CN106264465A - A kind of sleep detection method based on three axle G sensor - Google Patents
A kind of sleep detection method based on three axle G sensor Download PDFInfo
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- CN106264465A CN106264465A CN201610650546.0A CN201610650546A CN106264465A CN 106264465 A CN106264465 A CN 106264465A CN 201610650546 A CN201610650546 A CN 201610650546A CN 106264465 A CN106264465 A CN 106264465A
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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
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
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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
- A61B5/4812—Detecting sleep stages or cycles
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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 present invention relates to sleep detection technical field, refer in particular to a kind of sleep detection method based on three axle G sensor.Comprising: a. obtains activity data sleep value when detected person sleeps by three axle G sensor；The most at regular intervals, preserve the activity data sleep value that step a gets, and sleep value is transmitted to intelligent terminal；C. all sleep values preserved in a period of time are carried out Treatment Analysis；D. carry out determination step according to Treatment Analysis result and presetting threshold values and draw the sleep state of measured.A kind of based on three axle G sensor sleep detection methods that the present invention provides, the present invention utilizes three axle G sensor to detect sleep state, can accurately judge the sound sleep phase of user by this sleep detection method, shallow sleep the phase, get up, awaken time phase, make user understand and improve the sleep quality of oneself more accurately.
Description
Technical field
The present invention relates to sleep detection technical field, refer in particular to a kind of sleep detection side based on three axle G-sensor
Method.
Background technology
The product dressed about intelligence in the market emerges in an endless stream, of a great variety, especially relevant to healthy living
Electronic product, ratio, if detection meter step, the earphone of heart rate, bracelet etc., is favored by consumer especially.If electronic product
On the basis of existing function, increase sleep detection function, it will greatly enrich the kind of product, improve the concern of consumer
Degree.Additionally, the sleep detection equipment of traditional medical grade, easily several ten thousand, the price Ye Huiling consumer of hundreds of thousands hangs back.
If only electronic product need to be attached on medicated pillow with the form of jewelry at ordinary times, or it is worn on hand with the form of bracelet, so that it may
Easily to complete sleep detection, for consumer, it will be a kind of experience mode enjoyed very much.
Summary of the invention
The present invention is directed to problem of the prior art and a kind of sleep detection methods based on three axle G-sensor, Ke Yijian are provided
Singly, sleep state is accurately detected.
In order to solve above-mentioned technical problem, the present invention adopts the following technical scheme that
A kind of based on three axle G-sensor sleep detection methods that the present invention provides, including:
A. activity data sleep value when detected person sleeps is obtained by three axle G-sensor；
The most at regular intervals, the activity data sleep value that step a of preservation gets；
C. all sleep values preserved in a period of time are carried out Treatment Analysis；
D. carry out determination step according to Treatment Analysis result and presetting threshold values and draw the sleep state of measured.
Wherein, it is determined that result includes: the sound sleep phase, shallow sleep the phase, lucid interval and detection were lost efficacy.
Wherein, described step b is particularly as follows: preserved, every 5 minutes, the activity data sleep value that step a gets.
Wherein, the activity data sleep value that described step b preserves is transmitted to intelligent terminal.
Wherein, the maximum of described sleep value is 300.
Further, the determination step of described step d is:
D1, has analysed whether the most continuous 12 sleep value≤120, has the most then carried out next step；If it is not, then carry out step
d4；
D2, whether the number of times analyzing sleep value=0 has more than the 70% of the number of times accounting for sleep value≤120, the most then by sleep
Value is set to-1, is i.e. judged to that detection was lost efficacy；If it is not, carry out next step；
D3, whether the number of times analyzing sleep value=0 has at least 20 times continuously, the most then sleep value is set to-1, is i.e. judged to
Detection was lost efficacy；If it is not, carry out next step；
Whether d4, analyze sleep value >=0, the most then carry out next step, if it is not, be then judged to that detection was lost efficacy；
D5, in analytical procedure d4 > whether=sleep value of 0 have the most continuous 12 sleep value≤120, the most then carry out next
Step, if it is not, be then judged as lucid interval；
D6, the sleep value of analytical procedure d5 whether to there being the most continuous 3 sleep value≤12, is the most then judged as the sound sleep phase, if
No, then it is judged as shallow sleeping the phase.
Further, described shallow sleep the phase and the sound sleep phase is the effective sleep phase, analysed whether within the described effective sleep phase
Sleep value > 120 number of times≤2, if having, then corresponding wake-up times adds 1.
Further, statistics draws effective sleep phase and the wake-up times of a day.
Beneficial effects of the present invention:
A kind of based on three axle G-sensor sleep detection methods that the present invention provides, the present invention utilizes three axle G-sensor to examine
Survey sleep state, can accurately judge the sound sleep phase of user by this sleep detection method, shallow sleep the phase, get up, awaken time phase,
Make user understand and improve the sleep quality of oneself more accurately, enjoy the quality life that science and technology is brought.
Accompanying drawing explanation
Fig. 1 is the flow chart of a kind of based on three axle G-sensor sleep detection methods of the present invention.
Detailed description of the invention
For the ease of the understanding of those skilled in the art, the present invention is made further with accompanying drawing below in conjunction with embodiment
Bright, that embodiment is mentioned content not limitation of the invention.Below in conjunction with accompanying drawing, the present invention is described in detail.
A kind of based on three axle G-sensor sleep detection methods that the present invention provides, including:
A. activity data sleep value when detected person sleeps is obtained by three axle G-sensor；
The most at regular intervals, the activity data sleep value that step a of preservation gets；
C. all sleep values preserved in a period of time are carried out Treatment Analysis；
D. carry out determination step according to Treatment Analysis result and presetting threshold values and draw the sleep state of measured.
Specifically, step a utilizes three axle G-sensor, i.e. utilizes three axle Gravity accelerometers to detect user's sleep
Time activity data；A period of time of step c can be set as one day or an evening, can set according to detection needs；
Three axle G-sensor can be integrated on the master control borad in Intelligent bracelet by embodiment 1, when user uses, and hand strap bracelet
Carry out sleep detection；
Three axle G-sensor can be integrated on the master control borad in Intelligent foot chain by embodiment 2, and when user uses, foot is embedded in foot
Sleep detection is carried out in chain；
Three axle G-sensor can be integrated on the master control borad in pillow of intellectual sleep by embodiment 3, and when user uses, head is slept
Sleep detection is carried out on pillow of intellectual sleep.
A kind of based on three axle G-sensor sleep detection methods that the present invention provides, it is determined that result includes: the sound sleep phase, shallow
Sleep phase, lucid interval and detection to lose efficacy.Be easy to user and recognize each state oneself slept, i.e. the sound sleep phase in sleep, shallow sleep
Phase, lucid interval and detection were lost efficacy.
A kind of based on three axle G-sensor sleep detection methods that the present invention provides, described step b is particularly as follows: every 5
Minute preserve the activity data sleep value that step a gets.Preserved once every 5 minutes, it is ensured that collect the sleep of user
Sleep Value Data is enough, judges the sleep quality of user more accurately；Certainly, those skilled in the art can also be according to reality
Demand sets the preservation interval time that this is concrete, such as could be arranged to 10 minutes or 15 minutes etc..
A kind of based on three axle G-sensor sleep detection methods that the present invention provides, the activity that described step b is preserved
Data sleep value is transmitted to intelligent terminal.
A kind of based on three axle G-sensor sleep detection methods that the present invention provides, the maximum of described sleep value is
300.Set the sleep value maximum that three axle G-sensor can measure, when three axle G-sensor are in monitoring physical activity situation
Time, if human body is constantly in clear-headed activity, within 5 minutes, interior sleep maximum is 300, if human body is constantly in static
State, this sleep value is 0.
A kind of based on three axle G-sensor sleep detection methods that the present invention provides, the determination step of described step d is:
D1, has analysed whether the most continuous 12 sleep value≤120, has the most then carried out next step；If it is not, then carry out step
d4；
D2, whether the number of times analyzing sleep value=0 has more than the 70% of the number of times accounting for sleep value≤120, the most then by sleep
Value is set to-1, is i.e. judged to that detection was lost efficacy；If it is not, carry out next step；
D3, whether the number of times analyzing sleep value=0 has at least 20 times continuously, the most then sleep value is set to-1, is i.e. judged to
Detection was lost efficacy；If it is not, carry out next step；
Whether d4, analyze sleep value >=0, the most then carry out next step, if it is not, be then judged to that detection was lost efficacy；
D5, in analytical procedure d4 > whether=sleep value of 0 have the most continuous 12 sleep value≤120, the most then carry out next
Step, if it is not, be then judged as lucid interval；
D6, the sleep value of analytical procedure d5 whether to there being the most continuous 3 sleep value≤12, is the most then judged as the sound sleep phase, if
No, then it is judged as shallow sleeping the phase.
Specifically, described determination step accurately judges the sleep quality of user according to the threshold values set；Wherein step d2 is divided
Whether the number of times of analysis sleep value=0 accounts for more than the 70% of the number of times of sleep value≤120, the most then sleep value is set to-1, i.e.
It is judged to that detection was lost efficacy；After the sleep value in this region is set to-1, when adding up the sleep quality of a day, prevent this region
It is sound sleep by statistics by mistake.
A kind of based on three axle G-sensor sleep detection methods that the present invention provides, described shallow sleep phase and sound sleep phase for having
Effect sleep period, analyses whether sleep value within the described effective sleep phase > number of times≤2 of 120, if having, wake up up secondary the most accordingly
Number adds 1.Described wake-up times can represent user and get up the late into the night and drink water, the of short duration activity such as go between wash water, is possible to prevent user deep
The of short duration activity such as getting up between district's wash water, drink water night is considered the awakening phase, and wake-up times adds 1 and is easy to user and understands the sleep of self
Quality.
A kind of based on three axle G-sensor sleep detection methods that the present invention provides, statistics draws the effective sleep of a day
Phase and wake-up times.The effective sleep phase drawn and wake-up times are transferred to intelligent terminal, it is simple to user recognizes sleeping of self
The dormancy time.User can inquire about the dormant data in each sky, read data draw self the rising of the length of one's sleep, only, deep, shallow and call out
Awake number of times, is shown by intelligent terminal；Meanwhile, the panorama of dormant data, moon view can be completed by intelligent terminal.
The above, be only present pre-ferred embodiments, and the present invention not makees any pro forma restriction, although
The present invention is open as above with preferred embodiment, but is not limited to the present invention, any those skilled in the art,
In the range of technical solution of the present invention, when the technology contents utilizing the disclosure above makes a little change or is modified to equivalent change
The Equivalent embodiments changed, as long as being without departing from technical solution of the present invention content, refers to above example according to the technology of the present invention
Any simple modification, equivalent variations and the modification made, belongs in the range of technical solution of the present invention.
Claims (8)
1. a sleep detection method based on three axle G-sensor, it is characterised in that including:
A. activity data sleep value when detected person sleeps is obtained by three axle G-sensor；
The most at regular intervals, the activity data sleep value that step a of preservation gets；
C. all sleep values preserved in a period of time are carried out Treatment Analysis；
D. carry out determination step according to Treatment Analysis result and presetting threshold values and draw the sleep state of measured.
A kind of sleep detection methods based on three axle G-sensor the most according to claim 1, it is characterised in that: judge knot
Fruit includes: the sound sleep phase, shallow sleep the phase, lucid interval and detection were lost efficacy.
A kind of sleep detection methods based on three axle G-sensor the most according to claim 1, it is characterised in that: described step
Rapid b particularly as follows: preserved the activity data sleep value that step a gets every 5 minutes.
A kind of sleep detection methods based on three axle G-sensor the most according to claim 1, it is characterised in that: by described
The activity data sleep value that step b preserves is transmitted to intelligent terminal.
A kind of sleep detection methods based on three axle G-sensor the most according to claim 1, it is characterised in that: described
The maximum of sleep value is 300.
A kind of sleep detection methods based on three axle G-sensor the most according to claim 2, it is characterised in that described step
The determination step of rapid d is:
D1, has analysed whether the most continuous 12 sleep value≤120, has the most then carried out next step；If it is not, then carry out step
d4；
D2, whether the number of times analyzing sleep value=0 has more than the 70% of the number of times accounting for sleep value≤120, the most then by sleep
Value is set to-1, is i.e. judged to that detection was lost efficacy；If it is not, carry out next step；
D3, whether the number of times analyzing sleep value=0 has at least 20 times continuously, the most then sleep value is set to-1, is i.e. judged to
Detection was lost efficacy；If it is not, carry out next step；
Whether d4, analyze sleep value >=0, the most then carry out next step, if it is not, be then judged to that detection was lost efficacy；
D5, in analytical procedure d4 > whether=sleep value of 0 have the most continuous 12 sleep value≤120, the most then carry out next
Step, if it is not, be then judged as lucid interval；
D6, the sleep value of analytical procedure d5 whether to there being the most continuous 3 sleep value≤12, is the most then judged as the sound sleep phase, if
No, then it is judged as shallow sleeping the phase.
A kind of sleep detection methods based on three axle G-sensor the most according to claim 6, it is characterised in that: described shallow
Sleep the phase and the sound sleep phase is the effective sleep phase, within the described effective sleep phase, analyse whether sleep value number of times≤2 of 120, if
Have, then corresponding wake-up times adds 1.
A kind of sleep detection methods based on three axle G-sensor the most according to claim 7, it is characterised in that: add up
Go out effective sleep phase and the wake-up times of one day.
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| CN201610650546.0A CN106264465B (en) | 2016-08-10 | 2016-08-10 | A kind of sleep detection method based on three axis G-sensor |
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| CN201610650546.0A CN106264465B (en) | 2016-08-10 | 2016-08-10 | A kind of sleep detection method based on three axis G-sensor |
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| CN106264465A true CN106264465A (en) | 2017-01-04 |
| CN106264465B CN106264465B (en) | 2019-08-09 |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005279113A (en) * | 2004-03-30 | 2005-10-13 | Toshiba Corp | Apparatus and method for determining sleeping condition |
| TW201019901A (en) * | 2008-11-17 | 2010-06-01 | Univ Nat Yang Ming | Sleep analysis system and analysis method thereof |
| WO2013009988A1 (en) * | 2011-07-13 | 2013-01-17 | Dp Technologies, Inc. | A sleep monitoring system |
| US20140364770A1 (en) * | 2013-06-06 | 2014-12-11 | Motorola Mobility Llc | Accelerometer-based sleep analysis |
-
2016
- 2016-08-10 CN CN201610650546.0A patent/CN106264465B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005279113A (en) * | 2004-03-30 | 2005-10-13 | Toshiba Corp | Apparatus and method for determining sleeping condition |
| TW201019901A (en) * | 2008-11-17 | 2010-06-01 | Univ Nat Yang Ming | Sleep analysis system and analysis method thereof |
| WO2013009988A1 (en) * | 2011-07-13 | 2013-01-17 | Dp Technologies, Inc. | A sleep monitoring system |
| US20140364770A1 (en) * | 2013-06-06 | 2014-12-11 | Motorola Mobility Llc | Accelerometer-based sleep analysis |
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| CN106264465B (en) | 2019-08-09 |
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Address after: Industrial Road, Songshan Lake high tech Industrial Development Zone, Guangdong city of Dongguan province No. 6 523808 1 5 floor Applicant after: Jiahe intelligent Polytron Technologies Inc Address before: Industrial Road, Songshan Lake high tech Industrial Development Zone, Guangdong city of Dongguan province No. 6 523808 1 5 floor Applicant before: COSONIC ACOUSTIC TECHNOLOGY CO., LTD. |
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