a physiological state of a person in a particular space, comprising:

a physiological state sensor;

a positioning system that measures positional information of the person;

a local server communicatively coupled to the physiological state sensor and the location system, wherein the local server determines to measure physiological state information of the person using the physiological state sensor based on the location information; and

and the cloud server is in communication connection with the local server, and generates a physiological state report according to the physiological state information.

2. The health management system as set forth in claim 1, further including:

a wearable device, wherein the physiological state sensor is disposed on the wearable device to measure the physiological state information of the person wearing the wearable device.

3. The health management system of claim 2, wherein the wearable device comprises a shoe, wherein the physiological state sensor comprises a nine-axis sensor, wherein the physiological state information comprises gait information.

4. The health management system as in claim 2, wherein the physiological state sensor comprises a photoplethysmography sensor, wherein the physiological state information comprises cardiac rhythm variability and blood pressure.

5. The health management system as set forth in claim 2, wherein the physiological state sensor comprises an electroencephalogram sensor, wherein the physiological state information comprises an electroencephalogram.

6. The health management system as in claim 2, wherein the physiological state sensor comprises a thermometer, wherein the physiological state information comprises body temperature.

7. The health management system as in claim 2, wherein the physiological status sensor comprises an electromyography sensor, wherein the physiological status information comprises an electromyography.

8. The health management system of claim 2, wherein the physiological state sensor comprises an electronic patch, wherein the physiological state information comprises bowel sounds.

9. The health management system of claim 2, wherein the wearable device comprises a neck-worn device, wherein the physiological state sensor comprises a nine-axis sensor, wherein the physiological state information comprises displacement information.

10. The health management system of claim 3, wherein the cloud server generates the physiological status report including an alert message associated with a brain lesion risk or a metabolic deterioration risk from the gait information.

11. The health management system of claim 10, wherein the stride information comprises a step size and a step width, wherein the cloud server generates the physiological status report comprising the alert message associated with the brain lesion risk in response to the step length being less than a step size threshold or the step width being greater than a step width threshold.

12. The health management system of claim 4, wherein the cloud server generates the physiological status report including an alert message associated with a brain lesion risk or a cardiovascular lesion risk in response to the blood pressure being greater than a blood pressure threshold.

13. The health management system of claim 4, wherein the cloud server generates the physiological status report including an alert message associated with a brain lesion risk, a cardiovascular lesion risk, or a metabolic deterioration risk according to the heart rhythm variation.

14. The health management system of claim 5, wherein the cloud server generates the physiological status report including an alert message associated with a brain lesion risk from the electroencephalogram.

15. The health management system of claim 6, wherein the cloud server generates the physiological status report including an alert message associated with cardiovascular lesion risk in response to the body temperature being greater than a body temperature threshold.

16. The health management system of claim 7, wherein the cloud server generates the physiological status report including an alert message associated with a brain lesion risk from the electromyogram.

17. The health management system of claim 8, wherein the cloud server generates the physiological status report including an alert message associated with a risk of metabolic deterioration from the bowel sounds.

18. The health management system of claim 9, wherein the cloud server generates the physiological status report including an alert message associated with a risk of metabolic deterioration from the displacement information.

19. The health management system of claim 4, wherein the wearable device comprises a smart bracelet, a head-mounted device, or a neck-mounted device.

20. The health management system of claim 5, wherein the wearable device comprises a head-mounted device.

21. The health management system of claim 6, wherein the wearable device comprises a smart bracelet, a head-mounted device, or a neck-mounted device.

22. The health management system as set forth in claim 1, further including:

an environmental status sensor communicatively coupled to the local server, wherein the local server measures environmental status information using the environmental status sensor.

23. The health management system as set forth in claim 22, further including:

an air conditioning device communicatively coupled to the cloud server, wherein the environmental status sensor comprises an air detector, wherein the environmental status information comprises air quality, wherein the cloud server activates the air conditioning device based on the air quality.

24. The health management system as set forth in claim 22, further including:

a temperature adjustment device communicatively connected to the cloud server, wherein the environmental status sensor comprises an environmental thermometer, wherein the environmental status information comprises an environmental temperature, wherein the cloud server starts the temperature adjustment device according to the environmental temperature.

25. The health management system of claim 1, wherein the local server further decides to measure the physiological state information of the person using the physiological state sensor based on at least one of time information, ambient temperature, or air quality.

26. The health management system of claim 25, wherein the local server determines a time at which the person is to have a default location in the particular space based on the location information and the time information, and measures the physiological state information of the person using the physiological state sensor corresponding to the default location in response to the time being greater than a time threshold.

27. The health management system of claim 1, further comprising a wearable device, wherein the positioning system comprises a first wireless transceiver, a second wireless transceiver, a third wireless transceiver, and a fourth wireless transceiver, wherein

The first wireless transceiver is arranged on the wearable device; and

the second wireless transceiver, the third wireless transceiver and the fourth wireless transceiver are respectively arranged at different positions in the specific space.

28. The health management system as set forth in claim 27, wherein said positioning system transmits signals through said first wireless transceiver and receives said signals through said second wireless transceiver, said third wireless transceiver, and said fourth wireless transceiver to perform triangulation measurements to generate said location information.

29. The health management system of claim 27, wherein said positioning system transmits a second signal through said second wireless transceiver, transmits a third signal through said third wireless transceiver, transmits a fourth signal through said fourth wireless transceiver, and receives said second signal, said third signal, and said fourth signal through said first wireless transceiver to perform triangulation measurements to generate said location information.

30. The health management system as set forth in claim 27, wherein the location system pre-stores a magnetic fingerprint corresponding to the specific space, wherein the location system radiates a magnetic signal through the second wireless transceiver, receives the magnetic signal through the first wireless transceiver, and generates the location information from the magnetic signal and the magnetic fingerprint received by the first wireless transceiver.

31. The health management system of claim 1, further comprising a wearable device, wherein the positioning system comprises a nine-axis sensor disposed on the wearable device, wherein

The positioning system measures movement information of the person wearing the wearable device through the nine-axis sensor and generates the position information according to the movement information.

32. The health management system of claim 31, wherein the movement information comprises at least one of:

current location, speed, heading, or strength of magnetism in a particular direction.

33. The health management system of claim 1, wherein the cloud server transmits the physiological status report to a terminal device sending an access request in response to receiving the access request.

34. A health management method adapted to monitor a physiological state of a person in a particular space, comprising:

measuring location information of the person;

determining to measure physiological state information of the person according to the position information; and

and generating a physiological state report according to the physiological state information.

Technical Field

The present invention relates to a health management system and a health management method.

Background

At present, autonomous health management and disease prevention are increasingly receiving attention from people. In addition, as many countries advance into an aging society, the demand for long-term care is also gradually increasing. However, services such as health management and long-term care are performed by professional personnel. Thus, in addition to the high personnel costs involved, privacy of the users of the service may be violated. Accordingly, it is an aim of those skilled in the art to implement automated health management services.

Disclosure of Invention

The present invention provides a health management system and a health management method that can monitor the physiological state of a person in a specific space.

The invention relates to a health management system, which is suitable for monitoring the physiological state of a person in a specific space, and comprises the following components: physiological state sensor, positioning system, local server and high in the clouds server. The positioning system measures the position information of the person. The local server is communicatively connected to the physiological state sensor positioning system, wherein the local server determines to measure the physiological state information of the person using the physiological state sensor according to the position information. The cloud server is connected to the local server in a communication mode, and the cloud server generates a physiological state report according to the physiological state information.

In an embodiment of the invention, the health management system further includes a wearable device. The physiological state sensor is arranged on the wearable device so as to measure the physiological state information of a person wearing the wearable device.

In an embodiment of the invention, the wearable device includes a shoe, wherein the physiological status sensor includes a nine-axis sensor, and wherein the physiological status information includes walking posture information.

In an embodiment of the invention, the physiological status sensor includes a photoplethysmography sensor, wherein the physiological status information includes a cardiac rhythm variation and a blood pressure.

In an embodiment of the invention, the physiological state sensor includes an electroencephalogram sensor, wherein the physiological state information includes an electroencephalogram.

In an embodiment of the invention, the physiological status sensor includes a thermometer, wherein the physiological status information includes a body temperature.

In an embodiment of the invention, the physiological status sensor includes an electromyography sensor, wherein the physiological status information includes an electromyography.

In an embodiment of the invention, the physiological status sensor includes an electronic patch, wherein the physiological status information includes bowel sounds.

In an embodiment of the invention, the wearable device includes a neck-hanging device, wherein the physiological status sensor includes a nine-axis sensor, and wherein the physiological status information includes displacement information.

In an embodiment of the invention, the cloud server generates the physiological status report including the warning message associated with the brain lesion risk or the metabolic deterioration risk according to the walking posture information.

In an embodiment of the invention, the gait information includes a step size and a step width, wherein the cloud server generates the physiological status report including the warning message associated with the brain lesion risk in response to the step size being less than a step size threshold or the step width being greater than a step width threshold.

In an embodiment of the invention, the cloud server generates the physiological status report including the warning message associated with the risk of brain pathology or the risk of cardiovascular pathology in response to the blood pressure being greater than the blood pressure threshold.

In an embodiment of the invention, the cloud server generates the physiological status report including the warning message associated with the risk of brain pathology, the risk of cardiovascular pathology or the risk of metabolic deterioration according to the variation of the heart rate.

In an embodiment of the invention, the cloud server generates the physiological status report including the warning message associated with the brain lesion risk according to the electroencephalogram.

In an embodiment of the invention, the cloud server generates the physiological status report including the warning message associated with the cardiovascular disease risk in response to the body temperature being greater than the body temperature threshold.

In an embodiment of the invention, the cloud server generates the physiological status report including the warning message associated with the brain lesion risk according to the electromyogram.

In an embodiment of the invention, the cloud server generates the physiological status report including the warning message associated with the risk of metabolic deterioration according to the intestinal sounds.

In an embodiment of the invention, the cloud server generates the physiological status report including the warning message associated with the risk of metabolic deterioration according to the displacement information.

In an embodiment of the invention, the wearable device includes a smart band, a head-mounted device or a neck-hanging device.

In an embodiment of the invention, the wearable device includes a head-mounted device.

In an embodiment of the invention, the wearable device includes a smart band, a head-mounted device or a neck-hanging device.

In an embodiment of the invention, the health management system further includes an environmental status sensor. The environmental status sensor is communicatively connected to the local server, wherein the local server measures environmental status information using the environmental status sensor.

In an embodiment of the invention, the health management system further includes an air conditioning device. The air conditioning device is communicatively connected to the cloud server, wherein the environmental status sensor comprises an air detector, wherein the environmental status information comprises air quality, and wherein the cloud server starts the air conditioning device according to the air quality.

In an embodiment of the invention, the health management system further includes a temperature adjustment device. Temperature regulation apparatus communication connection is to the cloud end server, and wherein environmental status sensor contains the environmental thermometer, and wherein environmental status information contains ambient temperature, and wherein the cloud end server starts temperature regulation apparatus according to ambient temperature.

In an embodiment of the invention, the local server further determines to measure the physiological status information of the person using the physiological status sensor according to at least one of the time information, the ambient temperature, or the air quality.

In an embodiment of the invention, the local server determines a time when the person stays at a default position in the specific space according to the position information and the time information, and measures the physiological status information of the person using the physiological status sensor corresponding to the default position in response to the time being greater than a time threshold.

In an embodiment of the invention, the health management system further includes a wearable device, wherein the positioning system includes a first wireless transceiver, a second wireless transceiver, a third wireless transceiver and a fourth wireless transceiver, wherein the first wireless transceiver is disposed on the wearable device; and the second wireless transceiver, the third wireless transceiver and the fourth wireless transceiver are respectively arranged at different positions in the specific space.

In an embodiment of the invention, the positioning system transmits signals through the first wireless transceiver, and receives signals through the second wireless transceiver, the third wireless transceiver and the fourth wireless transceiver to perform triangulation measurement to generate the position information.

In an embodiment of the invention, the positioning system transmits the second signal through the second wireless transceiver, transmits the third signal through the third wireless transceiver, transmits the fourth signal through the fourth wireless transceiver, and receives the second signal, the third signal and the fourth signal through the first wireless transceiver to perform triangulation measurement to generate the position information.

In an embodiment of the invention, the positioning system pre-stores the magnetic fingerprint corresponding to the specific space, wherein the positioning system radiates the magnetic signal through the second wireless transceiver, receives the magnetic signal through the first wireless transceiver, and generates the position information according to the magnetic signal and the magnetic fingerprint received by the first wireless transceiver.

In an embodiment of the invention, the health management system further includes a wearable device, wherein the positioning system includes a nine-axis sensor disposed on the wearable device, and the positioning system measures movement information of a person wearing the wearable device through the nine-axis sensor and generates the position information according to the movement information.

In an embodiment of the invention, the motion information includes at least one of the following: current location, speed, heading, or strength of magnetism in a particular direction.

In an embodiment of the invention, the cloud server transmits the physiological status report to the terminal device sending the access request in response to receiving the access request.

The invention relates to a health management method, which is suitable for monitoring the physiological state of a person in a specific space, and comprises the following steps: measuring position information of the person; determining physiological state information of the measuring personnel according to the position information; and generating a physiological status report based on the physiological status information.

Based on the above, the invention can guide the user to know the bad image generated by the life habit under the condition of not invading the privacy of the user, thereby preventing the occurrence of diseases (such as cardiovascular diseases or brain diseases).

Drawings

FIG. 1 illustrates a schematic diagram of a health management system, according to an embodiment of the present invention;

FIG. 2 illustrates a schematic diagram of a local server, according to an embodiment of the present invention;

fig. 3 illustrates a schematic diagram of a cloud server according to an embodiment of the present invention;

FIG. 4 shows a schematic view of a positioning system according to an embodiment of the invention;

FIG. 5 illustrates a schematic view of stride information, according to an embodiment of the present invention;

FIG. 6 illustrates a flow diagram of a health management method, according to an embodiment of the invention.

Description of the reference numerals

10: a health management system;

100: a local server;

110. 210, 310: a processor;

120. 220, 320: a storage medium;

130. 230, 330: a transceiver;

200: a cloud server;

300: a positioning system;

340. 350, 360, 370: a wireless transceiver;

380: a nine-axis sensor;

400: a physiological state sensor;

401: a nine-axis sensor;

402: a thermometer;

403: a photoplethysmography sensor;

404: an electroencephalogram sensor;

405: an electromyographic sensor;

406: an electronic patch;

450: a wearable device;

500: an environmental state sensor;

501: an air detector;

502: an environmental thermometer;

600: an air conditioning device;

700: a temperature adjustment device;

s601, S602, S603: and (5) carrying out the following steps.

Detailed Description

Reference will now be made in detail to exemplary embodiments of the invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers will be used throughout the drawings and the description to refer to the same or like parts.

The occurrence of cardiovascular or brain lesions can be predicted by a number of precursor signs. In the case of cardiovascular diseases, when the blood becomes thick due to the decrease of water in the blood, the blood vessel is easily clogged. Therefore, the water content in the blood can be used as a leading index for predicting cardiovascular diseases. On the other hand, the long-term poor sleep quality easily leads to the gradual accumulation of Beta-amyloid (Beta-amyloid) produced by cranial nerve reaction beyond metabolism. The accumulated beta-amyloid may block the transmission of brain nerve signals, resulting in the degeneration or death of brain cells. After the hippocampus is affected to some extent by β -amyloid, the hippocampus will not recover. Therefore, the proportion of good sleep can be used as a leading index for predicting brain lesion. In addition, after the patient has suffered a brain disorder, the patient may begin to develop a cloudiness (indirectly affecting the ability to chew), or the patient's gait may change. The brain waves of the affected area of the cranial nerve are also altered.

The invention can predict the brain lesion risk or the cardiovascular lesion risk according to a plurality of early signs or leading indexes, thereby prompting a user to pay attention to the physiological state of the user. FIG. 1 illustrates a schematic diagram of a health management system 10, in accordance with an embodiment of the present invention. The health management system 10 can monitor the physiological status of the person in a specific space, which may include an indoor space or an outdoor space, all the time to collect physiological status information or environmental status information of the person at the time of occurrence of a major event. The health management system 10 can also analyze the collected physiological status information or environmental status information to determine whether to issue an alarm, so as to guide the user to know the adverse effects caused by living habits, prevent diseases, or call for help from other people to assist people in need of help.

The health management system 10 may include a local server 100, a cloud server 200, a location system 300, a physiological status sensor 400, a wearable device 450, an environmental status sensor 500, an air conditioning device 600, and a temperature conditioning device 700. The local server 100 may be communicatively connected to the cloud server 200, the positioning system 300, the physiological status sensor 400, and the environmental status sensor 500, and may forward data collected by the positioning system 300, the physiological status sensor 400, or the environmental status sensor 500 to the cloud server 200.

Fig. 2 shows a schematic diagram of the local server 100 according to an embodiment of the invention. The local server 100 is, for example, a gateway or a smart phone, etc., but the present invention is not limited thereto. The local server 100 may include a processor 110, a storage medium 120, and a transceiver 130.

The processor 110 is, for example, a Central Processing Unit (CPU), or other programmable general purpose or special purpose Micro Control Unit (MCU), a microprocessor (microprocessor), a Digital Signal Processor (DSP), a programmable controller, an Application Specific Integrated Circuit (ASIC), a Graphics Processing Unit (GPU), a video signal processor (ISP), an Image Processing Unit (IPU), an Arithmetic Logic Unit (ALU), a Complex Programmable Logic Device (CPLD), a field programmable logic device (FPGA), or other similar components. The processor 110 may be coupled to the storage medium 120 and the transceiver 130, and access and execute a plurality of modules and various applications stored in the storage medium 120.

The storage medium 120 is, for example, any type of fixed or removable Random Access Memory (RAM), read-only memory (ROM), flash memory (flash memory), Hard Disk Drive (HDD), Solid State Drive (SSD), or the like or a combination thereof, and is used to store a plurality of modules or various applications executable by the processor 110.

The transceiver 130 transmits and receives signals in a wireless or wired manner. The transceiver 130 may also perform operations such as low noise amplification, impedance matching, frequency mixing, frequency up or down conversion, filtering, amplification, and the like. The local server 100 may be communicatively connected to the cloud server 200, the positioning system 300, the physiological state sensor 400, and the environmental state sensor 500 through the transceiver 130.

The cloud server 200 may be communicatively connected to the air conditioner 600 and the temperature conditioner 700, and analyze data from the local server 100 to control the air conditioner 600 or the temperature conditioner 700 according to the data. Fig. 3 shows a schematic diagram of the cloud server 200 according to an embodiment of the present invention. Cloud server 200 may include a processor 210, a storage medium 220, and a transceiver 230.

The processor 210 may be, for example, a central processing unit, or other programmable general purpose or special purpose micro-control unit, microprocessor, digital signal processor, programmable controller, application specific integrated circuit, graphics processor, video signal processor, image processing unit, arithmetic logic unit, complex programmable logic device, field programmable gate array, or other similar components or combinations thereof. The processor 210 may be coupled to the storage medium 220 and the transceiver 230, and access and execute a plurality of modules and various applications stored in the storage medium 220.

The storage medium 220 may be any type of fixed or removable random access memory, read only memory, flash memory, hard disk, solid state drive, the like, or any combination thereof, for storing a plurality of modules or various applications executable by the processor 210.

The transceiver 230 transmits and receives signals in a wireless or wired manner. The transceiver 130 may also perform operations such as low noise amplification, impedance matching, frequency mixing, frequency up or down conversion, filtering, amplification, and the like. The cloud server 200 may be communicatively connected to the local server 100, the air conditioning device 600, and the temperature conditioning device 700 through the transceiver 230.

In one embodiment, the cloud server 200 may transmit an alarm associated with the physiological status information or the environmental status information to the external electronic device through the transceiver 230. For example, the cloud server 200 may receive an access request from a terminal device of the user through the transceiver 230, and transmit a physiological status report related to the physiological status information to the terminal device to prompt the user whether the physiological status of the user is abnormal. Alternatively, the cloud server 200 may automatically transmit the physiological status report to a default terminal device after generating the physiological status report. For another example, the cloud server 200 may transmit the alarm related to the physiological status information to the medical staff or the terminal device of the fire fighter through the transceiver 230, so as to prompt the medical staff to rescue the person with the abnormal physiological status. For another example, the cloud server 200 may transmit an alarm related to the environmental status information (e.g., the environmental temperature is too high) to the fire fighter via the transceiver 230 to prompt the fire fighter to extinguish the fire.

The positioning system 300 is used to measure the location information of a person in a particular space. Fig. 4 shows a schematic diagram of a positioning system 300, according to an embodiment of the invention. The positioning system 300 may include a processor 310, a storage medium 320, a transceiver 330, a wireless transceiver 340, a wireless transceiver 350, a wireless transceiver 360, a wireless transceiver 370, and a nine-axis sensor 380.

The processor 310 may be, for example, a central processing unit, or other programmable general purpose or special purpose micro-control unit, microprocessor, digital signal processor, programmable controller, application specific integrated circuit, graphics processor, video signal processor, image processing unit, arithmetic logic unit, complex programmable logic device, field programmable gate array, or other similar components or combinations thereof. The processor 310 may be coupled to the storage medium 320 and the transceiver 330, and access and execute a plurality of modules and various applications stored in the storage medium 320.

The storage medium 320 may be any type of fixed or removable random access memory, read only memory, flash memory, hard disk, solid state disk, the like, or any combination thereof, for storing a plurality of modules or various applications executable by the processor 310.

The transceiver 330 transmits and receives signals in a wireless or wired manner. The transceiver 330 may also perform operations such as low noise amplification, impedance matching, frequency mixing, frequency up or down conversion, filtering, amplification, and the like. Transceiver 330 may be coupled to wireless transceiver 340, wireless transceiver 350, wireless transceiver 360, wireless transceiver 370, and nine-axis sensor 380. In addition, the location system 300 may also be communicatively connected to the local server 100 through a transceiver 330.

Wireless transceiver 340, wireless transceiver 350, wireless transceiver 360, and wireless transceiver 370 may have the function of transmitting or receiving wireless signals. Wireless transceiver 340 may be located on wearable device 450 or on a portable device (e.g., a smart phone) held by the user. Wireless transceiver 350, wireless transceiver 360, and wireless transceiver 370 may each be disposed at different locations in a particular space. For example, the wireless transceiver 350, the wireless transceiver 360 and the wireless transceiver 370 may be respectively disposed in a plurality of light fixtures at different positions of the ceiling, but the invention is not limited thereto.

In one embodiment, processor 310 of positioning system 300 may transmit signals through wireless transceiver 340 and may receive signals through wireless transceiver 350, wireless transceiver 360, and wireless transceiver 370 to perform triangulation measurements to generate location information corresponding to wearable device 450. For example, the processor 310 may determine a distance between the wireless transceiver 340 and the wireless transceiver 350 (or the wireless transceiver 360, the wireless transceiver 370) according to a Received Signal Strength (RSSI) of the received signal, thereby performing triangulation measurements according to the distance. The positioning system may transmit the positioning information to the local server 100 through the transceiver 330, so that the local server 100 forwards the positioning information (or "first positioning information") to the cloud server 200.

In one embodiment, processor 310 of positioning system 300 may transmit a plurality of signals via wireless transceiver 350, wireless transceiver 360, and wireless transceiver 370, respectively, and may receive the plurality of signals via wireless transceiver 340 to perform triangulation measurements to generate position information corresponding to wearable device 450. The positioning system may transmit the positioning information to the local server 100 through the transceiver 330, so that the local server 100 forwards the positioning information (or "second positioning information") to the cloud server 200. The processor 210 of the cloud server 200 may use the second positioning information to correct the first positioning information, or use the first positioning information to correct the second positioning information, so as to obtain more accurate position information.

In one embodiment, the storage medium 320 of the location system 300 may pre-store a magnetic fingerprint corresponding to a particular space. The positioning system 300 may transmit magnetic signals through the wireless transceiver 350, the wireless transceiver 360, or the wireless transceiver 370 and may receive the magnetic signals through the wireless transceiver 340. Processor 310 of positioning system 300 can determine the location information corresponding to wearable device 450 from the magnetic signal received by wireless transceiver 340 and the magnetic fingerprint of the specific space.

The location information generated by the positioning system 300 may be used to provide navigation functionality. For example, after the cloud server 200 obtains the location information, if any terminal device transmits an access request to the cloud server 200, the processor 210 of the cloud server 200 may transmit the location information to the terminal device through the transceiver 230. Alternatively, the processor 210 generates the navigation information according to the position information, and then transmits the navigation information to the terminal device through the transceiver 130. The location information generated by the positioning system 300 may be presented in the form of geodetic coordinates or longitude and latitude to facilitate integration with other outdoor positioning system maps to continuously provide navigation functions for people moving between various buildings or outdoor spaces.

In an embodiment, the nine-axis sensor 380 of the positioning system 300 may be disposed at the wearable device 450, wherein the nine-axis sensor 380 may include a gyroscope for measuring angular velocity, an accelerometer for measuring acceleration, and a magnetometer for measuring magnetic fields. Processor 310 of positioning system 300 may measure movement information of a person wearing wearable device 450 via nine-axis sensors 380 and generate location information based on the movement information. The movement information may include a current position, a speed, a heading, or a strength of magnetism in a particular direction.

Referring to fig. 1, the physiological status sensor 400 may be disposed on a wearable device 450 to measure physiological status information of a person wearing the wearable device 450, wherein the wearable device 450 is, for example, a smart band, a head-mounted device or a neck-mounted device, and the wearable device 450 may include a wireless transceiver for transmitting or receiving signals. In addition, the physiological condition sensor 400 can also be worn directly by the person. The physiological condition sensor 400 may include a nine-axis sensor 401, a thermometer 402, a photoplethysmography (PPG) sensor 403, an electroencephalogram (EEG) sensor 404, an Electromyography (EMG) sensor 405, and an electronic patch (electrode pad)406, wherein the nine-axis sensor 401 may be the same as or different from the nine-axis sensor 380.

The type of sensor provided on the wearable device 450 may be related to the type of wearable device 450. For example, if the wearable device 450 is a shoe, the physiological state sensor 400 can include a nine-axis sensor 401. If the wearable device 450 is a smart band, the physiological state sensor 400 may include a nine-axis sensor 401, a thermometer 402, and a photoplethysmography sensor 403. If the wearable device 450 is a head-mounted device, the physiological state sensor 400 may include a nine-axis sensor 401, a thermometer 402, a photoplethysmography sensor 403, and an electroencephalogram sensor 404. If the wearable device 450 is a neck-hanging device, the physiological state sensor 400 may include a nine-axis sensor 401, a thermometer 402, and a photoplethysmography sensor 403. The physiological state sensor 400 may measure physiological state information of the user. The cloud server 200 may evaluate whether the user has a potential brain lesion risk or cardiovascular lesion risk by analyzing the long-term accumulated physiological status information, and generate a corresponding physiological status report to alert the user.

If the wearable device 400 is a shoe, the nine-axis sensor 401 may measure the gait information of the user, wherein the gait information may include temporal gait parameters and spatial gait parameters. The time parameters may include walking rate, step frequency, stepping time, striding time, swing period, stance period, one-foot support time, two-foot support time, and the like. The gait cycle is the time elapsed between the first and second touchdowns of the first foot. The walking rate is the distance traveled in the direction of the path per second. The step frequency is the number of steps taken per minute. The step time is the time elapsed from the first strike of the first foot to the first strike of the second foot. Stride time is the time elapsed from a first touchdown of the first foot to a second touchdown of the first foot. The swing phase is the period of time (in percent of the gait cycle) during which the first foot leaves the ground during the gait cycle (i.e., the stride time). The stance phase is the period of time in the gait cycle during which the first foot touches the ground (in percent of the gait cycle). The one-foot support time is the time elapsed from the ground clearance of the first foot to the ground contact of the first foot. The two-foot support time is the time between the first foot-off and the second foot-off plus the time between the second foot-off and the first foot-off.

Spatial gait parameters may include stride width, stride length, support base or medial/lateral octal, etc. The stride width is the distance between the heel of the first foot and the heel of the second foot. Stride length is the distance traveled in the direction of travel during heel strike of a first foot to heel strike of a second foot on foot. Stride length is the distance traveled in the direction of travel during the first touchdown of the heel of the first foot to the second touchdown on foot. The support substrate is the distance between the projection of the heel of the footprint of the first foot on the path of travel and the projection of the heel of the footprint of the second foot on the path of travel. The inner and outer eight are the angles between the advancing path and the center line of the footprint.

The cloud server 200 may generate a physiological status report including an alert message associated with a risk of metabolic deterioration or a risk of brain pathology according to the gait information. For example, the cloud server 200 may determine the amount of exercise of the user according to the walking posture information, so as to evaluate the metabolic deterioration risk of the user according to the amount of exercise. The cloud server 200 may further determine blood pressure, blood oxygen, or blood fat of the user according to the risk of metabolic deterioration. If the blood pressure, blood oxygen or blood fat of the user exceeds the standard, the cloud server 200 may generate a physiological status report including a corresponding warning message.

As the brain of a person degrades, the length of the stride of the person may gradually decrease and the stride width may gradually increase. Accordingly, the cloud server 200 can determine whether the celebrity has a brain lesion risk according to the step length or the step width. FIG. 5 illustrates a schematic diagram of gait information, according to an embodiment of the invention. The gait information may include a step size and a step width. The cloud server 200 may generate a physiological status report including an alert message associated with a brain lesion risk in response to the step length being less than the step size threshold or the step width being greater than the step width threshold.

If the wearable device 450 is a neck-mounted device, the nine-axis sensor 401 may measure displacement information of the user's chest. The cloud server 200 may determine the respiratory condition or sleep quality of the user according to the displacement information, thereby generating a physiological status report including an alert message associated with a risk of metabolic deterioration according to the displacement information.

Referring to fig. 1, a thermometer 402 may measure a user's body temperature. Hyperthermia may lead to the development of cardiovascular pathologies. In response, the cloud server 200 may generate a physiological status report including an alert message associated with the cardiovascular lesion in response to the measured body temperature being greater than the body temperature threshold.

The photoplethysmography sensor 403 may measure a Heart Rate Variability (HRV), blood oxygen, or blood pressure of the user. In one embodiment, the cloud server 200 may generate a physiological status report including an alert message associated with a brain lesion risk or a cardiovascular lesion risk in response to the measured blood pressure being greater than the blood pressure threshold. In one embodiment, the cloud server 200 may generate a physiological status report including an alert message associated with a brain lesion risk, a cardiovascular lesion risk, or a metabolic deterioration risk according to the heart rhythm variation. Specifically, the cloud server 200 may determine the presence of a brain lesion risk, a cardiovascular lesion risk, or a metabolic deterioration risk by using a plurality of indicators calculated based on the heart rhythm variation, wherein the plurality of indicators may include a standard deviation of normal sinus inter-beat intervals (SDNN), a root mean square of difference between adjacent two heart beat intervals (RMSSD), a Total Power (TP), a low frequency power (low frequency power, LF), a high frequency power (HF), or a low frequency-high frequency ratio (LF/HF).

The electroencephalogram sensor 404 may measure the user's electroencephalogram. The electroencephalogram may include a plurality of waves such as Alpha (α) waves, Beta (β) waves, Gamma (γ) waves, Delta (δ) waves, Theta (θ) waves, Lambda (λ) waves, or P300 waves. The cloud server 200 may determine the dopamine secretion of the brain of the user according to the waveforms of the waves, and then generate a physiological status report including an alert message associated with a brain lesion risk according to the determination result.

The electromyography sensor 405 may measure an electromyogram of a user. For example, brain lesions may affect the user's ability to chew, and the electromyogram of the user's chewing muscles may change due to the brain lesions. Accordingly, the cloud server 200 may generate a physiological status report including an alert message associated with a brain lesion risk according to the electromyogram.

The electronic patch 406 may be attached to the abdominal cavity of the user and may measure the bowel sound (bowel sound) of the user. The cloud server 200 may generate a physiological status report including an alert message associated with a risk of metabolic deterioration from the intestinal sounds.

The environmental status sensor 500, the air conditioner 600, and the temperature conditioner 700 may be disposed in a specific space monitored by the health management system 10, wherein the air conditioner 600 and the temperature conditioner 700 may be controlled by the processor 210 of the cloud server 200. The environmental condition sensor 500 may include an air detector 501 and an environmental thermometer 502. The environmental status sensor 500 may be used to measure environmental status information. The local server 100 may forward the environment status information to the cloud server 200. The environmental status information may include the air quality measured by the air detector 501. The cloud server 200 may determine whether to activate the air conditioning device 600 to improve the air quality according to the air quality. The environmental status information may also include the ambient temperature measured by the ambient thermometer 502. The cloud server 200 may determine whether to activate the temperature adjustment device 700 to adjust the ambient temperature to a suitable temperature according to the ambient temperature. In other words, if the air quality or the ambient temperature does not need to be adjusted, the air conditioner 600 or the temperature conditioner 700 may be maintained in the off state to save power consumption.

The local server 100 may decide whether to measure physiological state information of the person using the physiological state sensor 400 or to measure environmental state information using the environmental state sensor 500 according to at least one of location information, time information, ambient temperature, or air quality. The processor 110 of the local server 100 may transmit the physiological status information or the environmental status information to the cloud server 200 through the transceiver 130, so that the processor 210 of the cloud server 200 generates a physiological status report according to the physiological status information, or determines whether to activate the air conditioner 600 or the temperature conditioner 700 according to the environmental status information. Specifically, the storage medium 120 of the local server 100 may pre-store a mapping table associated with at least one of location information, time information, ambient temperature, or air quality. The processor 110 of the local server 100 may determine whether to activate the sensor (the physiological state sensor 400 or the environmental state sensor 500) and the kind of the sensor determined to be activated according to the mapping table, and may determine whether to activate the air-conditioning device 600 or the temperature-conditioning device 700 according to the mapping table.

In one embodiment, the local server 100 may determine a time of a default location of the person in a specific space according to the location information and the time information, and may use the physiological status sensor 400 corresponding to the default location to measure the physiological status information of the person in response to the time being greater than a time threshold or the time being within a specific time interval. Accordingly, the local server 100 can monitor the physiological status of the person all the time and control the physiological status sensor 400 to measure the physiological status information when important activities occur. When no significant activity is occurring, the physiological state sensor 400 can remain in an off state to save power consumption.

TABLE 1

Taking table 1 as an example, the mapping table pre-stored in the storage medium 120 of the local server 100 may store information as shown in table 1. If the local server 100 determines that the person is in the bedroom during the time interval 23: 00-06: 00, the local server 100 may decide to activate the electroencephalogram sensor 404 to measure the electroencephalogram of the person, so that the quality of sleep of the person may be determined from the electroencephalogram. If the ambient temperature is not between 25-28 ℃, the local server 100 may determine to activate the temperature adjustment device 700 to adjust the ambient temperature to between 25-28 ℃. If the local server 100 determines that the person is in the living room for more than 10 minutes, the local server 100 may decide to activate the ambient thermometer 502 to measure the ambient temperature in the living room. 1 the local server 100 may further decide whether to enable the thermostat 700 based on the ambient temperature. If the local server 100 determines that the person is in the bathroom and the ambient temperature of the bathroom is greater than 60 ℃, the local server 100 may enable the thermometer 402 to measure the body temperature of the person. The local server 100 may further determine whether the body temperature of the person is too high according to the temperature. If the local server 100 determines that the time the person stays in the bathroom is greater than 30 minutes, the local server 100 may activate the photoplethysmography sensor 403 to measure the blood pressure of the person. The local server 100 may further determine whether the person is likely to be unconscious due to hypertension according to the blood pressure. If the local server 100 determines that the person is in the kitchen and the PM2.5 for the kitchen is greater than 35 μ g/m ^3, the local server 100 may activate the air conditioning device 600 to filter the air and improve the air quality.

FIG. 6 illustrates a flow diagram of a health management method, which may be implemented by the health management system 10 shown in FIG. 1, according to an embodiment of the present invention. In step S601, position information of the person is measured. In step S602, physiological state information of the measurement person is determined based on the position information. In step S603, a physiological status report is generated based on the physiological status information.

In summary, the health management system of the present invention can include various physiological status sensors and environmental status sensors. The health management system can integrate the sensors and monitor the physiological state and environmental state of the person in a specific space through the sensors to collect big data. The physiological state sensor may be disposed on the wearable device to accurately measure physiological state information of the person. The health management system may continuously monitor a person's life trajectory through the positioning system and begin measuring physiological state information of the celebrity and analyzing the physiological state information when significant activity occurs. The health management system can predict the possible physiological state abnormal phenomenon of personnel by analyzing the physiological state information and send out real-time alarm to avoid missing gold rescue time. Therefore, the invention can guide the user to know the adverse effect caused by the living habits under the condition of not invading the privacy of the user, thereby preventing the occurrence of diseases (such as cardiovascular disease risk or brain disease risk).

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.