TWI724466B - Analysis system for sleep quality and health - Google Patents

Abstract

The invention provides a sleep quality and health analysis system. The sleep quality and health analysis system includes a sleep quality detecting device and a server. The sleep quality detecting device includes a first sensor module and a second sensor module. When the user is lying on the sleep quality detecting device, the first sensor module and the second sensor module respectively capture a first type sensing signal and a second type sensing signal of the user. The server includes an analysis module. The analysis module obtains a plurality of physiological data of the user according to the received plurality of first type sensing signals and the plurality of second type sensing signals. The analysis module calculates a plurality of physiological data estimates based on the plurality of physiological data. The analysis module provides a health condition suggestion message based on the plurality of physiological data and the plurality of physiological data estimates.

Description

Sleep quality and health status analysis system

The present invention relates to a sleep quality and health status analysis system, in particular to a sleep quality and health status analysis system using record data of a mobile device and a wearable device.

Traditional sleep quality testing usually requires going to a specific medical clinic. Coupled with the consultation of specialist doctors, not only time and space are limited, but also the current physiological data cannot be grasped in real time. The health care for users is quite limited.

Therefore, how to provide a sleep quality and health status analysis system that can continue to provide health status recommendations based on the user's physical condition without changing the user's habits has become an important issue to be solved by this business.

The technical problem to be solved by the present invention is to provide a sleep quality and health condition analysis system for the deficiencies of the prior art, including: a sleep quality detection device, including a first sensor module and a second sensor module Group, wherein, when a user lies on the sleep quality detection device, the first sensor module and the second sensor module respectively capture a first -Type sensing signal and a second-type sensing signal; a server, which is communicatively connected to the sleep quality detection device, receives the first sensing signal and the second sensing signal, the server includes: An analysis module is set in the server, and obtains a plurality of physiological data of the user according to the received plurality of the first-type sensing signals and the plurality of the second-type sensing signals The analysis module calculates a plurality of physiological data estimated values according to the plurality of physiological data, and the analysis module provides a health condition suggestion according to the plurality of physiological data and the plurality of physiological data estimated values Message; wherein, the server pushes the health status suggestion message to a mobile device of the user.

One of the beneficial effects of the present invention is that the sleep quality and health status analysis system provided by the present invention uses the measured physiological data of the user for health prediction, and can use mobile devices, wearable devices, etc. during user activities. The related physiological data of the worn health monitoring device can be fine-tuned according to the specific physiological data or related events of the user's location. Therefore, the estimated value of the physiological data of the user can be effectively predicted, and the corresponding health status suggestion information can be provided.

In order to further understand the features and technical content of the present invention, please refer to the following detailed description and drawings about the present invention. However, the provided drawings are only for reference and description, and are not used to limit the present invention.

The following are specific examples to illustrate the implementation of the “light emitting device” provided by the present invention. Those skilled in the art can understand the advantages and effects of the present invention from the content provided in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be based on different viewpoints and applications, and various modifications and changes can be made without departing from the concept of the present invention. In addition, the drawings of the present invention are merely schematic illustrations, and are not drawn according to actual size, and are stated in advance. The following embodiments will further describe the related technical content of the present invention in detail, but the provided content is not intended to limit the protection scope of the present invention.

It should be understood that although terms such as "first", "second", and "third" may be used herein to describe various elements or signals, these elements or signals should not be limited by these terms. These terms are mainly used to distinguish one element from another, or one signal from another signal. In addition, the term "or" used in this text should include any one or a combination of more of the associated listed items depending on the actual situation.

[First Embodiment]

Referring to FIG. 1, FIG. 2, FIG. 3, FIG. 4, and FIG. 5, FIG. 1 is a schematic diagram of a sleep quality and health status analysis system according to an embodiment of the present invention. FIG. 2 is a schematic diagram of the sleep quality detecting device of the present invention. FIG. 3 is a schematic diagram of the second sensor module of the present invention disposed in the first area. FIG. 4 is an analysis diagram of the correlation analysis of the physiological data of the user in the first time interval and the various activities of the user in the second time interval by the analysis module in the embodiment of the present invention. FIG. 5 is a schematic diagram of the user's itinerary in the second time interval in the present invention.

In this embodiment, the sleep quality and health status analysis system SYS1 includes a sleep quality detection device 1, a server 2, a mobile device 3, and a wearable device 5. The server 2 can be a local server or a remote server, which is not limited in the present invention. In this embodiment, the sleep quality detecting device 1 is a mattress device. In other embodiments, the sleep quality detecting device 1 may be a bed pack set on a mattress device. In the present invention, it is not Do restrictions.

Therefore, in this embodiment, the sleep quality detecting device 1 includes a mattress body 10, an airbag module 11, a control module 12, a first sensor module 13, and a second sensor.器module 14. The first sensor module 13 includes pressure sensors 13A-1 and 13A-2 and at least gyroscope sensors 13B-1 and 13B-2. The second sensor module 14 is disposed in the first area 14A and the second area 14B. The first area 14A and the second area 14B are respectively provided with a heart rate sensor 141, a blood pressure sensor 142, a blood oxygen concentration sensor 143, and a non-invasive blood glucose sensor 144. That is, in this embodiment, the second sensor module 14 includes two heart rate sensors 141, two blood pressure sensors 142, two blood oxygen concentration sensors 143, and two non-invasive blood glucose sensors.测器144. The control module 12 is electrically connected to the first sensor module 13 and the second sensor module 14. In this embodiment, the control module 12 includes a pump and an inflator valve, which are used to connect the airbag module 11 to inflate and deflate the airbag module 11. In other embodiments, when the sleep quality detection device 1 is a bed pack, the sleep quality detection device 1 may only include the first sensor module 13 and the second sensor module 14.

The user can lie down on the sleep quality detection device 1 in a first time interval T1 to sleep and rest. The first sensor module 13 and the second sensor module 14 can respectively capture the first type sensing signal and the second type sensing signal. In this embodiment, the first type of sensing signal belongs to a continuous sensing signal in the first time interval T1, such as a pressure sensing signal and a gyroscope sensing signal. The second type of sensor signal is a discontinuous sensor signal. The user can pass the second sensor module at the start time (before going to bed) and the end time (before waking up) when lying on the sleep quality detecting device 1. The heart rate sensor 141, blood pressure sensor 142, blood oxygen concentration sensor 143, and non-invasive blood glucose sensor 144 of group 14 perform heart rate, blood pressure, blood oxygen concentration, and blood glucose testing.

In this embodiment, the second sensor module 14 further includes a temperature sensor 145, a humidity sensor 146, and an allergen sensor 147.

The temperature sensor 145, the humidity sensor 146, and the allergen sensor 147 may be arranged in a similar area to detect the temperature, humidity, and the breeding of allergen microorganisms of the sleep quality detecting device 12. For example, both sides of the sleep quality detecting device 1.

In this embodiment, the allergen sensor 147 is a sensor manufactured by Microelectromechanical Systems (MEMS), which is used to detect various human allergens, such as dust mites, bacteria, mold, or hair. . The allergen sensor will detect and sample allergens in the set area. At the same time, the sensing signals of the temperature sensor 145 and the humidity sensor 146 are sent to the analysis module 21 of the server 2 together. The analysis module 21 calculates the allergen concentration change based on the sensing signal. The method of allergen concentration is to firstly detect multiple allergen concentrations in a sensing time interval to generate multiple allergen concentrations. Then, these allergen concentrations are averaged to generate the current allergen concentration, or one of the allergen concentrations is selected as the current allergen concentration. The method for selecting the concentration of one of the allergens may be to select the concentration of the allergen at an intermediate value, which is not limited in the present invention.

Furthermore, in this embodiment, the current temperature sensing method firstly senses the temperature of the surrounding environment multiple times in a sensing time interval to generate multiple environmental temperatures. Then, these ambient temperatures are averaged to generate the current temperature, or one of the ambient temperatures is selected as the current temperature. The method for selecting one of the ambient temperatures may be to select the ambient temperature at an intermediate value, which is not limited in the present invention. Similarly, the current humidity sensing method is roughly similar to the current temperature sensing method, so it will not be repeated here.

The server 13 calculates the possible change curve of the allergen according to the allergen sensing signal, the temperature sensing signal, and the humidity sensing signal, and can further determine the date when the allergen may exceed the standard based on the allergen change curve, so as to provide a notification signal To the user, remind the user of the time to wash the mattress.

The server 2 is communicatively connected to the sleep quality detecting device 1 to receive the first type sensing signal and the second type sensing signal. In this embodiment, the server 2 communicates with the sleep quality detection device 1 through Wi-Fi.

In this embodiment, the server 2 includes an analysis module 21, a storage module 22, and a communication module 23. The server 2 uses the communication module 23 to communicate with the sleep quality detecting device 1 to receive the first type sensing signal and the second type sensing signal.

The analysis module 21 is set in the server 2 and calculates a sleep quality evaluation value based on the first type sensing signal. The first type sensing signal includes a pressure sensing signal and a gyroscope sensing signal.

In addition, the analysis module 21 can also calculate the physiological data of the user based on the heart rate sensing signal, blood pressure sensing signal, and blood oxygen concentration sensing signal of the second type sensing signal. In this embodiment, the analysis module 21 provides the user's heart rate value, blood pressure value (including systolic blood pressure, diastolic blood pressure), and maximum oxygen content. Furthermore, the analysis module 21 will further calculate the user's possible physiological data for the next day, including the heart rate value, blood pressure, etc., based on the user's physiological data (including heart rate value, blood pressure value, blood oxygen content, blood sugar, etc.). Numerical value, blood oxygen content, blood glucose value, etc. That is, the analysis module 21 calculates in advance the estimated value of the physiological data of the user. On the other hand, the analysis module 21 predicts the physiological data of the user tomorrow based on the physiological data of the user currently obtained.

Furthermore, the multiple user physiological data calculated by the analysis module 21 all have their own time tags. The physiological data obtained on the same day also has the same time label. The physiological data estimated value predicted by the analysis module 21 will be marked with a time label of the next day. The analysis module 21 provides health status suggestions based on the estimated physiological data.

The analysis module 21 compares the physiological data with the same time label and the estimated physiological data to obtain a physiological data correction value. Then, the analysis module 21 performs calculations based on the physiological data correction value and a plurality of physiological data to obtain an estimated value of the physiological data with a different time stamp. That is, in this embodiment, the analysis module 21 is an intelligent analysis module with a learning function.

The storage module 22 is electrically connected to the analysis module 21. The storage module 22 stores a map data. In this embodiment, the analysis module 21 may be a central processing unit (CPU), an artificial intelligence processor, or an expert system.

The mobile device 3 can communicate with the server 2 through a fourth-generation mobile communication protocol or a fifth-generation mobile communication protocol. The mobile device 3 communicates with the wearable device 5. In this embodiment, the mobile device 3 uses a Bluetooth protocol to communicate with the wearable device 5. In other embodiments, the mobile device 3 may use other communication protocols to communicate with the wearable device 5, which is not limited in the present invention. The wearable device 5 may be a wearable health bracelet device, a wearable watch device, a wearable glasses device or a wearable armband, which is not limited in the present invention. In this embodiment, the mobile device 3 can also be communicatively connected to a body fat meter 6 to receive the weight data and body fat data of the user of the body fat meter 6, so as to further analyze the physical condition of the user.

The mobile device 3 includes a control module 30, a positioning module 31, a mobile storage module 32, a mobile communication module 33, and a display module 34. The control module 30 is electrically connected to the positioning module 31, the mobile storage module 32, the mobile communication module 33 and the display module 34.

The positioning module 31 detects multiple locations of the mobile device 3 at multiple times. In this embodiment, the positioning module 31 is a global positioning system positioning module, that is, the positioning module 31 continuously or periodically detects the position of the mobile device 3. And the positioning module 31 will also record the detection time at the same time. The mobile device 3 first stores the location and recording time of the mobile device 3 detected by the positioning module 31 in the mobile storage module 32. Then the mobile device 3 will use the mobile communication module 33 to send information such as the location and recording time of the mobile device 3 to the server 2.

Then, the server 2 compares the multiple locations of the mobile device at multiple times and the corresponding time information with the map data in the storage module 22 of the server 2 to determine at least one activity of the user at each location .

The wearable device 5 records a piece of health data of the user, for example, daily walking steps, ambulatory heart rate data, ambulatory blood pressure data, etc. In this embodiment, the mobile device 3 can be communicatively connected to multiple wearable devices, and the number of wearable devices can be adjusted according to actual needs, which is not limited in the present invention.

When the wearable device 5 is in communication with the mobile device 3, the analysis module 21 of the server 2 provides a health data sharing request message to the wearable device 5 through the mobile device 3 to obtain the user's health data recorded by the wearable device 5 . When the server 2 receives the health data recorded by the wearable device 5, the analysis module 21 of the server 2 estimates according to the multiple physiological data and multiple physiological data of the user recorded by the sleep quality detection device 1 Value and the health data provided by the wearable device 5 to provide a health status suggestion message to the mobile device 3.

In this embodiment, the analysis module 21 will fine-tune the physiological data estimated value previously described by the event detected by the mobile device 3 and the wearable physiological data provided by the wearable device 5, so as to be closer to use. The actual physiological data of the person.

Please refer to FIG. 4. First, the server 2 will select a location where the user stays for more than half an hour or one hour. Then mark these locations on the map data. Then, based on various store information, traffic information, or company data near these locations, it is determined whether the user is on business, dining, or sports. For example, the first position P1, the second position P2, the third position P3, the fourth position P4, and the fifth position P5 in FIG. 4. In this embodiment, multiple locations with a residence time of less than half an hour or one hour between each location are omitted.

Furthermore, the server 2 also uses the communication module 23 to connect to at least one public database 4 to obtain weather data, traffic data, air data, and regional news data of the area where the user is located.

Then, the analysis module 21 provides a health advice message based on the user's multiple physiological data, multiple physiological data estimated values, at least one activity of the user at each location, and environmental data corresponding to each location. The environmental data includes weather data, traffic data, air data, and regional news data of the area where each location is located, which is not limited in the present invention.

In addition, referring to FIG. 5, the first position P1, the second position P2, the third position P3, the fourth position P4, and the fifth position P5 are respectively a first path W1, a second path W2, a third path W3, The fourth path W4 and the fifth path W5. The analysis module 21 can judge the user based on the time spent by the user on the first route W1, the second route W2, the third route W3, the fourth route W4, and the fifth route W5, and compare the traffic data at that time. Emotional reaction on the move. For example, anxiety, irritability, or concentration when driving on a highway may appear when a traffic jam occurs. In this embodiment, the analysis module 21 converts these emotion judgments into an emotion estimation value. As an item suggested by health conditions. In addition, in FIG. 5, the analysis module 21 also calculates possible events EV5-EV7 based on the health data provided by the wearable device 5.

Here, the analysis module 21 will perform a weight analysis of the physiological data for each event EV1-EV7, so as to fine-tune the estimated value of the physiological data. The analysis module 21 is based on the user's multiple physiological data, multiple physiological data estimated values, and at least one activity of the user at each location, as well as weather data, traffic data, air data and each location corresponding to each location. Regional news materials in your area provide a health status recommendation. The user's health status recommendations are provided to the user through the mobile device 3. In this embodiment, the health status suggestion message includes possible factors of the current physiological status and health improvement plan, possible changes in the future physiological status, and follow-up precautions, which can be adjusted according to actual needs and are not limited in the present invention.

The storage module 23 stores various activity, disease, suggestion and other parameter values corresponding to heart rate values, blood pressure values (including systolic blood pressure, diastolic blood pressure), maximum oxygen content, and sleep quality evaluation parameters, and corresponding weights. In this embodiment, the analysis module 21 uses a decision tree induction algorithm or a neural network-like algorithm to perform deduction and calculation of health status recommendations.

In this embodiment, the mobile device 3 includes a first program. The first program can receive the user's physiological data and sleep quality evaluation parameters provided by the server 2, and allow the user to use the mobile device 2 to control the sleep quality detection device 1 The airbag module 11.

As shown in FIG. 4, the analysis module 21 will create a possible event EV1-EV4 and a possible event EV5-EV7 in the second time interval T2 based on the information corresponding to the multiple locations of the user and the health data provided by the wearable device 5. , And further perform a correlation analysis with the user's physiological data S1-S4 detected in the first time interval T1, and the analysis module 21 will provide health status recommendations to the user after completing the correlation analysis. In this embodiment, the first time interval T1 and the second time interval T2 are night and day respectively. In other embodiments, the first time interval T1 and the second time interval T2 may be day and night, respectively, which is not limited in the present invention. In this embodiment, the first time interval T1 is the period during which the user lies in the sleep quality detecting device 1, and the second time interval T2 is the active time when the user leaves the mattress device 1.

In this embodiment, the analysis module 21 performs a weight analysis on the events EV1-EV7 detected by the mobile device 3 to fine-tune the estimated value of the physiological data of the user.

[Beneficial effects of the embodiment]

One of the beneficial effects of the present invention is that the sleep quality and health status analysis system provided by the present invention uses the measured physiological data of the user for health prediction, and can use mobile devices, wearable devices, etc. during user activities. The related physiological data of the worn health monitoring device can be fine-tuned according to the specific physiological data or related events of the user's location. Therefore, the estimated value of the physiological data of the user can be effectively predicted, and the corresponding health status suggestion information can be provided.

The content provided above is only the preferred and feasible embodiments of the present invention, and does not limit the scope of the patent application of the present invention. Therefore, all equivalent technical changes made by using the description and schematic content of the present invention are included in the application of the present invention. Within the scope of the patent.

SYS1: Sleep quality and health status analysis system 1: Mattress device 2: server 3: mobile device 4: Public database 5: Wearable device 6: Body fat meter 13: The first sensor module 14: The second sensor module 21: Analysis module 22: storage module 23: Communication module 30: control module 31: Positioning module 32: Mobile storage module 33: Mobile communication module 34: display module S1-S4: Physiological data EV1-EV7: events 10: Mattress body 11: Airbag module 12: Control module 13A-1, 13A-2: Pressure sensor 13B-1, 13B-2: Gyro sensor 14A: The first area 14B: second area T1: the first time interval T2: second time interval 141: Heart rate sensor 142: Blood Pressure Sensor 143: Blood oxygen concentration sensor 144: Non-invasive blood glucose sensor 145: temperature sensor 146: Humidity Sensor 147: Allergen Sensor P1: first position P2: second position P3: third position P4: Fourth position P5: Fifth position W1: first path W2: second path W3: third path W4: fourth path W5: Fifth Path

Fig. 1 is a schematic diagram of a sleep quality and health status analysis system according to an embodiment of the present invention.

FIG. 2 is a schematic diagram of the sleep quality detecting device of the present invention.

FIG. 3 is a schematic diagram of the second sensor module of the present invention disposed in the first area.

FIG. 4 is an analysis diagram of the correlation analysis of the physiological data of the user in the first time interval and the various activities of the user in the second time interval by the analysis module in the embodiment of the present invention.

FIG. 5 is a schematic diagram of the user's itinerary and activity events in the second time interval in the present invention.

SYS1: Sleep quality and health status analysis system

1: Mattress device

2: server

3: mobile device

4: Public database

5: Wearable device

6: Body fat meter

21: Analysis module

22: storage module

23: Communication module

30: control module

31: Positioning module

32: Mobile storage module

33: Mobile communication module

34: display module

Claims (10)

A sleep quality and health condition analysis system includes: a sleep quality detection device, including a first sensor module and a second sensor module, wherein a user lies in the sleep quality detection device When the device is installed, the first sensor module and the second sensor module respectively capture a first-type sensing signal and a second-type sensing signal of the user; a servo A device, which is communicatively connected to the sleep quality detection device, and receives the first type sensing signal and the second type sensing signal, the server includes: an analysis module disposed in the server, According to the received plurality of the first type sensing signals and the plurality of second type sensing signals to obtain a plurality of physiological data of the user, the analysis module is based on the plurality of physiological data A plurality of physiological data estimated values are calculated, and the analysis module provides a health status suggestion message according to the plurality of physiological data and the plurality of physiological data estimated values; wherein, the server pushes the health status Suggest a message to a mobile device of the user; wherein, each of the physiological data includes a time tag, and each estimated value of the physiological data includes a time tag; wherein, the analysis modules will have the same time The physiological data of the tag and the estimated physiological data value are compared to obtain a physiological data correction value, and the analysis module calculates according to the physiological data correction value and the plurality of physiological data to obtain An estimated value of physiological data with another time stamp. According to the sleep quality and health status analysis system described in claim 1, wherein the server is connected to the mobile device, the server includes a storage module, and the storage module stores a map data; Wherein, the mobile device includes: a positioning module that detects multiple locations of the mobile device at multiple times; and a mobile storage module that stores the multiple locations of the mobile device; A mobile communication module, the mobile device uses the mobile communication module to transmit the multiple positions to the server; wherein the server transmits the multiple positions of the mobile device at the multiple times Locations, compare the map data to determine at least one activity of the user in each of the multiple locations; wherein, the server is communicatively connected to a public database to obtain the weather of the multiple locations Data, traffic data, air data, and regional news data of the area where each of the locations is located; wherein the analysis module is based on the plurality of physiological data, the plurality of physiological estimation data, and the The at least one activity of the user in each of the multiple locations and an environmental data corresponding to each of the locations provide a health status suggestion message. The sleep quality and health status analysis system according to claim 1, wherein the first sensor module includes a plurality of pressure sensors, and the second sensor module includes a heart rate sensor Detector. According to the sleep quality and health status analysis system described in claim 1, wherein, the first sensor module further includes a gyroscope sensor. According to the sleep quality and health status analysis system described in claim 1, wherein the second sensor module further includes a blood pressure sensor and a blood oxygen concentration sensor. According to the sleep quality and health status analysis system described in claim 1, wherein the sleep quality detection device further includes a control module, and the control module is electrically connected to the first sensor module Group and the second sensor module. According to the sleep quality and health status analysis system described in item 1 of the scope of patent application, the analysis module makes a judgment based on the multiple locations, the time corresponding to the multiple locations, and the traffic data An emotion of the user. Such as the sleep quality and health status analysis system described in item 1 of the scope of patent application, Wherein, the analysis module is a central processing unit, an artificial intelligence processor or an expert system. According to the sleep quality and health status analysis system described in claim 1, wherein the server is a local server or a remote server. The sleep quality and health status analysis system described in the first item of the scope of patent application, wherein a wearable device is communicatively connected to the mobile device, and when the wearable device is communicatively connected to the mobile device, the server's The analysis module provides a health data sharing request message to the wearable device through the mobile device to obtain a wearable physiological data of the user recorded by the wearable device, and the analysis module is based on The plurality of physiological data, the estimated values of the plurality of physiological data, and the wearable physiological data of the user provide a health advice message.

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