CN112294254A - Sleep quality and health condition analysis system - Google Patents
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Abstract
The invention provides a sleep quality and health condition analysis system, which comprises a sleep quality detection device and a server. The sleep quality detection device comprises a first sensor module and a second sensor module. When the user lies on the sleep quality detection device, the first sensor module and the second sensor module respectively collect 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 first type sensing signals and the second type sensing signals. The analysis module calculates a plurality of physiological data estimated values according to the plurality of physiological data. The analysis module provides a health condition suggestion message according to the physiological data and the physiological data estimated value.
Description
Technical Field
The present invention relates to a system for analyzing sleep quality and health status, and more particularly, to a system for analyzing sleep quality and health status using recorded data of a mobile device and a wearable device.
Background
Traditional sleep quality detection is mostly required to be carried out to a specific medical clinic. In addition to the inquiry of specialized physicians, not only the time and space are limited, but also various current physiological data cannot be mastered in real time. There is a limit to the health care of the user.
Therefore, how to provide a sleep quality and health status analysis system that can continuously provide health status advice according to the physical status of the user without changing the habits of the user has become an important issue to be solved by the industry.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a sleep quality and health status analysis system for overcoming the disadvantages of the prior art, which is characterized by comprising: the sleep quality detection device comprises a first sensor module and a second sensor module, wherein when a user lies on the sleep quality detection device, the first sensor module and the second sensor module respectively collect a first type sensing signal and a second type sensing signal of the user; a server, communicatively connected to the sleep quality detection apparatus, for receiving the first type sensing signal and the second type sensing signal, the server comprising: the analysis module is arranged in the server and used for obtaining a plurality of physiological data of the user according to the received first type sensing signals and the second type sensing signals, calculating a plurality of physiological data estimated values according to the physiological data, and providing health condition suggestion information according to the physiological data and the physiological data estimated values; wherein the server pushes the health advice information to a mobile device of the user.
Preferably, each of the physiological data respectively comprises a time tag, and each of the estimated values of the physiological data respectively comprises a time tag.
Preferably, the analysis module compares the physiological data with the same time tag and the physiological data pre-estimated value 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 a physiological data pre-estimated value with another time tag.
Preferably, the server is connected to the mobile device, and the server includes a storage module, and the storage module stores a map data; wherein the mobile device comprises: a location module to detect a plurality of locations of the mobile device at a plurality of times; and a mobile storage module for storing the plurality of locations of the mobile device; a mobile communication module, by which the mobile device transmits the plurality of locations to the server; wherein the server compares the plurality of locations of the mobile device at the plurality of times with the map data to determine at least one activity of the user at each of the plurality of locations; the server is in communication connection with a public database and obtains weather data, traffic data and air data of the positions and regional news data of the region where each position is located; the analysis module provides health condition recommendation information according to the physiological data of the user, the physiological prediction data, the at least one activity of the user at each position and an environment data corresponding to each position.
Preferably, the first sensor module comprises a plurality of pressure sensors and the second sensor module comprises a heart rate sensor.
Preferably, the first sensor module further comprises a gyro sensor.
Preferably, the second sensor module further comprises a blood pressure sensor and a blood oxygen concentration sensor.
Preferably, the sleep quality detection device further comprises a control module, and the control module is electrically connected to the first sensor module and the second sensor module.
Preferably, the analysis module determines the emotion of the user according to the plurality of locations, the time corresponding to the plurality of locations, and the traffic data.
Preferably, the analysis module is a central processing unit, an artificial intelligence processor or an expert system.
Preferably, the server is a local server or a remote server.
Preferably, a wearable device is communicatively connected to the mobile device, when the wearable device is communicatively connected to the mobile device, the analysis module of the server provides a health data sharing requirement information 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 provides a health suggestion information according to the physiological data of the user, the physiological data pre-estimated values, and the wearable physiological data.
The sleep quality and health status analysis system provided by the invention has the advantages that the health prediction is carried out by utilizing the measured physiological data of the user, the relevant physiological data of a health monitoring device which can be worn by the user during the activity period, such as a mobile device and a wearable device, can be utilized, and the weight fine adjustment is carried out according to the corresponding special physiological data or the relevant events of the position of the user. Thus, an estimated value of physiological data of the user can be effectively predicted, and corresponding health condition suggestion information is provided.
For a better understanding of the features and technical content of the present invention, reference should be made to the following detailed description and accompanying drawings, which are provided for purposes of illustration and description only and are not intended to limit the invention.
Drawings
Fig. 1 is a schematic diagram of a sleep quality and health analysis system according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of the sleep quality detection apparatus of the present invention.
Fig. 3 is a schematic view of a second sensor module of the present invention disposed in a first region.
FIG. 4 is a diagram illustrating the analysis module correlating physiological data of a user during a first time interval with activities of the user during a second time interval according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating a user's journey and activity events during a second time interval.
Detailed Description
The following is a description of embodiments of the present invention provided with "light emitting devices" by specific embodiments, and those skilled in the art can understand the advantages and effects of the present invention from the content provided in the present specification. The invention is capable of other and different embodiments and its several details are capable of modification and various other changes, which can be made in various details within the specification and without departing from the spirit and scope of the invention. The drawings of the present invention are for illustrative purposes only and are not intended to be drawn to scale. The following embodiments will further explain the related art of the present invention in detail, but the contents are not provided to limit the scope of the present invention.
It will be understood that, although the terms "first," "second," "third," etc. may be used herein to describe various components or signals, these components or signals should not be limited by these terms. These terms are used primarily to distinguish one element from another element or from one signal to another signal. In addition, the term "or" as used herein should be taken to include any one or combination of more of the associated listed items as the case may be.
[ first embodiment ]
Referring to fig. 1, 2, 3, 4 and 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 detection apparatus of the present invention. Fig. 3 is a schematic view of a second sensor module of the present invention disposed in a first region. FIG. 4 is a diagram illustrating the analysis module correlating physiological data of a user during a first time interval with activities of the user during a second time interval according to an embodiment of the present invention. FIG. 5 is a schematic diagram of a user's journey during a second time interval in the present invention.
In the present 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 may be a local server or a remote server, which is not limited in the present invention. In this embodiment, the sleep quality detection apparatus 1 is a mattress apparatus, and in other embodiments, the sleep quality detection apparatus 1 may be a bed bag set disposed on a mattress apparatus, which is not limited in the present invention.
Therefore, in the present embodiment, the sleep quality detecting apparatus 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 comprises pressure sensors 13A-1, 13A-2 and at least gyroscope sensors 13B-1, 13B-2. The second sensor module 14 is disposed in the first region 14A and the second region 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 the present 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 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 for connecting the airbag module 11 to inflate and deflate the airbag module 11. In other embodiments, when the sleep quality detection apparatus 1 is a bed sack set, the sleep quality detection apparatus 1 may include only the first sensor module 13 and the second sensor module 14.
The user can sleep and rest on the sleep quality detection apparatus 1 while lying down in a first time interval T1. The first sensor module 13 and the second sensor module 14 can respectively collect the first type sensing signal and the second type sensing signal. In the present embodiment, the first type sensing signal belongs to sensing signals that are 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 non-continuous sensor signal, and the user can perform the test detection of heart rate, blood pressure, blood oxygen concentration and blood sugar by the heart rate sensor 141, the blood pressure sensor 142, the blood oxygen concentration sensor 143 and the non-invasive blood sugar sensor 144 of the second sensor module 14 at the start time (before sleep) and the end time (before getting up) of lying on the sleep quality detection apparatus 1.
In this embodiment, the second sensor module 14 further includes a temperature sensor 145, a humidity sensor 146, and an allergen sensor 147.
A temperature sensor 145, a humidity sensor 146, and an allergen sensor 147 may be disposed in close proximity to detect the temperature, humidity, and development of allergic microorganisms of the sleep quality detection apparatus 12. For example, both sides of the sleep quality detection apparatus 1.
In the present embodiment, the allergen sensor 147 is a Micro Electro Mechanical Systems (MEMS) sensor for detecting various human allergens, such as dust mites, bacteria, mold, hair, etc. The allergen sensor detects and samples the allergens in the set area. At the same time, the sensing signals of the temperature sensor 145 and the humidity sensor 146 are transmitted to the analysis module 21 of the server 2. The analysis module 21 performs calculation of allergen concentration variation according to the sensing signal. The method of allergen concentration first senses the allergen sensor multiple times in a sensing time interval to generate multiple allergen concentrations. The allergen concentrations are then averaged to thereby generate a current allergen concentration, or one of the allergen concentrations is selected as the current allergen concentration. The method for selecting one of the allergen concentrations may be to select the allergen concentration at an intermediate value, which is not limited by the present invention.
In the present embodiment, the present temperature sensing method first senses the ambient temperature for a plurality of times in a sensing time interval to generate a plurality of ambient temperatures. Then, the ambient temperatures are averaged to generate a current temperature, or one of the ambient temperatures is selected as the current temperature. The method of selecting one of the ambient temperatures may be to select the ambient temperature at an intermediate value, which is not limited by the present invention. Similarly, the current humidity sensing method is substantially similar to the current temperature sensing method, and therefore, the description thereof is omitted here.
The server 13 calculates a possible variation curve of the allergen according to the allergen sensing signal, the temperature sensing signal and the humidity sensing signal, and further determines a date when the allergen may exceed the standard according to the allergen variation curve, so as to provide a notification signal to the user to remind the user of the washing time of the mattress.
The server 2 is communicatively connected to the sleep quality detecting apparatus 1 and receives the first type sensing signal and the second type sensing signal. In the present embodiment, the server 2 is in communication connection with the sleep quality detection apparatus 1 by a wireless fidelity communication protocol (Wi-Fi).
In the present embodiment, the server 2 includes an analysis module 21, a storage module 22 and a communication module 23. The server 2 is communicatively connected to the sleep quality detecting apparatus 1 by using the communication module 23, and receives the first type sensing signal and the second type sensing signal.
The analysis module 21, disposed in the server 2, calculates a sleep quality assessment 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 this embodiment, the analysis module 21 provides the heart rate value, the blood pressure value (including systolic pressure and diastolic pressure), and the maximum oxygen content of the user. Furthermore, the analysis module 21 further calculates possible physiological data of the user every other day, including heart rate value, blood pressure value, blood oxygen content, blood sugar value, etc., according to the calculated physiological data (including heart rate value, blood pressure value, blood oxygen content, blood sugar value, etc.) of the user. That is, the analysis module 21 calculates the estimated value of the physiological data of the user in advance. On the other hand, the analysis module 21 predicts physiological data of the user in tomorrow according to the currently obtained physiological data of the user.
Further, the analysis module 21 calculates a plurality of user physiological data with respective time tags. The physiological data obtained on the same day also has the same time stamp. The predicted value of the physiological data predicted by the analysis module 21 is indicated as having a time stamp of every other day. The analysis module 21 provides health advice information based on the predicted physiological data estimate.
The analysis module 21 compares the physiological data with the same time tag and the physiological data estimated value to obtain a physiological data correction value. Then, the analysis module 21 performs calculation according to the physiological data correction value and the plurality of physiological data to obtain a physiological data pre-estimation value with another time tag. That is, in the present embodiment, the analysis module 21 is an intelligent analysis module having a learning function.
The storage module 22 is electrically connected to the analysis module 21. The storage module 22 stores a map data. In the present embodiment, the analysis module 21 may be a Central Processing Unit (CPU), an artificial intelligence processor or an expert system.
The mobile device 3 may 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 is in communication connection with the wearable device 5. In the present embodiment, the mobile device 3 is communicatively connected to the wearable device 5 by using a Bluetooth communication protocol (Bluetooth protocol). In other embodiments, the mobile device 3 may be communicatively coupled to the wearable device 5 using other communication protocols, which are not limited in the present disclosure. The wearable device 5 may be a wearable health bracelet device, a wearable watch device, a wearable glasses device, or a wearable arm ring, which is not limited in the present invention. In this embodiment, the mobile device 3 may also be communicatively connected to the body weight scale 6 to receive the body weight data and the body fat data of the user of the body weight scale 6 for further analysis of 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 a plurality of positions of the mobile device 3 at a plurality of times. In the present embodiment, the positioning module 31 is a gps 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 record the detection time together. The mobile device 3 stores the information of the position of the mobile device 3 and the recording time detected by the positioning module 31 in the mobile storage module 32. Then, the mobile device 3 uses the mobile communication module 33 to transmit the information such as the location and the recorded time of the mobile device 3 to the server 2.
Next, the server 2 compares the plurality of positions of the mobile device at the plurality of 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 position.
The wearable device 5 records a health data of the user, such as the number of steps taken per day, dynamic heart rate data, dynamic blood pressure data, etc. In this embodiment, the mobile device 3 may be communicatively connected to a plurality of wearable devices, and the number of the wearable devices may be adjusted according to actual requirements, which is not limited in the present invention.
When the wearable device 5 is communicatively connected to 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 health data of the user 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 provides a health condition suggestion message to the mobile device 3 according to the physiological data, the physiological data pre-estimated values and the health data provided by the wearable device 5 of the user recorded by the sleep quality detection device 1.
In this embodiment, the analysis module 21 fine-tunes the estimated value of the physiological data to be closer to the actual physiological data of the user according to the event detected by the mobile device 3 and the wearable physiological data provided by the wearable device 5.
Referring to fig. 4, first, the server 2 selects a position where the user stays for more than half an hour or one hour. These locations are then marked on the map data. And then determines whether the user is at work, has a meal, or is in motion based on various store information, traffic information, or company data in the vicinity of the location. Such as 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, a number of positions with dwell times of less than half an hour or one hour between each position are omitted.
Furthermore, the server 2 is connected to at least one public database 4 by using the communication module 23 to obtain weather data, traffic data, air data of the location of the user and regional news data of the region of each location.
Then, the analysis module 21 provides a health advice message according to a plurality of physiological data of the user, a plurality of estimated values of the physiological data, at least one activity of the user at each location, and the environmental data corresponding to each location. The environmental data includes weather data, traffic data, air data, regional news data of the region where each location is located, and the like, and is not limited in the present invention.
In addition, referring to fig. 5, a first path W1, a second path W2, a third path W3, a fourth path W4 and a fifth path W5 are respectively located between the first position P1, the second position P2, the third position P3, the fourth position P4 and the fifth position P5. The analysis module 21 may compare the current traffic data 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 to determine the emotional response of the user during the travel. For example: in the embodiment, the analysis module 21 converts the emotion determination into an emotion estimation value, which may be anxiety, fidgetiness, or concentration when driving on a highway. As an item of health advice. In fig. 5, the analysis module 21 also calculates possible events EV5-EV7 from the health data provided by the wearable device 5.
Here, the analysis module 21 performs a weighted analysis on each physiological data by using each event EV1-EV7 to perform a fine adjustment on the physiological data estimation value. The analysis module 21 provides a health condition suggestion according to a plurality of physiological data of the user, a plurality of physiological data pre-estimation values, at least one activity of the user at each position, weather data, traffic data and air data corresponding to each position, and regional news data of the region where each position is located. The user's health advice is provided to the user by the mobile device 3. In this embodiment, the health condition advice information includes: the possible factors of the current physiological condition and the health improvement scheme, the possible changes of the future physiological condition and the follow-up notice can be adjusted according to the actual requirements, and are not limited in the present invention.
The storage module 23 stores various parameters such as activities, diseases, suggestions and the like corresponding to heart rate values, blood pressure values (including systolic pressure and diastolic pressure), maximum oxygen content and sleep quality assessment parameters, and corresponding weights. In the present embodiment, the analysis module 21 utilizes a decision tree induction algorithm or a neural network algorithm to deduce and calculate 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 assessment parameters provided by the server 2, and let the user control the airbag module 11 of the sleep quality detection apparatus 1 by using the mobile device 2.
As shown in fig. 4, the analysis module 21 establishes a possible event EV1-EV4 and a possible event EV5-EV7 in a second time interval T2 according to the information corresponding to the plurality of locations of the user and the health data provided by the wearable device 5, and further performs a correlation analysis with the physiological data S1-S4 of the user detected in the first time interval T1, and the analysis module 21 provides the health condition suggestion 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 time and day time, respectively. In other embodiments, the first time interval T1 and the second time interval T2 can be day and night, respectively, and are not limited in the present invention. In the present embodiment, the first time interval T1 is a period during which the user lies on the sleep quality detection apparatus 1, and the second time interval T2 is an activity time during which the user leaves the mattress apparatus 1.
In the embodiment, the analyzing module 21 performs a weight analysis on the events EV1-EV7 detected by the mobile device 3 to perform a fine adjustment on the estimated value of the physiological data of the user.
[ advantageous effects of the embodiments ]
The sleep quality and health status analysis system provided by the invention has the advantages that the health prediction is carried out by utilizing the measured physiological data of the user, the relevant physiological data of a health monitoring device which can be worn by the user during the activity period, such as a mobile device and a wearable device, can be utilized, and the weight fine adjustment is carried out according to the corresponding special physiological data or the relevant events of the position of the user. Thus, an estimated value of physiological data of the user can be effectively predicted, and corresponding health condition suggestion information is provided.
The above-mentioned embodiments are only preferred embodiments of the present invention, and not intended to limit the scope of the claims of the present invention, so that all equivalent technical changes made by using the contents of the specification and the drawings are included in the scope of the claims of the present invention.
Claims (12)
1. A sleep quality and health analysis system, comprising:
the sleep quality detection device comprises a first sensor module and a second sensor module, wherein when a user lies on the sleep quality detection device, the first sensor module and the second sensor module respectively collect a first type sensing signal and a second type sensing signal of the user;
a server, communicatively connected to the sleep quality detection apparatus, for receiving the first type sensing signal and the second type sensing signal, the server comprising:
the analysis module is arranged in the server and used for obtaining a plurality of physiological data of the user according to the received first type sensing signals and the second type sensing signals, calculating a plurality of physiological data estimated values according to the physiological data, and providing health condition suggestion information according to the physiological data and the physiological data estimated values;
wherein the server pushes the health advice information to a mobile device of the user.
2. The sleep quality and health analysis system of claim 1, wherein each of the physiological data comprises a time tag, and each of the estimated values of physiological data comprises a time tag.
3. The system of claim 2, wherein the analysis module compares the physiological data with the same time tag and the physiological data estimate to obtain a physiological data correction, and the analysis module calculates the physiological data correction and the plurality of physiological data to obtain a physiological data estimate with another time tag.
4. The sleep quality and health analysis system of claim 1, wherein the server is connected to the mobile device, the server comprising a storage module storing a map data;
wherein the mobile device comprises:
a location module to detect a plurality of locations of the mobile device at a plurality of times; and
a mobile storage module for storing the plurality of locations of the mobile device;
a mobile communication module, by which the mobile device transmits the plurality of locations to the server;
wherein the server compares the plurality of locations of the mobile device at the plurality of times with the map data to determine at least one activity of the user at each of the plurality of locations;
the server is in communication connection with a public database and obtains weather data, traffic data and air data of the positions and regional news data of the region where each position is located;
the analysis module provides health condition recommendation information according to the physiological data of the user, the physiological prediction data, the at least one activity of the user at each position and an environment data corresponding to each position.
5. The sleep quality and health 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 sensor.
6. The sleep quality and health analysis system of claim 2, wherein the first sensor module further comprises a gyroscope sensor.
7. The sleep quality and health analysis system of claim 3, wherein the second sensor module further comprises a blood pressure sensor and a blood oxygen concentration sensor.
8. The sleep quality and health analysis system of claim 1, wherein the sleep quality detection device further comprises a control module electrically connected to the first sensor module and the second sensor module.
9. The sleep quality and health analysis system of claim 1, wherein the analysis module determines an emotion of the user based on the locations, the time corresponding to the locations, and the traffic data.
10. The sleep quality and health analysis system of claim 1, wherein the analysis module is a central processing unit, an artificial intelligence processor, or an expert system.
11. The sleep quality and health analysis system of claim 1, wherein the server is a local server or a remote server.
12. The system of claim 1, wherein a wearable device is communicatively coupled to the mobile device, the analysis module of the server provides a health data sharing requirement information to the wearable device via the mobile device to obtain a wearable physiological data of the user recorded by the wearable device when the wearable device is communicatively coupled to the mobile device, and the analysis module provides a health recommendation information according to the physiological data of the user, the physiological data pre-estimates, and the wearable physiological data.
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| CN201910683134.0A CN112294254A (en) | 2019-07-26 | 2019-07-26 | Sleep quality and health condition analysis system |
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