CN106725325A - Analysis of sleeping quality method and analytical equipment - Google Patents
Analysis of sleeping quality method and analytical equipment Download PDFInfo
- Publication number
- CN106725325A CN106725325A CN201611227690.XA CN201611227690A CN106725325A CN 106725325 A CN106725325 A CN 106725325A CN 201611227690 A CN201611227690 A CN 201611227690A CN 106725325 A CN106725325 A CN 106725325A
- Authority
- CN
- China
- Prior art keywords
- activity
- region
- sleep
- analysis
- sleeping
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a kind of Analysis of sleeping quality method and analytical equipment, wherein, method is comprised the following steps：Gather Wearable acceleration of gravity data, wherein drainage pattern in quick sampling pattern, it is changeable between sampling configuration and low speed sampling configuration at a slow speed；Data to gathering carry out activity assessment；Activity and current date information are saved in non-volatile memory medium；And to store activity analysis, with the time for falling asleep for determining user, the time of getting up, deep sleep, either shallow sleep, waking state Annual distribution information.The method and apparatus analysis precision of the embodiment of the present invention is higher, low in energy consumption, amount of calculation is few, and low, to acceleration transducer the requirement of amount of storage requirement is low, multistage sleep or the sleep of many days that can be analyzed in one day.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of Analysis of sleeping quality method and analytical equipment.
Background technology
The sleep state of individual is understood and grasped, sleep-disorder patient is not only facilitated and is provided physicians with oneself exactly
Sleep state information, is easy to doctor to carry out medical treatment to the ill；And, it helps ordinary people understands the different of oneself sleep state in time
Often change, in order to adjusting as early as possible or treating.
Conventional sleep monitoring device has by dynamic during gathering the parameters such as the heart rate of sleeper come monitoring sleep at present
Make, so as to analyze determination sleep state.The sleep quality of human body is also monitored using Gravity accelerometer, due to accelerating
Degree meter is only used for recording the limb motion of measured, and limb motion is not directly dependent upon with sleep state, therefore daily does
Public affairs, in short-term lunch break, night seen in the usage scenarios such as TV, mobile phone, the mosquito bite also in sleep, or other pruituses
Deng, cause wearer not scratch independently or flexible, now sleep monitor product can be because of the motion of Gravity accelerometer
Mistake judges that wearer is non-hypnagogic state, has a strong impact on Analysis of sleeping quality precision.
It is therefore desirable to have a kind of Analysis of sleeping quality method and analytical equipment, its analysis precision is higher, low in energy consumption, calculating
Amount is few, and low, to acceleration transducer the requirement of amount of storage requirement is low, can analyze multistage sleep in one day or many days sleep
Sleep.
The content of the invention
It is contemplated that at least solving one of technical problem in correlation technique to a certain extent.The present invention can be solved
Wearable product utilization 3-axis acceleration sensor just can more accurate automatic monitoring human body in daylong sleep quality, so as to
User will be seen that oneself time for falling asleep, the time of getting up, deep sleep, either shallow sleep, the total time of waking state and its
Specific Annual distribution in sleep period.
Therefore, it is an object of the present invention to propose a kind of Analysis of sleeping quality method, the method analysis precision is higher,
Low in energy consumption, amount of calculation is few, and amount of storage low, to acceleration transducer the requirement of requirement is low, multistage that is can analyzing in a day is slept
Dormancy or the sleep of many days.
It is another object of the present invention to propose a kind of sleeping quality analyzing device.
To reach above-mentioned purpose, the embodiment of one aspect of the present invention proposes a kind of Analysis of sleeping quality method, including with
Lower step：The acceleration of gravity data of Wearable are gathered, wherein drainage pattern is in quick sampling pattern, at a slow speed sampling configuration
It is changeable and low speed sampling configuration between；Data to gathering carry out activity assessment；Activity and current date information are protected
It is stored to non-volatile memory medium；And the activity analysis to storing, with the time for falling asleep for determining user, time of getting up, depth
Degree sleep, either shallow sleep, the Annual distribution information of waking state.
By the Analysis of sleeping quality method of the embodiment of the present invention, reached Analysis of sleeping quality precision it is higher, low in energy consumption,
Amount of calculation is few, and low, to acceleration transducer the requirement of amount of storage requirement is low, the multistage that can be analyzed in a day is slept or many days
Sleep effect.
In addition, Analysis of sleeping quality method according to the above embodiment of the present invention can also have following additional technology special
Levy.
Optionally, in one embodiment of the invention, the sample frequency of the quick sampling pattern be 31.25Hz, institute
The sample frequency of sampling configuration at a slow speed is stated for the sample frequency of 4Hz, the low speed sampling configuration is 2Hz, is adopted due to that can switch
Sample frequency, therefore reduce power consumption.
Further, in one embodiment of the invention, the activity assessment has resting state and motion state two
Kind of state, resting state is entered after low speed sampling configuration 2 minutes；When quick sampling pattern continues not exiting within 20 seconds the sampling mould
Enter motion state during formula.
Further, in one embodiment of the invention, the activity analytical procedure is：
The data that activity in time period N is 0 are replaced into 251 by S1, are represented and are not slept also this period, wouldn't
In including sleep info；
Activity in time period N is more than or equal to 240 by S2, and zone marker of the duration not less than N/48 is behaviour area
Domain A；
The terminal of S3 zones of action A is the starting point of sleeping quarter zones U1, and the starting point of zone of action A is the terminal of sleeping quarter zones U1；
S4 will there was only starting point in the U1 of sleeping quarter zones or only the region of terminal is deleted；
S5 is deleted in the region by activity in the U1 of sleeping quarter zones less than 5；
The zone marker most long of sleeping quarter zones U1 duration in time period N is U2 by S6；
S7 using the starting point of U2 as real sleep starting point, using the terminal of U2 as real sleep terminal；
S8 searches deep sleep, either shallow sleep, the region of waking state in real sleeping quarter zones U2.
Further, in one embodiment of the invention, the S8 is concretely comprised the following steps：
Duration in U2 is more than or equal to N/192 by S81, and the zone marker that activity is persistently equal to 1 is B, then region B is depth
Sleeping quarter zones；
Duration in U2 is more than or equal to N/288 by S82, and activity zone marker persistently more than 40 is C, then region C is clear
Awake region；
S83, if deep sleep region B and clear-headed region C are adjacent, will be close to clear-headed area by U2 in the B of deep sleep region
2 activities of domain C are deleted；
Zone marker beyond deep sleep region B in U2 and clear-headed region C is D by S84, then region D sleeps region for shallow.
To reach above-mentioned purpose, the embodiment of another aspect of the present invention proposes a kind of sleeping quality analyzing device, including：
Acceleration acquisition module, it is made up of three axle Gravity accelerometers, gathers the acceleration of gravity data of Wearable；Power consumption
Control module, the sample frequency of control acceleration acquisition module are in quick sampling pattern, at a slow speed sampling configuration and low speed sampling mould
Switch between formula；Activity evaluation module, two states are maintained in activity evaluation module, and the first is motion state, the
Two kinds is resting state；Original active amount memory module, activity was obtained for every 2 minutes from activity evaluation module, and will
Activity and current date information are saved in non-volatile memory medium；Analysis module, the activity analysis to storing, to determine
The time for falling asleep of user, time of getting up, deep sleep, either shallow sleep, the Annual distribution information of waking state.
By a kind of sleeping quality analyzing device of the embodiment of the present invention, reach that Analysis of sleeping quality precision is higher, work(
The low, amount of calculation of consumption is few, and low, to acceleration transducer the requirement of amount of storage requirement is low, the multistage sleep that can be analyzed in a day
Or the effect of the sleep of many days.
In addition, sleeping quality analyzing device according to the above embodiment of the present invention can also have following additional technology special
Levy.
Further, in one embodiment of the invention, the three axle Gravity accelerometers support 0-8 times of gravity
Acceleration range.
Further, in one embodiment of the invention, the three axle Gravity accelerometers can detect pendant
Wear position action minor alteration of the change within 2cm and at least 60 groups acceleration samples can be cached.
Further, in one embodiment of the invention, can to store 0-48 small for the original active amount memory module
When activity.
Further, in one embodiment of the invention, the sample frequency of the quick sampling pattern be 31.25Hz,
The sample frequency of the sampling configuration at a slow speed is 4Hz, the sample frequency of the low speed sampling configuration is 2Hz.
Brief description of the drawings
The above-mentioned and/or additional aspect of the present invention and advantage will become from the following description of the accompanying drawings of embodiments
Substantially and be readily appreciated that, wherein：
Fig. 1 is the flow chart of the Analysis of sleeping quality method according to one embodiment of the invention；
Fig. 2 is the structural representation of the sleeping quality analyzing device according to one embodiment of the invention.
Specific embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from start to finish
Same or similar label represents same or like step or module.Embodiment below with reference to Description of Drawings is example
Property, it is intended to for explaining the present invention, and it is not considered as limiting the invention.
Analysis of sleeping quality method and the analytical equipment for proposing according to embodiments of the present invention are described with reference to the accompanying drawings, first
The Analysis of sleeping quality method for proposing according to embodiments of the present invention is described with reference to the accompanying drawings.
Fig. 1 is the flow chart of the Analysis of sleeping quality method of one embodiment of the invention.
In step S101, the acceleration of gravity data of Wearable are gathered, wherein drainage pattern is in quick sampling mould
It is changeable between formula, at a slow speed sampling configuration and low speed sampling configuration.
Wherein the sample frequency of quick sampling pattern be 31.25Hz, the sampling configuration at a slow speed sample frequency for 4Hz,
The sample frequency of the low speed sampling configuration is 2Hz.
It is at least 60 groups acceleration samples cached in acceleration sampling module as F wherein to set acceleration First Input First Output
This queue for being constituted.Every time during one sample of push-in, that is, all samples come in original queue and the new samples that will be pushed
Compare as follows：If the sample of new push-in is。
If originally the sample in queue is, wherein i=1,2,3 ..., 60.
If in three axle Gravity accelerometers X-axis in new element and original queue the difference of old element absolute value：, wherein i=1,2,3 ..., 60.
If in three axle Gravity accelerometers Y-axis in new element and original queue the difference of old element absolute value：, wherein i=1,2,3 ..., 60.
If on three axle Gravity accelerometers Z axis in new element and original queue the difference of old element absolute value：, wherein i=1,2,3 ..., 60.
If,
,
,
, whereinIt is to ask for the maximum.
IfIt is dynamic or motionless threshold values, in the present embodiment, in the case of 8 times of acceleration of gravity measurement ranges, the valve
Value may be configured as 3.
WhenWhen, quick sampling pattern is switched to by low speed sampling configuration；WhenWhen, by fast
Fast sampling configuration switches to sampling configuration at a slow speed；WhenWhen keep 1 minute and the above when, by sampling configuration at a slow speed
Switch to vulgar sampling configuration.Due to switch sampling frequency, therefore power consumption can be reduced.
In step s 102, activity assessment is carried out to the data for gathering.
Wherein activity assessment has resting state and motion state two states.When low speed sampling configuration enters after 2 minutes
Resting state；Enter motion state when quick sampling pattern continues not exiting the sampling configuration in 20 seconds.
In step s 103, activity and current date information are saved in non-volatile memory medium.
In step S104, the activity analysis to storing is slept with the time for falling asleep for determining user, time of getting up, depth
Sleep, either shallow is slept, the Annual distribution information of waking state.
Here activity is the physical quantity for weighing the amount of exercise of body in a period of time.Activity is general with 1 point
Clock 2 minutes is minimum time computing unit, represents the result of Analysis of sleeping quality.
1 byte representation activity is used in the present embodiment, the demand for exporting storage can be so preferably minimized, one
The scope that byte representation is set is 0-255.
Wherein 0 represents non-activity amount data, such as activity on the day of obtain in the morning of some day, due to being afternoon in future
Time, then afternoon activity amount represented with 0.
Wherein 1-239, represents authentic activity amount, and 1 represents static does not move, and other numerical value are higher to represent that activity is bigger.
Wherein 240-255, then it represents that one kind mark, for example, be currently at motion state and then represented using 255, if worked as
It is preceding to charge, then represented using 254, if currently used heart rate sensor does not monitor to wear, represented using 253.
Wherein activity analytical procedure is as follows.
The data that activity in time period N is 0 are replaced into 251 by S1, are represented and are not slept also this period,
In wouldn't including sleep info.
Activity in time period N is more than or equal to 240 by S2, and zone marker of the duration not less than N/48 is work
Dynamic region A.
The terminal of S3 zones of action A is the starting point of sleeping quarter zones U1, and the starting point of zone of action A is the end of sleeping quarter zones U1
Point.
S4 will there was only starting point in the U1 of sleeping quarter zones or only the region of terminal is deleted.
Incomplete U1 regions are eliminated in this step, this U1 region is very possible analyzed in the previous day or
Person needs analysis in next talent.
S5 is deleted in the region by activity in the U1 of sleeping quarter zones less than 5.
Being introduced for of this step see in the usage scenarios such as TV, mobile phone routine office work, in short-term lunch break, night, also
Have a mosquito bite in sleep, or other pruituses etc., cause wearer do not scratch independently or it is flexible wait the short time not
Breath or abnormal rest foreclose.
The zone marker most long of sleeping quarter zones U1 duration in time period N is U2 by S6.
S7 using the starting point of U2 as real sleep starting point, using the terminal of U2 as real sleep terminal.
S8 searches deep sleep, either shallow sleep, the region of waking state in real sleeping quarter zones U2.
Wherein S8's comprises the following steps that.
Duration in U2 is more than or equal to N/192 by S81, and the zone marker that activity is persistently equal to 1 is B, then region B
It is deep sleep region.
This step by all suspicious sound sleep regions not out, basis of characterization be human body sound sleep during, be the dynamic spy of no body
Levy.
Duration in U2 is more than or equal to N/288 by S82, and activity zone marker persistently more than 40 is C, then region C
It is region of regaining consciousness.
S83, if deep sleep region B and clear-headed region C are adjacent, will be close in U2 clearly in the B of deep sleep region
2 activities of awake region C are deleted.
In this step 2 points around clear-headed region are not included into sound sleep region, this step to update sound sleep region,
I.e. human body after continuous clear-headed a period of time, deep sleep can not possibly be immediately entered.
Zone marker beyond deep sleep region B in U2 and clear-headed region C is D by S84, then region D is Qian Shui areas
Domain.
The unit of above-mentioned time N is hour（h）.
By the Analysis of sleeping quality method of the embodiment of the present invention, reached Analysis of sleeping quality precision it is higher, low in energy consumption,
Amount of calculation is few, and low, to acceleration transducer the requirement of amount of storage requirement is low, the multistage that can be analyzed in a day is slept or many days
Sleep effect.
Fig. 2 is the structural representation of the sleeping quality analyzing device of one embodiment.
As shown in Fig. 2 the sleeping quality analyzing device 10 includes：Acceleration acquisition module 100, power consumption control module 200,
Activity evaluation module 300, original active amount memory module 400 and analysis module 500.
Wherein, acceleration acquisition module 100 is made up of three axle Gravity accelerometers, gathers the gravity of Wearable
Acceleration information.
Three axle Gravity accelerometers support 0-8 times of acceleration of gravity range.
Three axle Gravity accelerometers can detect wearing position action minor alteration of the change within 2cm and
At least 60 groups acceleration samples can be cached.
Three axle Gravity accelerometers can at least support 8 bit resolutions.
Wherein, the sample frequency of the control of power consumption control module 200 acceleration acquisition module is in quick sampling pattern, adopt at a slow speed
Switch between original mold formula and low speed sampling configuration.
The sample frequency of quick sampling pattern is 31.25Hz, the sample frequency of the sampling configuration at a slow speed is 4Hz, described
The sample frequency of low speed sampling configuration is 2Hz.Due to the power consumption of equipment can be greatly reduced with switch sampling frequency.
Wherein, activity evaluation module 300 maintains two states, and the first is motion state, and second is rest shape
State, enters resting state, when quick sampling pattern continues 20 seconds does not exit the sampling configuration after low speed sampling configuration 2 minutes
Into motion state.
Wherein, original active amount memory module 400 is used to obtain activity from activity evaluation module in every 2 minutes, and will
Activity and current date information are saved in non-volatile memory medium.
Original active amount memory module 400 can store the activity of 0-48 hours.
Analysis module 500, the activity analysis to storing, is slept with the time for falling asleep for determining user, time of getting up, depth
Sleep, either shallow is slept, the Annual distribution information of waking state.
By a kind of sleeping quality analyzing device of the embodiment of the present invention, reach that Analysis of sleeping quality precision is higher, work(
The low, amount of calculation of consumption is few, and low, to acceleration transducer the requirement of amount of storage requirement is low, the multistage sleep that can be analyzed in a day
Or the effect of the sleep of many days.
Additionally, term " first ", " second " are only used for describing purpose, and it is not intended that indicating or implying relative importance
Or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can express or
Implicitly include at least one this feature.In the description of the invention, " multiple " is meant that at least two, such as two, three
It is individual etc., unless otherwise expressly limited specifically.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means to combine specific features, structure, material or spy that the embodiment or example are described
Point is contained at least one embodiment of the invention or example.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.And, the specific features of description, structure, material or feature can be with office
Combined in an appropriate manner in one or more embodiments or example.Additionally, in the case of not conflicting, the skill of this area
Art personnel can be tied the feature of the different embodiments or example described in this specification and different embodiments or example
Close and combine.
Although embodiments of the invention have been shown and described above, it is to be understood that above-described embodiment is example
Property, it is impossible to limitation of the present invention is interpreted as, one of ordinary skill in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, changes, replacing and modification.
Claims (10)
1. a kind of Analysis of sleeping quality method, it is characterised in that comprise the following steps：
Gather Wearable acceleration of gravity data, wherein drainage pattern quick sampling pattern, at a slow speed sampling configuration and
It is changeable between low speed sampling configuration；
Data to gathering carry out activity assessment；
Activity and current date information are saved in non-volatile memory medium；And
Activity analysis to storing, with the time for falling asleep for determining user, time of getting up, deep sleep, either shallow sleep, clear-headed shape
The Annual distribution information of state.
2. Analysis of sleeping quality method according to claim 1, it is characterised in that the sampling of the quick sampling pattern is frequently
Rate is 31.25Hz, the sample frequency of the sampling configuration at a slow speed is 4Hz, the sample frequency of the low speed sampling configuration is 2Hz.
3. Analysis of sleeping quality method according to claim 2, it is characterised in that the activity assessment has resting state
With motion state two states, resting state is entered after low speed sampling configuration 2 minutes, when quick sampling pattern continues 20 seconds not
Enter motion state when exiting the sampling configuration.
4. Analysis of sleeping quality method according to claim 1, it is characterised in that the activity analytical procedure is：
The data that activity in time period N is 0 are replaced into 251 by S1；
Activity in time period N is more than or equal to 240 by S2, and zone marker of the duration not less than N/48 is behaviour area
Domain A；
The terminal of S3 zones of action A is the starting point of sleeping quarter zones U1, and the starting point of zone of action A is the terminal of sleeping quarter zones U1；
S4 will there was only starting point in the U1 of sleeping quarter zones or only the region of terminal is deleted；
S5 is deleted in the region by activity in the U1 of sleeping quarter zones less than 5；
The zone marker most long of sleeping quarter zones U1 duration in time period N is U2 by S6；
S7 using the starting point of U2 as real sleep starting point, using the terminal of U2 as real sleep terminal；
S8 searches deep sleep, either shallow sleep, the region of waking state in real sleeping quarter zones U2.
5. Analysis of sleeping quality method according to claim 4, it is characterised in that the S8's concretely comprises the following steps：
Duration in U2 is more than or equal to N/192 by S81, and the zone marker that activity is persistently equal to 1 is B, then region B is depth
Sleeping quarter zones；
Duration in U2 is more than or equal to N/288 by S82, and activity zone marker persistently more than 40 is C, then region C is clear
Awake region；
S83, if deep sleep region B and clear-headed region C are adjacent, will be close to clear-headed area by U2 in the B of deep sleep region
2 activities of domain C are deleted；
Zone marker beyond deep sleep region B in U2 and clear-headed region C is D by S84, then region D sleeps region for shallow.
6. a kind of sleeping quality analyzing device, it is characterised in that including：
Acceleration acquisition module, it is made up of three axle Gravity accelerometers, gathers the acceleration of gravity data of Wearable；
Power consumption control module, the sample frequency of control acceleration acquisition module are in quick sampling pattern, at a slow speed sampling configuration and low
Switch between fast sampling configuration；
Activity evaluation module, two states are maintained in activity evaluation module, and the first is motion state, and second is to stop
Breath state；
Original active amount memory module, activity was obtained for every 2 minutes from activity evaluation module, and by activity and currently
Date and time information is saved in non-volatile memory medium；
Analysis module, the activity analysis to storing, is slept with the time for falling asleep for determining user, time of getting up, deep sleep, either shallow
Dormancy, the Annual distribution information of waking state.
7. sleeping quality analyzing device according to claim 6, it is characterised in that the three axle Gravity accelerometers
Support 0-8 times of acceleration of gravity range.
8. sleeping quality analyzing device according to claim 7, it is characterised in that the three axle Gravity accelerometers
Wearing position action minor alteration of the change within 2cm can be detected and at least 60 groups acceleration samples can be cached.
9. sleeping quality analyzing device according to claim 6, it is characterised in that the original active amount memory module energy
Enough store the activity of 0-48 hours.
10. a kind of sleeping quality analyzing device according to claim 9, it is characterised in that the quick sampling pattern
Sample frequency is 31.25Hz, the sample frequency of the sampling configuration at a slow speed is 4Hz, the sample frequency of the low speed sampling configuration
It is 2Hz.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611227690.XA CN106725325A (en) | 2016-12-27 | 2016-12-27 | Analysis of sleeping quality method and analytical equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611227690.XA CN106725325A (en) | 2016-12-27 | 2016-12-27 | Analysis of sleeping quality method and analytical equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106725325A true CN106725325A (en) | 2017-05-31 |
Family
ID=58922637
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611227690.XA Pending CN106725325A (en) | 2016-12-27 | 2016-12-27 | Analysis of sleeping quality method and analytical equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106725325A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107184217A (en) * | 2017-07-06 | 2017-09-22 | 深圳市新元素医疗技术开发有限公司 | A kind of circadian rhythm analysis method |
| CN107545134A (en) * | 2017-07-25 | 2018-01-05 | 广东乐心医疗电子股份有限公司 | Sleep-related feature data processing method and device for wearable device |
| CN108030467A (en) * | 2017-11-22 | 2018-05-15 | 广东思派康电子科技有限公司 | Electronic bracelet and computer readable storage medium |
| CN109199325A (en) * | 2017-07-05 | 2019-01-15 | 中移（杭州）信息技术有限公司 | A kind of sleep monitor method and device |
| CN112379248A (en) * | 2020-11-03 | 2021-02-19 | 南京宏泰半导体科技有限公司 | FPGA-based speed-adjustable rapid scanning test hardware circuit |
| CN112890777A (en) * | 2021-01-22 | 2021-06-04 | 深圳市苏仁智能科技有限公司 | Sleep state staging method and device based on cardiopulmonary coupling and computer readable storage medium |
| CN114041753A (en) * | 2021-11-16 | 2022-02-15 | 上海市第六人民医院 | Sleep staging method and device, computer equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104391561A (en) * | 2014-09-30 | 2015-03-04 | 英华达（上海）科技有限公司 | Method for mode switching of wearable device and wearable device |
| CN105030199A (en) * | 2015-06-24 | 2015-11-11 | 深圳市元征软件开发有限公司 | Sleep monitoring method and device |
| CN105816153A (en) * | 2016-03-13 | 2016-08-03 | 北京工业大学 | Sleep monitoring system and method |
| CN105902257A (en) * | 2016-06-27 | 2016-08-31 | 安徽华米信息科技有限公司 | Sleep state analysis method and device and intelligent wearable equipment |
| CN206714743U (en) * | 2016-12-27 | 2017-12-08 | 广州碧德电子科技有限公司 | Sleeping quality analyzing device |
-
2016
- 2016-12-27 CN CN201611227690.XA patent/CN106725325A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104391561A (en) * | 2014-09-30 | 2015-03-04 | 英华达（上海）科技有限公司 | Method for mode switching of wearable device and wearable device |
| CN105030199A (en) * | 2015-06-24 | 2015-11-11 | 深圳市元征软件开发有限公司 | Sleep monitoring method and device |
| CN105816153A (en) * | 2016-03-13 | 2016-08-03 | 北京工业大学 | Sleep monitoring system and method |
| CN105902257A (en) * | 2016-06-27 | 2016-08-31 | 安徽华米信息科技有限公司 | Sleep state analysis method and device and intelligent wearable equipment |
| CN206714743U (en) * | 2016-12-27 | 2017-12-08 | 广州碧德电子科技有限公司 | Sleeping quality analyzing device |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109199325A (en) * | 2017-07-05 | 2019-01-15 | 中移（杭州）信息技术有限公司 | A kind of sleep monitor method and device |
| CN107184217A (en) * | 2017-07-06 | 2017-09-22 | 深圳市新元素医疗技术开发有限公司 | A kind of circadian rhythm analysis method |
| CN107545134A (en) * | 2017-07-25 | 2018-01-05 | 广东乐心医疗电子股份有限公司 | Sleep-related feature data processing method and device for wearable device |
| CN108030467A (en) * | 2017-11-22 | 2018-05-15 | 广东思派康电子科技有限公司 | Electronic bracelet and computer readable storage medium |
| CN108030467B (en) * | 2017-11-22 | 2021-07-02 | 广东思派康电子科技有限公司 | Electronic wristband and computer-readable storage medium |
| CN112379248A (en) * | 2020-11-03 | 2021-02-19 | 南京宏泰半导体科技有限公司 | FPGA-based speed-adjustable rapid scanning test hardware circuit |
| CN112890777A (en) * | 2021-01-22 | 2021-06-04 | 深圳市苏仁智能科技有限公司 | Sleep state staging method and device based on cardiopulmonary coupling and computer readable storage medium |
| CN114041753A (en) * | 2021-11-16 | 2022-02-15 | 上海市第六人民医院 | Sleep staging method and device, computer equipment and storage medium |
| CN114041753B (en) * | 2021-11-16 | 2024-04-26 | 上海市第六人民医院 | Sleep staging method, apparatus, computer device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106725325A (en) | Analysis of sleeping quality method and analytical equipment | |
| Jovanov | Preliminary analysis of the use of smartwatches for longitudinal health monitoring | |
| CN103823562B (en) | Method, system and wearable device that automatically prompting user is slept | |
| CN109640822B (en) | Urination prediction and monitoring | |
| EP3416557B1 (en) | Alertness prediction system and method | |
| JP5740006B2 (en) | Respiration measurement system and REM sleep determination system | |
| US9672715B2 (en) | Notifications on a user device based on activity detected by an activity monitoring device | |
| CN104095615A (en) | Human sleep monitoring method and system | |
| US20110267196A1 (en) | System and method for providing sleep quality feedback | |
| CN106725383A (en) | Sleep state judgement system and method based on action and heart rate | |
| JP2019531801A (en) | Sleep quality scoring and improvement | |
| CN104615851B (en) | A kind of Sleep-Monitoring method and terminal | |
| CN110706816B (en) | Method and equipment for sleep environment regulation and control based on artificial intelligence | |
| US20180020917A1 (en) | Physiological monitoring device, physiological monitoring method and non-transitory computer readable storage medium for implementing the physiological monitoring method | |
| JP6013668B1 (en) | Basal body temperature measuring system and basal body temperature measuring device | |
| JP2006061270A (en) | Sleeping state managing device, and sleeping state managing method | |
| CN206714743U (en) | Sleeping quality analyzing device | |
| CN110710962A (en) | Sleep state detection method and device | |
| CN108992040A (en) | A kind of sleep quality state monitoring method and device | |
| WO2017162465A1 (en) | Method and apparatus for monitoring urination of a subject | |
| CN109171663B (en) | Sleep monitoring bracelet based on skin electricity | |
| SE541712C2 (en) | Method and apparatus for health prediction | |
| CN114073493B (en) | Physiological data acquisition method and device and wearable equipment | |
| JP2004503282A (en) | Equipment for measuring and analyzing physical activity | |
| CN109922718A (en) | For providing the method, apparatus and computer program product of dynamic wake-up alarm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170531 |
|
| WD01 | Invention patent application deemed withdrawn after publication |