TWM581893U - Analysis system for sleep quality and health - Google Patents

Abstract

An analysis system for sleep quality and health, includes: a mattress device, a server and a mobile device. The server compares a map data and a plurality of locations corresponding to different time to determine at least one activity of the user at each of the plurality of locations. The analysis module provides a health suggestion message according to the plurality of physiological data of the user, the plurality of physiological normal parameters, at least one activity of the user at each of the plurality of locations, and an environmental data corresponding to each location.

Description

Sleep quality and health analysis system

The present invention relates to a sleep quality and health analysis system, and more particularly to a sleep quality and health analysis system using a sensor of a mobile device.

Traditional sleep quality testing requires more than a specific medical clinic. In addition to the consultation of specialist doctors, not only time and space are limited, but also the current physiological data can not be grasped. There is a limited amount of health care for the user.

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

The technical problem to be solved by the present invention is to provide a sleep quality and health analysis system for the deficiencies of the prior art, comprising: a mattress device comprising a first sensor module and a second sensor module, Wherein a user lies on the mattress device in a first time interval, and the first sensor module and the second sensor module respectively capture the user in the a first type of sensing signal and a second type of sensing signal in the first time interval; a server connected to the mattress device to receive the first sensing signal and the second sensing signal The server includes: an analysis module disposed in the server, and obtaining a plurality of physiological data of the user according to the first type sensing signal and the second type sensing signal The analysis module respectively compares one of the plurality of physiological data of the user with a corresponding physiological normal parameter; and a storage module electrically connected to the analysis module The storage module stores a map a mobile device, communicatively connecting the server, the mobile device comprising: a positioning module for detecting a plurality of locations of the mobile device at multiple times; and a mobile storage module for storing the mobile The plurality of locations of the device; a mobile communication module, wherein the mobile device transmits the plurality of locations to the server by using the mobile communication module; wherein the server places the mobile device in the Comparing the plurality of locations of the plurality of times, comparing the map data to determine at least one activity of the user in each of the plurality of locations; wherein the server communication is connected to a public database, Acquiring the weather data, the traffic data, the air data, and the regional news materials of each of the locations in the plurality of locations; wherein the analyzing module is configured according to the plurality of physiological data of the user a plurality of physiological normal parameters, the at least one activity of the user at each of the plurality of locations, and weather data, traffic data, air data, and each of the locations corresponding to each of the locations Regional news in your area data set to provide a health advice messages.

One of the beneficial effects of the present invention is that the sleep quality and health analysis system provided by the present invention utilizes a plurality of sensors provided by the mattress device to perform physiological feature detection when the user lies, and also utilizes the user. The positioning module of the mobile device (mobile phone or tablet) used for a long time, combined with the map data, performs the activity judgment of the user during the waking (during the event), and further analyzes the user's health according to various materials, Providing user health advice can effectively improve the user's perception of health and promptly remind the user of the current physical condition to take care of.

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

The following is a description of an embodiment of the "sleep quality and health condition analysis system" disclosed in the present disclosure by a specific embodiment, and those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in the present specification. The present invention can be implemented or applied in various other specific embodiments. The details of the present specification can also be variously modified and changed without departing from the concept of the present invention. In addition, the drawings of the present creation are only for the purpose of simple illustration, and are not stated in advance according to the actual size. The following embodiments will further explain the related technical content of the present invention, but the disclosure is not intended to limit the scope of protection of the present invention.

It should be understood that, although the terms "first," "second," "third," and the like may be used herein to describe various elements or signals, these elements or signals are not limited by these terms. These terms are primarily used to distinguish one element from another, or one signal and another. In addition, the term "or" as used herein may include a combination of any one or 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 condition analysis system of the present embodiment. Figure 2 is a schematic illustration of the mattress device of the present invention. FIG. 3 is a schematic diagram of the second sensor module of the present invention disposed in a first area. 4 is a correlation analysis diagram of the analysis module to the physiological data of the user in the first time interval and the activities of the user in the second time interval in the present embodiment. Figure 5 is a schematic diagram of the travel of the user in the second time interval in the present creation.

In the present embodiment, the sleep quality and health analysis system SYS1 includes a mattress device 1, a server 2, and a mobile device 3. The server 2 can be a local server or a remote server, and is not limited in this creation.

The mattress device 1 includes a mattress body 10, an air bag module 11, a control module 12, a first sensor module 13, and a second sensor module 14. The first sensor module 13 includes pressure sensors 13A-1, 13A-2 and at least gyro sensors 13B-1, 13B-2. The second sensor module 14 is disposed in the first region 14A and the second region 14B. The first region 14A and the second region 14B are respectively provided with a heart rate sensor 141, a blood pressure sensor 142, and a blood oxygen concentration sensor 143. That is, in the present embodiment, the second sensor module 14 includes two heart rate sensors 141, two blood pressure sensors 142, and two blood oxygen concentration sensors 143. The control module 12 is electrically connected to the first sensor module 13 and the second sensor module 14 . In the present embodiment, the control module 12 includes a pump and a vent valve for connecting the airbag module 11 to deflate the airbag module 11.

The user can lie on the mattress device 1 for sleep and rest in a first time interval T1. 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 sensing signal that is continuous in the first time interval T1, such as a pressure sensing signal and a gyroscope sensing signal. The second type of sensing signal is a discontinuous sensor signal, and the user can pass the second sensor module 14 at the start time (before bed) and the end time (before getting up) lying on the mattress device 1 The heart rate sensor 141, the blood pressure sensor 142, and the blood oxygen concentration sensor 143 perform tests for heart rate, blood pressure, and blood oxygen concentration.

The server 2 is connected to the mattress device 1 and receives the first type sensing signal and the second type sensing signal. In the present embodiment, the server 2 is in communication with the mattress device 1 by means of Wireless Fidelity Protocol (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 is connected to the mattress device 1 by using the communication module 23 to receive the first type sensing signal and the second type sensing signal.

The analysis module 21 is disposed in the server 2 and calculates a sleep quality evaluation value according to the first type sensing signal. The first type of 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 according to the heart rate sensing signal, the blood pressure sensing signal, and the blood oxygen concentration sensing signal of the second type sensing signal. In the present embodiment, the analysis module 21 provides the user's heart rate value, blood pressure value (including systolic pressure, diastolic pressure), and maximum oxygen content. Furthermore, the analysis module 21 can compare the physiological data of the users with the physiological normal parameters in the database (not shown) of the server 2 to obtain a physiological data comparison result. The storage module 22 is electrically connected to the analysis module 21. The storage module 22 stores a map data.

The mobile device 3 can be communicatively coupled to the server 2 via a fourth generation mobile communication protocol or a fifth generation mobile communication protocol.

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 a plurality of positions of the mobile device 3 at a plurality of 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 simultaneously record the detection time. The mobile device 3 first stores information such as the location of the mobile device 3 detected by the positioning module 31 and the recording time in the mobile storage module 32. Then, the mobile device 3 transmits the information such as the location of the mobile device 3 and the recording time to the server 2 by using the mobile communication module 33.

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

Referring to Figure 4, first, the server 2 will pick out the position 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 information near these locations, the user is judged to be in contact with the public, meal, or exercise. 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. In the present embodiment, a plurality of positions in which the residence time between each position is less than half an hour or one hour are omitted.

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

Then, the analysis module 21 provides a health suggestion message according to the plurality of physiological data of the user, the plurality of physiological normal parameters, the at least one activity of the user at each location, and the environmental data corresponding to each location. Environmental information includes weather data, traffic data, air data, and regional news materials in the area where each location is located. There are no restrictions in this creation.

In addition, referring to FIG. 5, the first path P1, the second position P4, and the fifth position P5 are respectively the first path W1, the second path W2, and the third path W3. The fourth path W4 and the fifth path W5. The analysis module 21 can determine the user according to the time spent by the user on the first path W1, the second path W2, the third path W3, the fourth path W4, and the fifth path W5, and compare the current traffic data. Emotional reaction during the march. For example, anxiety, irritability, or concentration when driving a highway may occur during traffic jams. In this embodiment, the analysis module 21 converts these emotional judgments into an emotional estimation value. A project recommended as a health condition.

Here, the analysis module 21 will make a note based on the physiological data that is more special and needs attention in the physiological data comparison result. In particular, a plurality of physiological data in which the physiological data comparison result of the user exceeds or does not reach the physiological normal parameter.

The analysis module 21 is based on a plurality of physiological data of the user, a plurality of physiological normal parameters, and at least one activity of the user at each position, and weather data, traffic data, air data, and each location of each location. Regional news materials that provide a health advice. The user's health status recommendation is provided to the user via the mobile device 3. In this embodiment, the health status suggestions include: possible factors of the current physiological condition and a health improvement program, which can be adjusted according to actual needs, and no limitation is imposed in the present creation.

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

In this embodiment, the mobile device 3 includes a first program, and the first program can receive the user physiological data and the sleep quality evaluation parameter provided by the server 2, and allow the user to adjust the airbag of the mattress device 1 by using the mobile device 2. Module 11.

As shown in FIG. 4, the analysis module 21 establishes a possible event EV1-EV4 of the second time interval T2 according to the information corresponding to the plurality of positions of the user, and further detects the user with the first time interval T1. The physiological data S1-S4 is subjected to correlation analysis, and the analysis module 21 provides a health condition recommendation to the user after completing the correlation analysis. In the present 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, and no limitation is imposed in the present creation.

[Advantageous Effects of Embodiments]

One of the beneficial effects of the present invention is that the sleep quality and health analysis system provided by the present invention utilizes a plurality of sensors provided by the mattress device to perform physiological feature detection when the user lies, and also utilizes the user. The positioning module of the mobile device (mobile phone or tablet) used for a long time, combined with the map data, performs the activity judgment of the user during the waking (during the event), and further analyzes the user's health according to various materials, Providing user health advice can effectively improve the user's perception of health and promptly remind the user of the current physical condition to take care of.

The above disclosure is only a preferred and feasible embodiment of the present invention, and is not intended to limit the scope of the patent application of the present invention. Therefore, any equivalent technical changes made by using the present specification and the content of the schema are included in the application for this creation. Within the scope of the patent.

SYS1‧‧‧ Sleep quality and health analysis system

1‧‧‧F mattress unit

2‧‧‧Server

3‧‧‧Mobile devices

4‧‧‧Public database

13‧‧‧First sensor module

14‧‧‧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-EV4‧‧‧ incident

10‧‧‧ mattress body

11‧‧‧Airbag module

12‧‧‧Control Module

13A-1, 13A-2‧‧‧ Pressure Sensor

13B-1, 13B-2‧‧‧Gyro sensor

14A‧‧‧First Area

14B‧‧‧Second area

T1‧‧‧ first time interval

T2‧‧‧ second time interval

141‧‧‧ heart rate sensor

142‧‧‧ Blood Pressure Sensor

143‧‧‧Blood oxygen concentration 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

1 is a schematic diagram of a sleep quality and health analysis system of the present embodiment.

Figure 2 is a schematic illustration of the mattress device of the present invention.

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

4 is a correlation analysis diagram of the analysis module to the physiological data of the user in the first time interval and the activities of the user in the second time interval in the present embodiment.

Figure 5 is a schematic diagram of the travel of the user in the second time interval in the present creation.

Claims (7)

A sleep quality and health analysis system includes: a mattress device including a first sensor module and a second sensor module, wherein a user lies in a first time interval The first sensor module and the second sensor module respectively capture a first type sensing signal and a first time of the user in the first time interval. a second type of sensing signal; a server connected to the mattress device to receive the first sensing signal and the second sensing signal, the server comprising: an analysis module disposed at the In the server, the plurality of physiological data of the user are obtained according to the first type sensing signal and the second type sensing signal, and the analyzing module respectively refers to the user Comparing one of the plurality of physiological data with a corresponding physiological normal parameter; and a storage module electrically connected to the analysis module, the storage module storing a map data; and a mobile device, communication Connecting the server, The mobile device includes: a positioning module that detects a plurality of locations of the mobile device at multiple times; and a mobile storage module that stores the plurality of locations of the mobile device; a mobile communication module The mobile device transmits the plurality of locations to the server by using the mobile communication module; wherein the server compares the mobile device to the plurality of locations at the plurality of times Mapping data to determine at least one activity of the user in each of the plurality of locations; wherein the server communication is connected to a public database to obtain weather data, traffic data, and air data of the plurality of locations And the regional news material of the area where each of the locations is located; wherein the analysis module is configured according to the plurality of physiological data of the user, the plurality of physiological normal parameters, and the user The at least one activity of the plurality of locations and an environmental profile corresponding to each of the locations provide a health suggestion message. The sleep quality and health condition analysis system of claim 1, wherein the first sensor module comprises a plurality of pressure sensors, and the second sensor module comprises a heart rate sense Detector. The sleep quality and health condition analysis system of claim 2, wherein the first sensor module further comprises a gyroscope sensor. The sleep quality and health condition analysis system of claim 3, wherein the second sensor module further comprises a blood pressure sensor and a blood oxygen concentration sensor. The sleep quality and health analysis system of claim 1, wherein the mattress device further includes a control module, the control module electrically connecting the first sensor module and The second sensor module. The sleep quality and health condition analysis system of claim 1, wherein the analysis module is a central processing unit, an artificial intelligence processor, or an expert system. The sleep quality and health condition analysis system of claim 1, wherein the server is a local server or a remote server.