CN111973150A - Sleep quality and health condition analysis system - Google Patents
Sleep quality and health condition analysis system Download PDFInfo
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- CN111973150A CN111973150A CN201910438871.4A CN201910438871A CN111973150A CN 111973150 A CN111973150 A CN 111973150A CN 201910438871 A CN201910438871 A CN 201910438871A CN 111973150 A CN111973150 A CN 111973150A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4815—Sleep quality
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1112—Global tracking of patients, e.g. by using GPS
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
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Abstract
The invention discloses a sleep quality and health condition analysis system, which comprises: a mattress device, a server and a mobile device. The server compares a plurality of positions of the mobile device at a plurality of times with the map data to judge at least one activity of the user at each of the plurality of positions. The analysis module provides health suggestion information according to a plurality of physiological data of the user, a plurality of physiological normal state parameters, at least one activity of the user at each of a plurality of positions and environmental data corresponding to each position.
Description
Technical Field
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.
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 present invention is directed to a sleep quality and health status analysis system for solving the problems of the related art, and the sleep quality and health status analysis system includes: 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, 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 in the first time interval; a server communicatively coupled to the mattress assembly and receiving the first sensing signal and the second sensing signal, the server comprising: the analysis module is arranged in the server and is used for obtaining a plurality of physiological data of the user according to the first type sensing signal and the second type sensing signal, and the analysis module is used for comparing one of the plurality of physiological data of the user with a corresponding physiological normal parameter; the storage module is electrically connected with the analysis module and stores map data; and a mobile device communicatively coupled to the server, the mobile device comprising: a positioning module for detecting a plurality of positions 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 advice information according to the physiological data of the user, the physiological normal parameters, the at least one activity of the user at each of the plurality of locations, and an environmental data corresponding to each of the locations.
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 mattress device further comprises a control module electrically connected to the first sensor module and the second sensor module.
Preferably, the analysis module determines an emotion of the user according to the plurality of locations, the time corresponding to the plurality of locations, and the traffic data.
Preferably, the environment data includes a weather data, a traffic data, an air data, and a regional news data of a region in which each of the locations is located.
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, the plurality of times are located in a second time interval, and the second time interval is different from the first time interval.
The sleep quality and health condition analysis system provided by the invention has the beneficial effects that the physiological characteristic detection of a user when the user lies is carried out by utilizing a plurality of sensors arranged on the mattress device, the activity judgment of the user when the user is awake (during the activity) is carried out by utilizing a positioning module of a mobile device (a mobile phone or a tablet computer) used by the user for a long time and combining map data, and the health condition analysis of the user is further carried out according to a plurality of data so as to provide the health condition suggestion of the user, so that the concept of the user on health can be effectively improved, and the care action required to be taken by the current physical condition of the user can be timely reminded.
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 view of the mattress set 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.
Detailed Description
The following is a description of the embodiments of the sleep quality and health analysis system disclosed in the present invention with reference to specific embodiments, and those skilled in the art will understand the advantages and effects of the present invention from the disclosure of 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 disclosure is not intended 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 view of the mattress set 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 analysis system SYS1 includes a mattress device 1, a server 2 and a mobile device 3. The server 2 may be a local server or a remote server, which is not limited in the present invention.
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 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 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 this embodiment, the control module 12 includes an air pump and an inflation/deflation valve, which are used to connect the airbag module 11 and inflate/deflate the airbag module 11.
The user can sleep and rest on the mattress device 1 during a first time interval T1. The first sensor module 13 and the second sensor module 14 can respectively capture a first type sensing signal and a 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 heart rate, blood pressure and blood oxygen concentration tests through the heart rate sensor 141, the blood pressure sensor 142 and the blood oxygen concentration sensor 143 of the second sensor module 14 at the start time (before sleep) and the end time (before getting up) of the user lying on the mattress device 1.
The server 2 is in communication connection with 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 communicatively connected to the mattress device 1 using 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 mattress device 1 by 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 can compare the physiological data of the users with the physiological normal state 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. 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 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 at the same time. The mobile device 3 stores the information of the position and the recording time of the mobile device 3 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.
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. Then, it is judged whether the user is engaged in public business, dining, or sports 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 physiological normal parameters, 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, 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.
Here, the analysis module 21 marks the physiological data according to the specific and attentive physiological data in the comparison result of the physiological data. In particular to a plurality of physiological data which exceed or do not reach the physiological normal parameter in the comparison result of the physiological data of the user.
The analysis module 21 provides a health condition suggestion according to a plurality of physiological data, a plurality of physiological normal state parameters, at least one activity of the user at each position, weather data, traffic data, air data corresponding to each position, and regional news data of a 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 includes: possible factors of the current physiological condition and health improvement scheme, which can be adjusted according to the actual needs, 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, which can receive the physiological data of the user and the sleep quality assessment parameters provided by the server 2, and let the user control the air bag module 11 of the mattress device 1 by using the mobile device 2.
As shown in fig. 4, the analysis module 21 establishes possible events EV1-EV4 of a second time interval T2 according to information corresponding to a plurality of locations of the user, and further performs correlation analysis with the physiological data S1-S4 of the user detected in the first time interval T1, and the analysis module 21 provides a 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.
[ advantageous effects of the embodiments ]
The sleep quality and health condition analysis system provided by the invention has the beneficial effects that the physiological characteristic detection of a user when the user lies is carried out by utilizing a plurality of sensors arranged on the mattress device, the activity judgment of the user when the user is awake (during the activity) is carried out by utilizing a positioning module of a mobile device (a mobile phone or a tablet computer) used by the user for a long time and combining map data, and the health condition analysis of the user is further carried out according to a plurality of data so as to provide the health condition suggestion of the user, so that the concept of the user on health can be effectively improved, and the care action required to be taken by the current physical condition of the user can be timely reminded.
The disclosure is only a preferred embodiment of the invention and should not be taken as limiting the scope of the invention, so that the invention is not limited by the disclosure of the specification and drawings.
Claims (10)
1. A sleep quality and health analysis system, 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, 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 in the first time interval;
a server communicatively coupled to the mattress assembly and receiving the first sensing signal and the second sensing signal, the server comprising:
the analysis module is arranged in the server and is used for obtaining a plurality of physiological data of the user according to the first type sensing signal and the second type sensing signal, and the analysis module is used for comparing one of the plurality of physiological data of the user with a corresponding physiological normal parameter; and
The storage module is electrically connected with the analysis module and stores map data; and
a mobile device communicatively coupled to the server, the mobile device comprising:
a positioning module for detecting a plurality of positions of the mobile device at a plurality of times; and
a mobile storage module 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 advice information according to the physiological data of the user, the physiological normal parameters, the at least one activity of the user at each of the plurality of locations, and an environmental data corresponding to each of the locations.
2. 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.
3. The sleep quality and health analysis system of claim 2, wherein the first sensor module further comprises a gyroscope sensor.
4. 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.
5. The sleep quality and health analysis system of claim 1, wherein the mattress assembly further comprises a control module electrically connected to the first sensor module and the second sensor module.
6. 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.
7. The sleep quality and health analysis system of claim 1, wherein the environmental data includes a weather data, a traffic data, an air data, and regional news data for each of the regions in which the location is located.
8. 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.
9. The sleep quality and health analysis system of claim 1, wherein the server is a local server or a remote server.
10. The sleep quality and health analysis system of claim 1, wherein the plurality of times are located in a second time interval, the second time interval being different from the first time interval.
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| CN201910438871.4A CN111973150A (en) | 2019-05-24 | 2019-05-24 | Sleep quality and health condition analysis system |
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| CN201910438871.4A CN111973150A (en) | 2019-05-24 | 2019-05-24 | Sleep quality and health condition analysis system |
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Citations (5)
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| CN105190626A (en) * | 2012-12-13 | 2015-12-23 | 耐克创新有限合伙公司 | Monitoring fitness using a mobile device |
| CN105231995A (en) * | 2015-09-29 | 2016-01-13 | 无锡市润华碳晶地暖设备有限公司 | Sleep system |
| CN106175722A (en) * | 2016-06-25 | 2016-12-07 | 浙江和也健康科技有限公司 | A kind of based on intelligence bedding health management system arranged |
| CN109017797A (en) * | 2018-08-17 | 2018-12-18 | 大陆汽车投资（上海）有限公司 | Driver's Emotion identification method and the vehicular control unit for implementing this method |
| CN208709857U (en) * | 2017-11-17 | 2019-04-09 | 深圳和而泰智能控制股份有限公司 | A kind of apnea detection system |
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2019
- 2019-05-24 CN CN201910438871.4A patent/CN111973150A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105190626A (en) * | 2012-12-13 | 2015-12-23 | 耐克创新有限合伙公司 | Monitoring fitness using a mobile device |
| CN105231995A (en) * | 2015-09-29 | 2016-01-13 | 无锡市润华碳晶地暖设备有限公司 | Sleep system |
| CN106175722A (en) * | 2016-06-25 | 2016-12-07 | 浙江和也健康科技有限公司 | A kind of based on intelligence bedding health management system arranged |
| CN208709857U (en) * | 2017-11-17 | 2019-04-09 | 深圳和而泰智能控制股份有限公司 | A kind of apnea detection system |
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Application publication date: 20201124 |