CN104434068A - Sleep analysis method and device based on environment monitoring - Google Patents
Sleep analysis method and device based on environment monitoring Download PDFInfo
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- CN104434068A CN104434068A CN201410851702.0A CN201410851702A CN104434068A CN 104434068 A CN104434068 A CN 104434068A CN 201410851702 A CN201410851702 A CN 201410851702A CN 104434068 A CN104434068 A CN 104434068A
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- 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
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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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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Abstract
The invention relates to a sleep analysis method and device based on environment monitoring. The movable and wearable sleep analysis device is adopted in the sleep analysis method for conducting sleep analysis based on environment monitoring. The movable and wearable sleep analysis device comprises a core processor, a three-axis gravity acceleration sensor, an environment monitoring module, a display module and a sleep monitoring module based on the body temperature and the heart rate. The core processor monitors the human body sleep stage according to body temperature and heart rate information sent by the sleep monitoring module, judges the sleep quality of the human body, analyzes the influences caused by the change of environment parameters on the sleep quality according to environment parameter information sent by the environment monitoring module, finds the environment condition suitable for the sleep of a user most and improves the sleep quality of the user. The problems that an existing sleep monitoring device can not analyze the sleep quality according to the change of environment parameters or provide the optimal environment parameters affecting the sleep quality are solved.
Description
Technical field
The present invention relates to sleep monitor equipment, specifically a kind of sleep analysis method and apparatus based on environmental monitoring.
Background technology
Existing sleep monitor equipment side overweights monitoring user sleep quality in the market, generally includes the time that total duration of sleep and user are in different Sleep stages, is included in shallow sleeping, sound sleep, and the time in rapid-eye-movement sleep (REM sleep) stage.There is following problem in existing sleep monitor equipment:
The first, ambient parameter and change procedure thereof cannot be obtained.As everyone knows, in sleep environment, noise, light, humiture and air quality all can have an impact to sleep quality.
The second, the sleep quality change caused by ambient parameter change cannot be analyzed.The such as change of sleep quality in the environment of different humiture, noise and surround lighting are on the impact of sleep.
3rd, the suitable environment condition extracted and improve sleep quality cannot be analyzed.The sleep quality of user all can change every night, is because ambient parameter there occurs change in a lot of situation.If comprehensively analyze the ambient parameter under user's high-quality sleep quality, we just can find the suitable environment condition improving user sleep quality.
Except above carried problem, ambient parameter needs long-term, a next to the skin monitoring.Although user can obtain environmental information by some weather forecasts, if not monitoring next to the skin, effective analysis result cannot be played.
Summary of the invention
The object of this invention is to provide a kind of sleep analysis method and apparatus based on environmental monitoring, the present invention can the change of analysis environments parameter on the impact of sleep quality, extract and improve the scheme of sleep quality, in order to solve existing sleep monitor equipment cannot environmentally parameter mutation analysis sleep quality and the problem of the suitable environment parameter affecting sleep quality is provided.
For achieving the above object, the solution of the present invention is: a kind of sleep analysis method based on environmental monitoring, the sleep analysis that described sleep analysis method adopts the wearable sleep analysis equipment of movement to carry out based on environmental monitoring, the wearable sleep analysis equipment of described movement comprises core processor, three axle Gravity accelerometers, environment monitoring module, display module and the sleep monitor module based on body temperature and heart rate;
Described sleep analysis method comprises the steps:
(1) wearable for movement sleep analysis equipment is worn on it user, the acceleration of gravity signal of three axle Gravity accelerometer Real-Time Monitoring human bodies, the body temperature of sleep monitor module Real-Time Monitoring and heart rate information, environment monitoring module Real-Time Monitoring ambient parameters, described ambient parameter comprises temperature, humidity, light intensity, noise intensity and gas concentration lwevel;
(2) the acceleration of gravity signal that feeds back according to three axle Gravity accelerometers of core processor, judges whether user enters sleep state, if confirm that user enters sleep state, core processor sends sleep monitor instruction to sleep monitor module;
(3) body temperature of monitoring and heart rate information are sent to core processor by sleep monitor module, the Sleep stages of core processor residing for body temperature and heart rate information real-time analysis user, described Sleep stages comprises shallow sleeping, sound sleep, and the rapid-eye-movement sleep (REM sleep) stage;
(4) at each Sleep stages, each minute of core processor writes down the ambient parameter once monitored, and calculate the average ambient temperature of each Sleep stages, average environment humidity, average light line strength, average noise strength and average gas concentration lwevel, record the time that each Sleep stages is used simultaneously;
(5) when core processor judges that user exits sleep state, the time scale of core processor shared by different Sleep stages, analyze the sleep quality of user, and sleep quality monitoring result is sent to display module, the Analysis of sleeping quality result that user shows according to display module, adjustment ambient parameters, to improve sleep quality.
In described step (2), according to acceleration of gravity signal, core processor judges whether human body enters dormant method and be:
(1) core processor setting human bady gravitational acceleration does not have the amplitude threshold of vicissitudinous time threshold and human bady gravitational acceleration change;
The acceleration of gravity signal of (2) three axle Gravity accelerometer human body, and send to core processor;
(3) when core processor detects that human bady gravitational acceleration does not change, and do not have the vicissitudinous time to be greater than the time threshold of setting or the amplitude of variation amplitude threshold values lower than setting, then core processor judges that human body enters sleep state, otherwise, do not enter sleep state.
In described step (3), the method in described core processor analyst somatic sleep stage is:
(1) the shallow time threshold of sleeping of core processor setting human body, the time threshold of setting human body sound sleep, heart rate falling-threshold value during setting human body sound sleep and temperature decline threshold value;
(2) if core processor analyzes human heart rate and body temperature is in plateau, and 5 to 10 jumpings that decline when human heart rate is in wake states relative to human body are per minute, then core processor judges that human body is in shallow sleeping the stage;
(3) if human body is in the shallow time threshold of sleeping that the shallow time of sleeping reaches setting, heart rate is steady, and human heart rate and body temperature all decline when being in wake states relative to human body, the value declined is higher than the heart rate falling-threshold value set and temperature decline threshold value, then core processor judges that human body enters deep sleep stages;
(4) if the time that human body is in sound sleep reaches the sound sleep time threshold of setting, human heart rate is in change at random state, and body temperature maintains steadily, then core processor judges that human body is in the rapid-eye-movement sleep (REM sleep) stage.
In described step (5), core processor recording user was slept total time on same day, the same day is shallow sleeps total time, sound sleep total time on the same day, by the ratio of shallow sleep time and sound sleep time, analyze sleep quality, sound sleep proportion is higher, sleep quality is better, if contrary shallow proportion of sleeping is higher, sleep quality is poorer.
The sleep info monitored and ambient parameter are sent to Intelligent mobile equipment by a wireless transport module by the wearable sleep analysis equipment of described movement, described Intelligent mobile equipment is analyzed the sleep quality of user every day and the change length of one's sleep, when user's sleep quality improves, the change of comprehensive analysis ambient parameter, and find out which kind of ambient parameter to sleep quality improve have remarkable help, when sleep quality declines, which kind of ambient parameter of comprehensive analysis declines on sleep quality impact, through the Long-term analysis to ambient parameter and sleep quality, analysis result is fed back to user, extract and this user is slept the ambient parameter had the greatest impact, thus provide the best suggestion scheme improving sleep quality to this user, help user's improving water flood quality.
The proposed projects of described raising sleep quality comprises: best ambient temperature, best ambient humidity, best night-environment light intensity, best noise intensity, and according to the concentration of carbon dioxide, judges whether maintain the circulation of air.
The present invention also provides a kind of sleep analysis equipment adopting above-mentioned sleep analysis method, described sleep analysis equipment is the wearable sleep analysis equipment of movement, described sleep analysis equipment comprises core processor, three axle Gravity accelerometers, environment monitoring module, display module and the sleep monitor module based on body temperature and heart rate, described three axle Gravity accelerometers, environment monitoring module is all connected the input port of core processor with the signal output part of sleep monitor module, for the human bady gravitational acceleration signal that will detect, ambient parameters and body temperature and heart rate information send to core processor, the output port of described core processor connects display module, for Analysis of sleeping quality result is sent to display module.
Described environment monitoring module comprises temperature sensor, humidity sensor, gas concentration lwevel sensor, light intensity sensor and noise transducer.
Described sleep monitor module comprises for the reflection type optical electric-type pulse transducer of Real-time Collection human heart rate and the body temperature trans for Real-time Collection body temperature information.
Described sleep analysis equipment comprises wireless transport module, and described core processor connects the Intelligent mobile equipment of user by wireless transport module.
The beneficial effect that the present invention reaches: 1) the present invention automatically can extract the change of user's ambient parameter in sleep procedure, comprise humiture, light intensity, noise intensity and gas concentration lwevel, environmentally Parameters variation situation, analyze the sleep quality of human body, facilitate user to adjust ambient parameter, improve sleep quality.
2) by wireless transport module, all environment and sleep info can transfer to mobile intelligent terminal to store, and comprehensive ambient parameter of analyzing is on the impact of sleep quality, for user provides scheme of preferably sleeping.
3) the present invention is by analyzing and extracting the ambient parameter of sleeper effect being applicable to user's the best, reaches the object helping user to improve sleep quality.
Accompanying drawing explanation
Fig. 1 is the structural representation of the wearable sleep analysis equipment of movement of the present invention;
Fig. 2 is sleep analysis flow chart of the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is further detailed explanation.
As shown in Figure 1, sleep analysis equipment of the present invention is a kind of wearable sleep analysis equipment, comprise a fixed frame, fixed frame both sides are all fixedly connected with length-adjustable banded structure, described banded structure is for being worn on human body by wearable motion analysis equipment, on the wrist that motion analysis equipment is worn on human body by the present invention or arm, in described frame-type support, be embedded with environment monitoring module, three axle Gravity accelerometers, sleep monitor module, core processor and display module based on body temperature and heart rate.
Three axle Gravity accelerometers are used for human body acceleration of gravity, judge whether user enters sleep state by core processor according to human bady gravitational acceleration signal, and after confirmation enters sleep state, send sleep monitor instruction to sleep monitor module.
Sleep monitor module comprises body temperature sensor and reflection type optical electric-type pulse transducer, described body temperature trans is used for human body body temperature, described reflection type optical electric-type pulse transducer is used for the heart rate of human body, and the information detected is sent to core processor, core processor judges the Sleep stages residing for human body according to the body temperature of human body and heart rate information, described Sleep stages comprises shallow sleeping, sound sleep, and the rapid-eye-movement sleep (REM sleep) stage.Core processor, by the monitoring analysis to each Sleep stages of human body duration used, judges the sleep quality of human body, and sends to display module.
Described environment monitoring module comprises temperature sensor, humidity sensor, gas concentration lwevel sensor, light intensity sensor and noise transducer, for the ambient temperature of residing environment during Real-Time Monitoring sleep quality, humidity, gas concentration lwevel, light intensity and noise intensity, and the ambient parameter monitored is sent to core processor.Core processor according to the ambient parameter information received, the impact of analysis environments parameters on human sleep quality, and send to display module to show analysis result.
Described wearable sleep analysis equipment also comprises a wireless transport module, core processor is connected with the Intelligent mobile equipment of user by wireless transport module, the sleep info monitored and environmental information are sent to Intelligent mobile equipment, intelligent mobile terminal equipment is carried out the Long-term analysis of environment and sleep, and feed back to customer analysis result, extract and this user is slept the ambient parameter had the greatest impact, and the proposed projects improving sleep quality is provided, this Intelligent mobile equipment can be smart mobile phone or ipad.
As shown in Figure 2, the detailed process adopting sleep analysis equipment of the present invention to carry out sleep analysis is as follows:
(1) wearable for movement sleep analysis equipment is worn on it user, the acceleration of gravity signal of three axle Gravity accelerometer Real-Time Monitoring human bodies, the body temperature of sleep monitor module Real-Time Monitoring and heart rate information, environment monitoring module Real-Time Monitoring ambient parameters, described ambient parameter comprises temperature, humidity, light intensity, noise intensity and gas concentration lwevel.
(2) when core processor detects that human bady gravitational acceleration does not change, and do not have the vicissitudinous time to be greater than the time threshold of setting or the amplitude of variation amplitude threshold values lower than setting, then core processor judges that human body enters sleep state, just sends sleep monitor instruction to sleep monitor module.Otherwise core processor judges that human body does not enter sleep state, continues to monitor gravity acceleration signal.
(3) body temperature of monitoring and heart rate information are sent to core processor by sleep monitor module, the Sleep stages of core processor residing for body temperature and heart rate information real-time analysis user, described Sleep stages comprises shallow sleeping, sound sleep, and the rapid-eye-movement sleep (REM sleep) stage.
If core processor analyzes human heart rate and body temperature is in plateau, and 5 to 10 jumpings that decline when human heart rate is in wake states relative to human body are per minute, then core processor judges that human body is in shallow sleeping the stage; If human body is in the shallow time threshold of sleeping that the shallow time of sleeping reaches setting, heart rate is steady, and human heart rate and body temperature all decline when being in wake states relative to human body, the value declined is higher than the heart rate falling-threshold value set and temperature decline threshold value, then core processor judges that human body enters deep sleep stages; If the time that human body is in sound sleep reaches the sound sleep time threshold of setting, human heart rate is in change at random state, and body temperature maintains steadily, then core processor judges that human body is in the rapid-eye-movement sleep (REM sleep) stage.
(4) at each Sleep stages, each minute of core processor writes down the ambient parameter once monitored, and calculate the average ambient temperature of each Sleep stages, average environment humidity, average light line strength, average noise strength and average gas concentration lwevel, record the time that each Sleep stages is used simultaneously.
(5) core processor is by the ratio of shallow sleep time and sound sleep time, and analyze sleep quality, sound sleep proportion is higher, and sleep quality is better, if contrary shallow proportion of sleeping is higher, sleep quality is poorer.And sleep quality monitoring result being sent to display module, the Analysis of sleeping quality result that user shows according to display module, adjustment ambient parameters, to improve sleep quality.
(6) sleep info monitored and ambient parameter are sent to Intelligent mobile equipment by a wireless transport module by core processor, described Intelligent mobile equipment is analyzed the sleep quality of user every day and the change length of one's sleep, when sleep quality improves, the change of comprehensive analysis ambient parameter, and find out which kind of ambient parameter to sleep quality improve have remarkable help, when sleep quality declines, which kind of ambient parameter of comprehensive analysis declines on sleep quality impact, through the Long-term analysis of environment and sleep, analysis result is fed back to user, extract and this user is slept the ambient parameter had the greatest impact, the proposed projects improving sleep quality is provided.
The sleep quality of user all can change every night, in a lot of situation, the quality of sleep quality is directly subject to the impact of ambient parameter change, analysis environments parameter on the impact of user's sleep quality, must carry out long-term, a next to the skin monitoring to ambient parameter.At present, some sleep monitor equipment can only monitor the quality of user's sleep quality, but environmentally parameter cannot improve the sleep quality of user, for the acquisition of environmental information, user is also just obtained by weather forecast, but the sleep environment of user and extraneous environment or differentiated, and in sleep procedure, ambient parameter may change, in addition, different users is also different by the impact of ambient parameter change, if not monitoring next to the skin, cannot play effective analysis result.
The present invention is integrated with environment temperature sensor and ambient humidity sensor, and by long-term monitoring next to the skin, user can understand ambient temperature and humidity and how to have an impact to sleep quality, thus by adjustment ring environmental temperature and humidity, obtains higher sleep quality.
The present invention is also integrated with ambient light intensity sensors, by long-term monitoring next to the skin, how the light intensity that user can understand sleep environment has an impact to sleep quality, then finds the light intensity of the most applicable sleep, thus by adjustment light intensity, improve sleep quality.
The present invention is also integrated with ambient noise sensor, and user, by worn for long periods sleep analysis equipment of the present invention, by comprehensive analysis, can understand environment noise and how to have an impact to sleep quality, thus by adjustment environment noise, improves sleep quality.
The present invention is integrated with gas concentration lwevel sensor, and user, by worn for long periods sleep analysis equipment of the present invention, can understand the situation of change of gas concentration lwevel in sleep procedure, thus adjusts with solving the problem that air quality helps sleep quality.
Comprehensively, the present invention is by monitoring the sleep quality of user every day and the change length of one's sleep chronically, and the sleep info monitored and environmental information are sent to Intelligent mobile equipment, intelligent mobile terminal equipment is carried out the Long-term analysis of this user environment and sleep quality, finds suitable environment parameter during this user's the best sleep quality.When user's sleep quality improves, the change of comprehensive analysis ambient parameter, and find out which kind of ambient parameter to sleep quality improve have remarkable help, when sleep quality declines, comprehensive which kind of ambient parameter of analyzing has impact, through the Long-term analysis to ambient parameter and sleep quality to sleep quality decline, analysis result is fed back to user, extract and this user sleep the ambient parameter had the greatest impact, thus the best suggestion scheme improving sleep quality is provided to user, help user improving water flood quality.
Claims (10)
1. the sleep analysis method based on environmental monitoring, it is characterized in that: the sleep analysis that described sleep analysis method adopts the wearable sleep analysis equipment of movement to carry out based on environmental monitoring, the wearable sleep analysis equipment of described movement comprises core processor, three axle Gravity accelerometers, environment monitoring module, display module and the sleep monitor module based on body temperature and heart rate;
Described sleep analysis method comprises the steps:
(1) wearable for movement sleep analysis equipment is worn on it user, the acceleration of gravity signal of three axle Gravity accelerometer Real-Time Monitoring human bodies, the body temperature of sleep monitor module Real-Time Monitoring and heart rate information, environment monitoring module Real-Time Monitoring ambient parameters, described ambient parameter comprises temperature, humidity, light intensity, noise intensity and gas concentration lwevel;
(2) the acceleration of gravity signal that feeds back according to three axle Gravity accelerometers of core processor, judges whether user enters sleep state, if confirm that user enters sleep state, core processor sends sleep monitor instruction to sleep monitor module;
(3) body temperature of monitoring and heart rate information are sent to core processor by sleep monitor module, the Sleep stages of core processor residing for body temperature and heart rate information real-time analysis user, described Sleep stages comprises shallow sleeping, sound sleep, and the rapid-eye-movement sleep (REM sleep) stage;
(4) at each Sleep stages, each minute of core processor writes down the ambient parameter once monitored, and calculate the average ambient temperature of each Sleep stages, average environment humidity, average light line strength, average noise strength and average gas concentration lwevel, record the time that each Sleep stages is used simultaneously;
(5) when core processor judges that user exits sleep state, the time scale of core processor shared by different Sleep stages, analyze the sleep quality of user, and sleep quality monitoring result is sent to display module, the Analysis of sleeping quality result that user shows according to display module, adjustment ambient parameters, to improve sleep quality.
2. sleep analysis method according to claim 1, is characterized in that, in described step (2), according to acceleration of gravity signal, core processor judges whether human body enters dormant method and be:
(1) core processor setting human bady gravitational acceleration does not have the amplitude threshold of vicissitudinous time threshold and human bady gravitational acceleration change;
The acceleration of gravity signal of (2) three axle Gravity accelerometer human body, and send to core processor;
(3) when core processor detects that human bady gravitational acceleration does not change, and do not have the vicissitudinous time to be greater than the time threshold of setting or the amplitude of variation amplitude threshold values lower than setting, then core processor judges that human body enters sleep state, otherwise, do not enter sleep state.
3. sleep analysis method according to claim 1, is characterized in that, in described step (3), the method in described core processor analyst somatic sleep stage is:
(1) the shallow time threshold of sleeping of core processor setting human body, the time threshold of setting human body sound sleep, heart rate falling-threshold value during setting human body sound sleep and temperature decline threshold value;
(2) if core processor analyzes human heart rate and body temperature is in plateau, and 5 to 10 jumpings that decline when human heart rate is in wake states relative to human body are per minute, then core processor judges that human body is in shallow sleeping the stage;
(3) if human body is in the shallow time threshold of sleeping that the shallow time of sleeping reaches setting, heart rate is steady, and human heart rate and body temperature all decline when being in wake states relative to human body, the value declined is higher than the heart rate falling-threshold value set and temperature decline threshold value, then core processor judges that human body enters deep sleep stages;
(4) if the time that human body is in sound sleep reaches the sound sleep time threshold of setting, human heart rate is in change at random state, and body temperature maintains steadily, then core processor judges that human body is in the rapid-eye-movement sleep (REM sleep) stage.
4. sleep analysis method according to claim 3, it is characterized in that, in described step (5), core processor recording user was slept total time on same day, the same day is shallow sleeps total time, sound sleep total time on the same day, by the ratio of shallow sleep time and sound sleep time, analyze sleep quality, sound sleep proportion is higher, sleep quality is better, if contrary shallow proportion of sleeping is higher, sleep quality is poorer.
5. sleep analysis method according to claim 1, it is characterized in that, the sleep info monitored and ambient parameter are sent to Intelligent mobile equipment by a wireless transport module by the wearable sleep analysis equipment of described movement, described Intelligent mobile equipment is analyzed the sleep quality of user every day and the change length of one's sleep, when user's sleep quality improves, the change of comprehensive analysis ambient parameter, and find out which kind of ambient parameter to sleep quality improve have remarkable help, when sleep quality declines, which kind of ambient parameter of comprehensive analysis declines on sleep quality impact, through the Long-term analysis to ambient parameter and sleep quality, analysis result is fed back to user, extract and this user is slept the ambient parameter had the greatest impact, thus provide the best suggestion scheme improving sleep quality to this user, help user's improving water flood quality.
6. sleep analysis method according to claim 5, it is characterized in that, the proposed projects of described raising sleep quality comprises: best ambient temperature, best ambient humidity, best night-environment light intensity, best noise intensity, and according to the concentration of carbon dioxide, judge whether maintain the circulation of air.
7. one kind adopts the sleep analysis equipment of sleep analysis method as claimed in claim 1, it is characterized in that: described sleep analysis equipment is the wearable sleep analysis equipment of movement, described sleep analysis equipment comprises core processor, three axle Gravity accelerometers, environment monitoring module, display module and the sleep monitor module based on body temperature and heart rate, described three axle Gravity accelerometers, environment monitoring module is all connected the input port of core processor with the signal output part of sleep monitor module, for the human bady gravitational acceleration signal that will detect, ambient parameters and body temperature and heart rate information send to core processor, the output port of described core processor connects display module, for Analysis of sleeping quality result is sent to display module.
8. sleep analysis equipment according to claim 7, is characterized in that, described environment monitoring module comprises temperature sensor, humidity sensor, gas concentration lwevel sensor, light intensity sensor and noise transducer.
9. sleep analysis equipment according to claim 7, is characterized in that, described sleep monitor module comprises for the reflection type optical electric-type pulse transducer of Real-time Collection human heart rate and the body temperature trans for Real-time Collection body temperature information.
10. sleep analysis equipment according to claim 7, is characterized in that, described sleep analysis equipment comprises wireless transport module, and described core processor connects the Intelligent mobile equipment of user by wireless transport module.
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