TW202141524A - Health management system and health management method - Google Patents

Abstract

A health management system and a health management method are provided. The health management method includes: measuring position information of a person; determining to measure physiological state information of the person according to the position information; and generating a physiological state report according to the physiological state information.

Description

Health management system and health management method

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

At present, more and more people pay more and more attention to independent health management and disease prevention. In addition, as many countries enter an aging society, the need for long-term care is gradually increasing. However, whether it is health management or long-term care services, it is necessary to rely on professionals to perform. In this way, in addition to spending a lot of personnel costs, it may also infringe on the privacy of service users. Accordingly, how to achieve automated health management services is the goal that people in this field are committed to.

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

The health management system of the present invention is suitable for monitoring the physiological state of persons in a specific space, and includes a physiological state sensor, a positioning system, a local server, and a cloud server. The positioning system measures the location information of the personnel. The local server is communicatively connected to the physiological state sensor positioning system, wherein the local server decides to use the physiological state sensor to measure the physiological state information of the person according to the location information. The cloud server communicates with the local server, and the cloud server generates a physiological state report based on the physiological state information.

In an embodiment of the present invention, the aforementioned health management system further includes a wearable device. The physiological state sensor is installed in the wearable device to measure the physiological state information of the person wearing the wearable device.

In an embodiment of the present invention, the aforementioned wearable device includes shoes, wherein the physiological state sensor includes a nine-axis sensor, and the physiological state information includes step information.

In an embodiment of the present invention, the aforementioned physiological state sensor includes a photoplethysmographic sensor, wherein the physiological state information includes heart rhythm variability and blood pressure.

In an embodiment of the present invention, the aforementioned physiological state sensor includes an electroencephalogram sensor, and the physiological state information includes an electroencephalogram.

In an embodiment of the present invention, the aforementioned physiological state sensor includes a thermometer, and the physiological state information includes body temperature.

In an embodiment of the present invention, the aforementioned physiological state sensor includes a myoelectric sensor, and the physiological state information includes an electromyogram.

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

In an embodiment of the present invention, the aforementioned wearable device includes a neck-mounted device, wherein the physiological state sensor includes a nine-axis sensor, and the physiological state information includes displacement information.

In an embodiment of the present invention, the aforementioned cloud server generates a physiological state report containing warning messages related to the risk of brain disease or the risk of deterioration of metabolism based on the gait information.

In an embodiment of the present invention, the aforementioned step posture information includes a step length and a step width, and the cloud server generates an alert including the risk of brain disease in response to the step length being less than the step length threshold or the step width being greater than the step width threshold. The physiological status report of the message.

In an embodiment of the present invention, the aforementioned cloud server generates a physiological status report containing warning messages related to the risk of brain disease or cardiovascular disease in response to the blood pressure being greater than the blood pressure threshold.

In an embodiment of the present invention, the aforementioned cloud server generates a physiological state report containing warning messages related to the risk of brain disease, cardiovascular disease, or metabolic deterioration based on the heart rhythm variability.

In an embodiment of the present invention, the aforementioned cloud server generates a physiological state report containing warning messages related to the risk of brain disease based on the EEG.

In an embodiment of the present invention, the above-mentioned cloud server generates a physiological status report containing warning messages related to cardiovascular disease risk in response to the body temperature being greater than the body temperature threshold.

In an embodiment of the present invention, the aforementioned cloud server generates a physiological state report containing warning messages related to the risk of brain disease based on the electromyogram.

In an embodiment of the present invention, the aforementioned cloud server generates a physiological state report containing warning messages related to the risk of deterioration of metabolism based on bowel sounds.

In an embodiment of the present invention, the above-mentioned cloud server generates a physiological state report containing warning messages related to the risk of deterioration of metabolism based on the displacement information.

In an embodiment of the present invention, the aforementioned wearable device includes a smart bracelet, a head-mounted device, or a neck-mounted device.

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

In an embodiment of the present invention, the aforementioned wearable device includes a smart bracelet, a head-mounted device, or a neck-mounted device.

In an embodiment of the present invention, the aforementioned health management system further includes an environmental status sensor. The environmental state sensor is communicatively connected to a local server, and the local server uses the environmental state sensor to measure environmental state information.

In an embodiment of the present invention, the aforementioned health management system further includes an air conditioning device. The air-conditioning device is communicatively connected to a cloud server, wherein the environmental state sensor includes an air detector, wherein the environmental state information includes air quality, and the cloud server activates the air-conditioning device according to the air quality.

In an embodiment of the present invention, the aforementioned health management system further includes a temperature adjustment device. The temperature adjustment device is communicatively connected to the cloud server, wherein the environmental state sensor includes an environmental thermometer, wherein the environmental state information includes an environmental temperature, and the cloud server activates the temperature adjustment device according to the environmental temperature.

In an embodiment of the present invention, the above-mentioned local server further decides to use the physiological state sensor to measure the physiological state information of the person according to at least one of time information, ambient temperature or air quality.

In an embodiment of the present invention, the above-mentioned local server determines the time that the person stays at the preset location in the specific space based on the location information and the time information, and uses the physiology corresponding to the preset location in response to the time being greater than the time threshold. The state sensor measures the physiological state information of the personnel.

In an embodiment of the present invention, the aforementioned 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 A 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.

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

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

In an embodiment of the present invention, the above-mentioned positioning system prestores a magnetic fingerprint corresponding to a specific space, wherein the positioning system radiates magnetic signals through the second wireless transceiver, receives the magnetic signals through the first wireless transceiver, and according to the first wireless transceiver The magnetic signal received by the transceiver and the magnetic fingerprint generate position information.

In an embodiment of the present invention, the aforementioned health management system further includes a wearable device, wherein the positioning system includes a nine-axis sensor provided on the wearable device, and the positioning system uses the nine-axis sensor to measure the wearable device. The mobile information of the personnel of the device, and the location information is generated based on the mobile information.

In an embodiment of the present invention, the aforementioned movement information includes at least one of the following: current position, speed, heading, or magnetic strength in a specific direction.

In an embodiment of the present invention, the aforementioned cloud server transmits a physiological status report to the terminal device that sent the access request in response to receiving the access request.

The health management method of the present invention is suitable for monitoring the physiological state of a person in a specific space, including: measuring the position information of the person; determining the physiological state information of the measuring person according to the position information; and generating a physiological state report based on the physiological state information.

Based on the above, the present invention can guide the user to understand the bad images produced by the blooming habit without infringing on the user's privacy, thereby preventing the occurrence of diseases (such as cardiovascular disease or brain disease).

The occurrence of cardiovascular disease or brain disease can be predicted by some early signs. Take cardiovascular disease as an example. When the water in the blood becomes less and the blood becomes thicker, the blood vessels are easily blocked. Therefore, the water in the blood can be used as a leading indicator for predicting cardiovascular disease. On the other hand, long-term lack of good quality sleep can easily cause the beta-amyloid (Beta-amyloid) produced by cranial nerves to be metabolized and gradually accumulate. The accumulated β-amyloid protein may hinder the transmission of cranial nerve signals and cause the decline or death of brain cells. After the hippocampal gyrus is affected by β-amyloid to a certain extent, the hippocampal gyrus will not recover. Therefore, the proportion of high-quality sleep can be used as a leading indicator for predicting brain disease. In addition, after the patient has brain disease, the patient may begin to slurred speech (indirectly affects the ability to chew), or the patient's gait may change. The brain waves of the damaged area of the brain nerve of the patient will also change.

The present invention can predict the risk of brain disease or cardiovascular disease based on some early signs or leading indicators, thereby prompting users to pay attention to their own physiological state. FIG. 1 shows a schematic diagram of a health management system 10 according to an embodiment of the present invention. The health management system 10 can monitor the physiological state of persons in a specific space around the clock to collect physiological state information or environmental state information of the persons when a major event occurs. The specific space may include an indoor space or an outdoor space. The health management system 10 can also analyze the collected physiological state information or environmental state information to determine whether to issue an alarm, so as to guide users to understand the adverse effects of living habits, prevent the occurrence of diseases, or urgently call for help from other personnel to assist those in need. personnel.

The health management system 10 may include a local server 100, a cloud server 200, a positioning system 300, a physiological state sensor 400, a wearable device 450, an environmental state sensor 500, an air conditioning device 600, and a temperature adjustment device 700. The local server 100 can be communicatively connected to the cloud server 200, the positioning system 300, the physiological state sensor 400, and the environmental state sensor 500, and can be connected by the positioning system 300, the physiological state sensor 400 or the environmental state sensor The data collected by 500 is forwarded 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), microprocessor, or digital signal processing Digital signal processor (DSP), programmable controller, application specific integrated circuit (ASIC), graphics processing unit (GPU), image signal processor (ISP) ), image processing unit (IPU), arithmetic logic unit (ALU), complex programmable logic device (CPLD), field programmable gate array (field programmable gate array) , FPGA) or other similar components or a combination of the above components. The processor 110 may be coupled to the storage medium 120 and the transceiver 130, and access and execute multiple modules and various application programs 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), or flash memory. , Hard disk drive (HDD), solid state drive (solid state drive, SSD) or similar components or a combination of the above components, which are used to store multiple modules or various application programs that can be executed 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, up or down frequency conversion, filtering, amplification, and the like. The local server 100 can 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 conditioning device 600 and the temperature adjustment device 700, and analyze the data from the local server 100 to control the air conditioning device 600 or the temperature adjustment device 700 according to the data. FIG. 3 shows a schematic diagram of a cloud server 200 according to an embodiment of the invention. The cloud server 200 may include a processor 210, a storage medium 220, and a transceiver 230.

The processor 210 is, for example, a central processing unit, or other programmable general-purpose or special-purpose micro-control units, microprocessors, digital signal processors, programmable controllers, special-application integrated circuits, and graphics processors , Image signal processor, image processing unit, arithmetic logic unit, complex programmable logic device, field programmable logic gate array or other similar components or a combination of the above components. The processor 210 can be coupled to the storage medium 220 and the transceiver 230, and access and execute multiple modules and various application programs stored in the storage medium 220.

The storage medium 220 is, for example, any type of fixed or removable random access memory, read-only memory, flash memory, hard disk, solid state disk or similar components or a combination of the above components, and is used for Multiple modules or various application programs that can be executed by the processor 210 are stored.

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, up or down frequency conversion, filtering, amplification, and the like. The cloud server 200 can be communicatively connected to the local server 100, the air conditioning device 600, and the temperature adjustment device 700 through the transceiver 230.

In one embodiment, the cloud server 200 can transmit an alarm associated with physiological state information or environmental state information to an external electronic device through the transceiver 230. For example, the cloud server 200 may receive an access request from the user's terminal device through the transceiver 230, and send a physiological state report related to the physiological state information to the terminal device to prompt the user whether his physiological state has occurred abnormal. Alternatively, the cloud server 200 may automatically transmit the physiological state report to the preset terminal device after generating the physiological state report. For another example, the cloud server 200 may send alarms related to physiological status information to the terminal devices of medical staff or firefighters through the transceiver 230, so as to prompt the medical staff to help people with abnormal physiological conditions. For another example, the cloud server 200 may send an alarm related to environmental status information (for example, the ambient temperature is too high) to the firefighters through the transceiver 230, so as to remind the firefighters to put out the fire.

The positioning system 300 is used to measure the position information of persons in a specific space. FIG. 4 shows a schematic diagram of a positioning system 300 according to an embodiment of the present 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 is, for example, a central processing unit, or other programmable general-purpose or special-purpose micro-control units, microprocessors, digital signal processors, programmable controllers, special-application integrated circuits, and graphics processors , Image signal processor, image processing unit, arithmetic logic unit, complex programmable logic device, field programmable logic gate array or other similar components or a combination of the above components. The processor 310 may be coupled to the storage medium 320 and the transceiver 330, and access and execute multiple modules and various application programs stored in the storage medium 320.

The storage medium 320 is, for example, any type of fixed or removable random access memory, read-only memory, flash memory, hard disk, solid state disk or similar components or a combination of the above components, and is used for Multiple modules or various application programs that can be executed by the processor 310 are stored.

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, up or down frequency conversion, filtering, amplification, and the like. The transceiver 330 can be coupled to the wireless transceiver 340, the wireless transceiver 350, the wireless transceiver 360, the wireless transceiver 370, and the nine-axis sensor 380. In addition, the positioning system 300 can also be communicatively connected to the local server 100 through the transceiver 330.

The wireless transceiver 340, the wireless transceiver 350, the wireless transceiver 360, and the wireless transceiver 370 may have the function of transmitting or receiving wireless signals. The wireless transceiver 340 may be installed in the wearable device 450 or in a portable device held by the user (for example, a smart phone). The wireless transceiver 350, the wireless transceiver 360, and the wireless transceiver 370 may be respectively disposed at different positions in a specific space. For example, the wireless transceiver 350, the wireless transceiver 360, and the wireless transceiver 370 may be respectively installed in multiple lamps at different positions on the ceiling, but the present invention is not limited thereto.

In one embodiment, the processor 310 of the positioning system 300 may transmit signals through the wireless transceiver 340, and may receive the signals through the wireless transceiver 350, the wireless transceiver 360, and the wireless transceiver 370 to perform triangulation measurement, thereby generating corresponding Location information on the wearable device 450. For example, the processor 310 may determine the wireless transceiver 340 and the wireless transceiver 350 (or the wireless transceiver 360, the wireless transceiver 370) according to the received signal strength indication (RSSI) of the received signal. The distance between the two, so that the triangulation measurement is performed 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 an embodiment, the processor 310 of the positioning system 300 may transmit multiple signals through the wireless transceiver 350, the wireless transceiver 360, and the wireless transceiver 370, and may receive the multiple signals through the wireless transceiver 340 to execute Triangulation measurement to generate location information corresponding to the wearable device 450. The positioning system may send 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 an embodiment, the storage medium 320 of the positioning system 300 may prestore a magnetic fingerprint corresponding to a specific space. The positioning system 300 can transmit magnetic signals through the wireless transceiver 350, the wireless transceiver 360, or the wireless transceiver 370, and can receive the magnetic signals through the wireless transceiver 340. The processor 310 of the positioning system 300 can determine the location information corresponding to the wearable device 450 based on the magnetic signal received by the wireless transceiver 340 and the magnetic fingerprint in a specific space.

The location information generated by the positioning system 300 can be used to provide navigation functions. For example, after the cloud server 200 obtains location information, if a terminal device sends an access request to the cloud server 200, the processor 210 of the cloud server 200 may send the location information to the terminal device through the transceiver 230 . Alternatively, the processor 210 first generates navigation information based on the location information, and then transmits the navigation information to the terminal device through the transceiver 130. In order to facilitate the integration with other outdoor positioning system map data, by continuously providing navigation functions for people moving between various buildings or outdoor spaces, the position information generated by the positioning system 300 can be in the form of a geodetic coordinate system or latitude and longitude. Present.

In one embodiment, the nine-axis sensor 380 of the positioning system 300 may be provided in the wearable device 450, where the nine-axis sensor 380 may include a gyroscope for measuring angular velocity, an accelerometer for measuring acceleration, and For magnetometers that measure magnetic fields. The processor 310 of the positioning system 300 can measure the movement information of the person wearing the wearable device 450 through the nine-axis sensor 380, and generate position information based on the movement information. The movement information can include the current position, speed, heading, or magnetic strength in a specific direction.

1, the physiological state sensor 400 may be provided on a wearable device 450 to measure the physiological state information of a person wearing the wearable device 450, where the wearable device 450 is, for example, a smart bracelet, a head-mounted device, or a neck strap The wearable device 450 may include a wireless transceiver for transmitting or receiving signals. In addition, the physiological state sensor 400 can also be directly worn by a person. The physiological state sensor 400 may include a nine-axis sensor 401, a thermometer 402, a photoplethysmography (PPG) sensor 403, an electroencephalography (EEG) sensor 404, and an electromyography (electromyography, EMG) sensor 405 and an electronic patch (electrode pad) 406, wherein the nine-axis sensor 401 and the nine-axis sensor 380 can be the same or different nine-axis sensors.

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

If the wearable device 400 is a shoe, the nine-axis sensor 401 can measure the user's gait information, where the gait information may include time gait parameters and spatial gait parameters. Time parameters may include walking rate, stride frequency, step time, stride time, swing period, standing period, one-foot support time, or two-foot support time, etc. The gait cycle is the elapsed time between the first touch and the second touch of the first foot. The walking rate is the distance travelled in the direction of travel per second. Cadence is the number of steps taken per minute. The stepping time is the elapsed time from the first touch of the first foot to the first touch of the second foot. The stride time is the elapsed time from the first touch of the first foot to the second touch of the first foot. The swing period is the period during which the first foot leaves the ground in the gait cycle (ie, stride time) (unit is the percentage of the gait cycle). The stance period is the period during which the first foot touches the ground in the gait cycle (unit is the percentage of the gait cycle). The support time of one foot is the time elapsed from when the first foot is off the ground to when the first foot touches the ground. The support time for both feet is the time between the first foot off the ground and the second foot touching the ground plus the time between the second foot off the ground and the first foot touching the ground.

Spatial gait parameters can include step width, step length, stride length, supporting base, or inner/outer eight, etc. The step width is the distance between the heel of the first foot and the heel of the second foot. The step length is the distance in the travel direction from when the heel of the first foot touches the ground to the heel of the second foot when walking. The stride length is the distance that the heel of the first foot travels in the direction of travel from the first touch to the second touch of the ground during walking. The supporting base is the distance between the projection of the heel of the footprint of the first foot on the travel path and the projection of the heel of the footprint of the second foot on the travel path. Inner and outer eight is the angle between the path of travel and the midline of the footprint.

The cloud server 200 may generate a physiological state report including warning messages related to the risk of deterioration of metabolism or the risk of brain disease based on the gait information. For example, the cloud server 200 can determine the amount of exercise of the user based on the gait information, thereby assessing the risk of deterioration of the user's metabolism based on the amount of exercise. The cloud server 200 may further determine the user's blood pressure, blood oxygen, or blood fat based on the risk of deterioration of metabolism. If the user's blood pressure, blood oxygen, or blood fat exceeds the standard, the cloud server 200 can generate a physiological state report that includes the corresponding warning message.

When a person's brain degenerates, the person's step length will gradually shorten and the step width will gradually increase. Accordingly, the cloud server 200 can determine whether the person is at risk of brain disease according to the step length or the step width. FIG. 5 is a schematic diagram showing step posture information according to an embodiment of the present invention. The step posture information may include step length and step width. The cloud server 200 may generate a physiological state report including warning messages related to the risk of brain disease in response to the step length being less than the step length 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 can measure the displacement information of the user's chest cavity. The cloud server 200 can determine the user's breathing status or sleep quality based on the displacement information, and generate a physiological state report including warning messages related to the risk of deterioration of metabolism based on the displacement information.

1, the thermometer 402 can measure the body temperature of the user. Hyperthermia may cause cardiovascular disease. In response to this, the cloud server 200 can generate a physiological status report including warning messages related to cardiovascular disease in response to the measured body temperature being greater than the body temperature threshold.

The photoplethysmography sensor 403 can measure the user's heart rate variability (HRV), blood oxygen, or blood pressure. In one embodiment, the cloud server 200 may generate a physiological status report including warning messages related to the risk of brain disease or cardiovascular disease 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 state report including warning messages related to the risk of brain disease, cardiovascular disease, or metabolic deterioration according to the heart rhythm variability. Specifically, the cloud server 200 can determine that there is a risk of brain disease, a risk of cardiovascular disease, or a risk of metabolic deterioration through multiple indicators calculated based on heart rhythm variability, where the multiple indicators can include the standard deviation of the normal sinus heartbeat interval. (Standard deviation of NN intervals, SDNN), root mean square successive differences (RMSSD), total power (TP), low frequency power (LF), High frequency power (high frequency power, HF) or low frequency and high frequency ratio (LF/HF).

The EEG sensor 404 can measure the EEG of the user. The EEG may include multiple waves such as Alpha (α) wave, Beta (β) wave, Gamma (γ) wave, Delta (δ) wave, Theta (θ) wave, Lambda (λ) wave, or P300 wave. The cloud server 200 can determine the secretion of dopamine in the user's brain according to the waveforms of the multiple waves, and then generate a physiological status report including warning messages related to the risk of brain disease based on the determination result.

The myoelectric sensor 405 can measure the user's electromyogram. For example, brain lesions may affect the user's chewing ability, so the electromyogram of the user's masticatory muscles may change due to brain lesions. Therefore, the cloud server 200 can generate a physiological state report including warning messages related to the risk of brain disease based on the electromyogram.

The electronic patch 406 can be attached to the abdominal cavity of the user and can measure the bowel sound of the user. The cloud server 200 can generate a physiological status report including warning messages related to the risk of deterioration of metabolism based on bowel sounds.

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

The local server 100 can determine whether to use the physiological state sensor 400 to measure the physiological state information of the person or the environmental state sensor 500 to measure the environmental state information according to at least one of location information, time information, environmental temperature, or air quality. The processor 110 of the local server 100 can send physiological state information or environmental state information to the cloud server 200 through the transceiver 130, so that the processor 210 of the cloud server 200 generates a physiological state report based on the physiological state information, or according to the environment The status information determines whether to activate the air conditioning device 600 or the temperature conditioning device 700. 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 can determine whether to activate a sensor (physiological state sensor 400 or environmental state sensor 500) according to the mapping table and the type of sensor to be activated, and can decide whether to activate according to the mapping table An air conditioning device 600 or a temperature adjustment device 700.

In one embodiment, the local server 100 can determine the time of the person’s preset location in a specific space based on the location information and the time information, and can respond to the time when the time is greater than the time threshold or the time is within a specific time interval The physiological state sensor 400 corresponding to the predetermined position is used to measure the physiological state information of the person. Accordingly, the local server 100 can monitor the physiological state of the person all-weather, and control the physiological state sensor 400 to measure the physiological state information when an important activity occurs. When no important activities occur, the physiological state sensor 400 can be kept in a closed state to save power consumption. Table 1 Location information Time interval or time threshold Air quality or ambient temperature Device type to start Bedroom 23:00~06:00 EEG sensor 404 Bedroom 23:00~06:00 25~28℃ Temperature adjustment device 700 living room 10 minutes Environmental thermometer 502 bathroom ＞60℃ Thermostat 402 bathroom 30 minutes Photoplethysmography sensor 403 kitchen PM2.5 35μg/m^3 Air conditioning device 600

Taking Table 1 as an example, the mapping table pre-stored in the storage medium 120 of the local server 100 can store the information shown in Table 1. If the local server 100 determines that the person is staying in the dormitory during the time interval 23:00-06:00, the local server 100 may decide to activate the EEG sensor 404 to measure the person’s EEG, so that the person’s EEG can be measured according to the brain The electrogram judges the sleep quality of personnel. If the ambient temperature is not between 25-28°C, the local server 100 may decide to activate the temperature adjusting device 700 to adjust the ambient temperature to between 25-28°C. If the local server 100 determines that the person stays in the living room for more than 10 minutes, the local server 100 may decide to enable the ambient thermometer 502 to measure the ambient temperature of the living room. 1 The local server 100 can further determine whether to activate the temperature adjustment device 700 according to the ambient temperature. If the local server 100 determines that the person is located in the bathroom and the ambient temperature of the bathroom is greater than 60° C., the local server 100 can activate the thermometer 402 to measure the person's body temperature. The local server 100 may further determine whether the person's body temperature is too high according to the temperature. If the local server 100 determines that the person stays in the bathroom for more than 30 minutes, the local server 100 can activate the photoplethysmography sensor 403 to measure the person's blood pressure. The local server 100 may further determine whether the person may be unconscious due to high blood pressure based on the blood pressure. If the local server 100 determines that the person is located in the kitchen and the PM2.5 of the kitchen is greater than 35 μg/m^3, the local server 100 can activate the air conditioning device 600 to filter the air and improve the air quality.

FIG. 6 shows a flowchart of a health management method according to an embodiment of the present invention, wherein the health management method can be implemented by the health management system 10 shown in FIG. 1. In step S601, the location information of the person is measured. In step S602, the physiological state information of the measuring person is determined according to the location information. In step S603, a physiological state report is generated based on the physiological state information.

In summary, the health management system of the present invention may include a variety of physiological state sensors and environmental state sensors. The health management system can integrate these sensors, and monitor the physiological status and environmental status of people in a specific space through the sensors, so as to collect big data. The physiological state sensor can be set on the wearable device to accurately measure the physiological state information of the person. The health management system can continuously monitor the life trajectory of a person through the positioning system, and start to measure and analyze the physiological state information of the person when important activities occur. The health management system can predict the physiological abnormalities that may occur in the personnel by analyzing the physiological state information and send out real-time alarms to avoid missing the golden rescue time. Therefore, the present invention can guide the user to understand the adverse effects of living habits without infringing on the privacy of the user, thereby preventing the occurrence of diseases (for example, the risk of cardiovascular disease or the risk of brain disease).

10: Health Management System 100: local server 110, 210, 310: processor 120, 220, 320: storage media 130, 230, 330: transceiver 200: Cloud server 300: positioning system 340, 350, 360, 370: wireless transceiver 380: Nine-axis sensor 400: Physiological State Sensor 401: Nine-axis sensor 402: Thermometer 403: Photoplethysmography Sensor 404: EEG sensor 405: Muscle Sensor 406: electronic patch 450: wearable device 500: Environmental status sensor 501: Air Detector 502: Ambient Thermometer 600: Air conditioning device 700: Temperature adjustment device S601, S602, S603: steps

Fig. 1 shows a schematic diagram of a health management system according to an embodiment of the present invention. Fig. 2 shows a schematic diagram of a local server according to an embodiment of the present invention. FIG. 3 shows a schematic diagram of a cloud server according to an embodiment of the invention. Fig. 4 shows a schematic diagram of a positioning system according to an embodiment of the present invention. FIG. 5 is a schematic diagram showing step posture information according to an embodiment of the present invention. Fig. 6 shows a flowchart of a health management method according to an embodiment of the present invention.

S601, S602, S603: steps

Claims (34)

A health management system suitable for monitoring the physiological state of people in a specific space, including: Physiological state sensor; Positioning system to measure the position information of the said person; A local server communicatively connected to the positioning system of the physiological state sensor, wherein the local server decides to use the physiological state sensor to measure the physiological state information of the person according to the position information; and A cloud server is communicatively connected to the local server, wherein the cloud server generates a physiological state report according to the physiological state information. The health management system as described in claim 1, further including: A wearable device, wherein the physiological state sensor is provided on the wearable device, so as to measure the physiological state information of the person wearing the wearable device. The health management system according to claim 2, wherein the wearable device includes shoes, wherein the physiological state sensor includes a nine-axis sensor, and the physiological state information includes step information. The health management system according to claim 2, wherein the physiological state sensor includes a photoplethysmographic sensor, and the physiological state information includes heart rhythm variability and blood pressure. The health management system according to claim 2, wherein the physiological state sensor includes an electroencephalogram sensor, and the physiological state information includes an electroencephalogram. The health management system according to claim 2, wherein the physiological state sensor includes a thermometer, and the physiological state information includes body temperature. The health management system according to claim 2, wherein the physiological state sensor includes a myoelectric sensor, and the physiological state information includes an electromyogram. The health management system according to claim 2, wherein the physiological state sensor includes an electronic patch, and the physiological state information includes bowel sounds. The health management system according to claim 2, wherein the wearable device includes a neck-mounted device, wherein the physiological state sensor includes a nine-axis sensor, and the physiological state information includes displacement information. The health management system according to claim 3, wherein the cloud server generates the physiological state report including warning messages related to the risk of brain disease or the risk of deterioration of metabolism based on the gait information. The health management system according to claim 10, wherein the step posture information includes a step length and a step width, and the cloud server responds to the step length being less than the step length threshold or the step width being greater than the step width threshold. The physiological state report including the warning message related to the risk of brain disease is generated. The health management system according to claim 4, wherein the cloud server generates the physiological state report including warning messages related to the risk of brain disease or cardiovascular disease in response to the blood pressure being greater than a blood pressure threshold. The health management system according to claim 4, wherein the cloud server generates, according to the heart rhythm variability, the physiological state report including warning messages related to brain disease risk, cardiovascular disease risk, or metabolic deterioration risk. The health management system according to claim 5, wherein the cloud server generates, according to the electroencephalogram, the physiological state report including warning messages related to the risk of brain disease. The health management system according to claim 6, wherein the cloud server generates the physiological state report including a warning message related to the risk of cardiovascular disease in response to the body temperature being greater than a body temperature threshold. The health management system according to claim 7, wherein the cloud server generates the physiological state report including warning messages related to the risk of brain disease based on the electromyogram. The health management system according to claim 8, wherein the cloud server generates the physiological state report including a warning message related to the risk of deterioration of metabolism based on the bowel sound. The health management system according to claim 9, wherein the cloud server generates the physiological state report including a warning message related to the risk of deterioration of metabolism based on the displacement information. The health management system according to claim 4, wherein the wearable device includes a smart bracelet, a head-mounted device or a neck-mounted device. The health management system according to claim 5, wherein the wearable device includes a head-mounted device. The health management system according to claim 6, wherein the wearable device includes a smart bracelet, a head-mounted device or a neck-mounted device. The health management system as described in claim 1, further including: An environmental state sensor is communicatively connected to the local server, wherein the local server uses the environmental state sensor to measure environmental state information. The health management system described in claim 22 further includes: An air conditioning device, which is communicatively connected to the cloud server, wherein the environmental state sensor includes an air detector, wherein the environmental state information includes air quality, and the cloud server activates the air quality according to the air quality述 Air conditioning device. The health management system described in claim 22 further includes: A temperature adjustment device is communicatively connected to the cloud server, wherein the environmental state sensor includes an environmental thermometer, wherein the environmental state information includes environmental temperature, and the cloud server activates the temperature according to the environmental temperature Adjusting device. The health management system according to claim 1, wherein the local server further determines to use the physiological state sensor to measure the physiological state of the person according to at least one of time information, ambient temperature, or air quality Information. The health management system according to claim 25, wherein the local server determines the time that the person stays in the predetermined position in the specific space based on the location information and the time information, and responds to the When the time is greater than the time threshold, the physiological state sensor corresponding to the preset position is used to measure the physiological state information of the person. The health management system according to claim 1, further comprising 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 provided 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. The health management system according to claim 27, wherein the positioning system transmits signals through the first wireless transceiver, and transmits signals through the second wireless transceiver, the third wireless transceiver, and the fourth wireless transceiver. The transceiver receives the signal to perform triangulation measurement to generate the position information. The health management system according to claim 27, wherein the positioning system transmits a second signal through the second wireless transceiver, transmits a third signal through the third wireless transceiver, and transmits a third signal through the fourth wireless transceiver A fourth signal is transmitted, and the second signal, the third signal, and the fourth signal are received through the first wireless transceiver to perform triangulation measurement to generate the position information. The health management system according to claim 27, wherein the positioning system prestores a magnetic fingerprint corresponding to the specific space, wherein the positioning system radiates magnetic signals through the second wireless transceiver, and passes through the first wireless The transceiver receives the magnetic signal, and generates the position information according to the magnetic signal and the magnetic fingerprint received by the first wireless transceiver. The health management system according to claim 1, further comprising a wearable device, wherein the positioning system includes a nine-axis sensor provided on the wearable device, wherein The positioning system measures the movement information of the person wearing the wearable device through the nine-axis sensor, and generates the position information based on the movement information. The health management system according to claim 31, wherein the mobile information includes at least one of the following: The current position, speed, heading, or the strength of the magnetic force in a specific direction. The health management system according to claim 1, wherein the cloud server transmits the physiological status report to the terminal device that sent the access request in response to receiving the access request. A health management method that is suitable for monitoring the physiological state of people in a specific space, including: Measure the location information of the person; Deciding to measure the physiological state information of the person according to the location information; and A physiological state report is generated based on the physiological state information.

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