CN109363647A - Sleep quality monitoring method, device and terminal device - Google Patents
Sleep quality monitoring method, device and terminal device Download PDFInfo
- Publication number
- CN109363647A CN109363647A CN201811269887.9A CN201811269887A CN109363647A CN 109363647 A CN109363647 A CN 109363647A CN 201811269887 A CN201811269887 A CN 201811269887A CN 109363647 A CN109363647 A CN 109363647A
- Authority
- CN
- China
- Prior art keywords
- sleep
- target user
- radio frequency
- sequence
- frequency signal
- 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.)
- Granted
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—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
-
- 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
-
- 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
-
- 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
-
- 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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
-
- 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
- A61B5/1118—Determining activity level
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Cardiology (AREA)
- Physiology (AREA)
- Pulmonology (AREA)
- Anesthesiology (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The present invention provides a kind of sleep quality monitoring method, device and terminal device.Wherein, sleep quality monitoring method includes: the radio frequency signal stream for acquiring and transmitting in place locating for target user;According to the radio frequency signal stream, determine that the sleep characteristics sequence of target user, the sleep characteristics in the sleep characteristics sequence include that respiratory characteristic, heart rate feature and body move at least one of feature;According to the sleep characteristics and dormant corresponding relationship, the corresponding sleep state sequence of the sleep characteristics sequence is determined;The sleep quality of the target user is determined according to the sleep state sequence.Compared to the prior art, the present invention does not need user and wears any electronic probe or signal collecting device, can realize the monitoring to target user's sleep quality based on the radio frequency signal transmitted in place locating for target user, in the case where user's unaware.
Description
Technical field
The present invention relates to sleep monitor technical fields, and in particular to a kind of sleep quality monitoring method, device and terminal are set
It is standby.
Background technique
With the quickening pace of modern life, the increase of operating pressure, more and more people face sleep disturbance problem.Sleep is not
The good physical and mental health for influencing people, reduces people's lives quality.
Sleep is one important physiology course of human body, occupies life close to the time of one third, sleep is human body
The major way for eliminating physical fatigue, during deep sleep, body can make histoorgan self-regeneration by metabolism.Sleep
The bad and relevant sleep disturbance of quality is easy to cause failure of memory, lassitude and immunity degradation.In addition, many diseases
It can be showed from sleep quality in incubation period and sign phase, sleep quality is also closely bound up with the rehabilitation of disease.Therefore,
The monitoring and evaluation of sleep have very big application value in fields such as medicine.
The sleep period of human body can be mainly divided into lucid interval (full name in English: Wake period, English abbreviation: WAKE),
Rapid eye movement phase (full name in English: Rapid eye movements period, English abbreviation: REM) and non-rapid eye movement phase (English
Literary full name: Non-rapid eye movements period, English abbreviation: NREM).Wherein, the non-rapid eye movement phase again can be with
Be divided into for 1,2,3,4 phases: 1 phase and 2 phases are either shallow sleep, and 3 phases and 4 phases are deep sleep.Traditional sleep stage mainly more leads
Sleep drawing method, that is, using the multi-signals such as brain electricity, eye electricity, myoelectricity, breathing, blood oxygen, movement come deployment analysis, but it is lacked
Point is that a variety of special equipments is needed to acquire above-mentioned various signals, expensive, complicated for operation, additionally, due to needing tester to wear
The usage experience and sleep quality of tester can be greatly reduced in various acquisition probes, this mode.
In order to overcome the above problem, with the development of intelligence wearing technology, the sleep quality assessment based on Intelligent bracelet is obtained
To extensive use, but this method needs user to wear Intelligent bracelet in sleep, and constraint sense can be equally caused to user, is caused
The discomfort of user.
In view of the above problems, it is desirable to provide a kind of sleep quality monitoring method of user's unaware.
Summary of the invention
In view of the above problems, the purpose of the present invention is set by providing a kind of sleep quality monitoring method, device and terminal
It is standby, it is poor to solve the problems, such as to will affect user's sleep quality, usage experience existing for current sleep quality detection method.
First aspect present invention provides a kind of sleep quality monitoring method, comprising:
Acquire the radio frequency signal stream transmitted in place locating for target user;
According to the radio frequency signal stream, the sleep characteristics sequence of the target user, the sleep characteristics sequence are determined
Column include the sleep characteristics corresponding to each time window in time window sequence, and the sleep characteristics include respiratory characteristic, heart rate
Feature and body move at least one of feature;
According to the sleep characteristics and dormant corresponding relationship, the corresponding sleep shape of the sleep characteristics sequence is determined
State sequence;
The sleep quality of the target user is determined according to the sleep state sequence.
It is described according to the radio frequency signal stream in another change embodiment of first aspect present invention, it determines
The sleep characteristics sequence of the target user, comprising:
Using slip window sampling, corresponds to each time window, the target is determined according to the radio frequency signal stream
The sleep characteristics of user obtain the sleep characteristics sequence of the target user.
Another of first aspect present invention changes in embodiment, described to determine institute according to the radio frequency signal stream
State the sleep characteristics of target user, comprising:
Extract the channel state information feature of the radio frequency signal stream, wherein the channel state information feature packet
It includes: at least one of amplitude and phase difference;
According to the channel state information feature, using the carrier wave selection algorithm based on auto-correlation function, select-out signal matter
Measure best carrier wave;
Determine the sleep characteristics of the target user according to the carrier wave selected, the sleep characteristics include respiratory characteristic and/
Or heart rate feature.
It is described according to the channel state information feature in another change embodiment of first aspect present invention, it adopts
With the carrier wave selection algorithm based on auto-correlation function, the top-quality carrier wave of select-out signal, comprising:
For each carrier wave of the radio frequency signal stream, the auto-correlation of the channel state information feature is calculated separately
Function;
Each institute is calculated according to the sum of absolute value of the trough of the first forward quantity of the auto-correlation function and wave crest
State the quality score of carrier wave;
Select the highest carrier wave of the quality score carrier wave best as signal quality.
In another change embodiment of first aspect present invention, the carrier wave that the basis is selected determines that the target is used
The sleep characteristics at family, comprising:
It is described to exhale according to the respiratory characteristic for determining the target user average period of the best carrier wave of the signal quality
Inhaling feature includes respiratory rate.
It is described that institute is determined according to the radio frequency signal stream in another change embodiment of first aspect present invention
State the sleep characteristics of target user, comprising:
The normal-moveout spectrum of the radio frequency signal stream is determined using Doppler-MUSIC algorithm;
Determine that the body of the target user moves feature according to the normal-moveout spectrum.
In another change embodiment of first aspect present invention, transmitted in place locating for the acquisition target user
Radio frequency signal stream, comprising:
Utilize the radio frequency signal stream transmitted in place locating for multiple antennas acquisition target user.
It is described according to sleep state sequence determination in another change embodiment of first aspect present invention
The sleep quality of target user, comprising:
According to the sleep state sequence, sleep quality assessment feature is calculated, wherein the sleep quality assessment feature packet
At least one of it includes: in the corresponding duration of each sleep state, accounting and sleep state switching times;
The sleep quality of the target user is determined according to the sleep quality assessment feature.
Second aspect of the present invention provides a kind of sleep quality monitoring device, comprising:
Signal acquisition module, for acquiring the radio frequency signal stream transmitted in place locating for target user;
Sleep characteristics determining module, for determining that the sleep of the target user is special according to the radio frequency signal stream
Sequence is levied, the sleep characteristics sequence includes the sleep characteristics corresponding to each time window in time window sequence, the sleep
Feature includes that respiratory characteristic, heart rate feature and body move at least one of feature;
Sleep state determining module, for being slept described in determination according to the sleep characteristics and dormant corresponding relationship
The corresponding sleep state sequence of dormancy characteristic sequence;
Sleep quality determining module, for determining the sleep quality of the target user according to the sleep state sequence.
In another change embodiment of second aspect of the present invention, the sleep characteristics determining module, comprising:
Sleep characteristics determination unit corresponds to each time window, is wirelessly penetrated according to described for using slip window sampling
Frequency signal stream determines the sleep characteristics of the target user, obtains the sleep characteristics sequence of the target user.
Another of second aspect of the present invention changes in embodiment, the sleep characteristics determination unit, comprising:
Channel status extracts subelement, for extracting the channel state information feature of the radio frequency signal stream, wherein
The channel state information feature includes: at least one of amplitude and phase difference;
Carrier wave selects subelement, is used for according to the channel state information feature, using the carrier wave based on auto-correlation function
Selection algorithm, the top-quality carrier wave of select-out signal;
Sleep characteristics determine subelement, described for determining the sleep characteristics of the target user according to the carrier wave selected
Sleep characteristics include respiratory characteristic and/or heart rate feature.
In another change embodiment of second aspect of the present invention, the carrier wave selects subelement, comprising:
Auto-correlation function computation subunit calculates separately institute for each carrier wave for the radio frequency signal stream
State the auto-correlation function of channel state information feature;
Carrier-quality computation subunit, for the trough and wave crest according to the first forward quantity of the auto-correlation function
The sum of absolute value calculate the quality score of each carrier wave;
High sub-carrier selects subelement, for selecting the highest carrier wave of the quality score carrier wave best as signal quality.
In another change embodiment of second aspect of the present invention, the sleep characteristics determine subelement, comprising:
Respiratory characteristic determines subelement, for according to determining the mesh average period of the best carrier wave of the signal quality
The respiratory characteristic of user is marked, the respiratory characteristic includes respiratory rate.
In another change embodiment of second aspect of the present invention, the sleep characteristics determination unit, comprising:
Normal-moveout spectrum determines subelement, for determining the speed of the radio frequency signal stream using Doppler-MUSIC algorithm
Degree spectrum;
Body moves feature and determines subelement, for determining that the body of the target user moves feature according to the normal-moveout spectrum.
In another change embodiment of second aspect of the present invention, the signal acquisition module, comprising:
Multi-antenna signal acquisition unit, for utilizing the less radio-frequency transmitted in place locating for multiple antennas acquisition target user
Signal stream.
In another change embodiment of second aspect of the present invention, the sleep quality determining module, comprising:
Sleep Evaluation feature calculation unit, for calculating sleep quality assessment feature according to the sleep state sequence,
In, the sleep quality assessment feature include: in the corresponding duration of each sleep state, accounting and sleep state switching times extremely
One item missing;
Sleep quality determination unit, for determining the sleep matter of the target user according to the sleep quality assessment feature
Amount.
Third aspect present invention provides a kind of terminal device, comprising: memory, processor and is stored on the memory
And the computer program that can be run on the processor, the present invention is executed when the processor runs the computer program to be mentioned
The sleep quality monitoring method of confession.
The sleep quality monitoring method that first aspect present invention provides, comprising: transmitted in place locating for acquisition target user
Radio frequency signal stream;According to the radio frequency signal stream, the sleep characteristics sequence of target user is determined, the sleep is special
Sleep characteristics in sign sequence include that respiratory characteristic, heart rate feature and body move at least one of feature;It is special according to the sleep
Sign and dormant corresponding relationship, determine the corresponding sleep state sequence of the sleep characteristics sequence;According to the sleep shape
State sequence determines the sleep quality of the target user.Compared to the prior art, sleep quality detection method provided by the invention,
It does not need user and wears any electronic probe or signal collecting device, it can be wireless based on what is transmitted in place locating for target user
Radiofrequency signal realizes the monitoring to target user's sleep quality, to solve current sleep in the case where user's unaware
User's wearable electronic device or probe are needed in quality determining method to influence user's sleep quality, reduce user experience
Poor problem.
The terminal device that sleep quality monitoring device that second aspect of the present invention provides, the third aspect provide, with above-mentioned the
On the one hand the sleep quality monitoring method provided is for identical inventive concept, beneficial effect having the same.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 shows a kind of flow chart of sleep quality monitoring method provided by embodiment of the present invention;
Fig. 2 shows a kind of schematic diagrames of sleep quality monitoring device provided by embodiment of the present invention;
Fig. 3 shows a kind of schematic diagram of terminal device provided by embodiment of the present invention.
Specific embodiment
The illustrative embodiments of the disclosure are more fully described below with reference to accompanying drawings.Although showing this public affairs in attached drawing
The illustrative embodiments opened, it being understood, however, that may be realized in various forms the disclosure without the reality that should be illustrated here
The mode of applying is limited.It is to be able to thoroughly understand the disclosure on the contrary, providing these embodiments, and can be by this public affairs
The range opened is fully disclosed to those skilled in the art.
It should be noted that unless otherwise indicated, the technical term or scientific term that the present invention uses should be this hair
The ordinary meaning that bright one of ordinary skill in the art are understood.
The embodiment of the present invention based on principle be:
On the one hand, human body is in sleep procedure, and in different sleep periods, the physical traits such as heartbeat, breathing, turn are
It is discrepant, for example, sleep quality is broadly divided into three big periods: awake phase, rapid eye movement phase (REM) and non-rapid eye movement phase
(NREM), wherein the non-rapid eye movement phase can be divided into either shallow sleep again and (referred to as shallowly sleep) phase and deep sleep (abbreviation sound sleep) phase, this
In inventive embodiments, illustratively by sleep state be divided into awake, rapid eye movement, shallowly sleep with four kinds of sound sleep, correspondingly, will sleep
Dormancy Development stage is the awake phase, the rapid eye movement phase, shallowly sleeps phase and sound sleep phase totally four periods, under normal circumstances, human body this four
The heart rate feature in a period are as follows: (wherein, Z1 indicates the awake phase to Z1 > Z2 > Z3 > Z4, and Z2 indicates the rapid eye movement phase, and Z3 expression is shallowly slept
Phase, Z4 indicate the sound sleep phase).When human body is in non-rapid eye movement, sleep is most deep, and heart rate is minimum at this time, and human body is in the awake phase
Average heart rate is 10-30 times faster than non-rapid eye movement period.In addition, from the non-rapid eye movement phase to the rapid eye movement phase, generally there are hearts rate
The process gradually increased, and be typically accompanied by heart rate to the awake phase from the non-rapid eye movement phase and uprush.Body move feature (such as turn over) with
Dormant relationship are as follows: awake phase body is dynamic more frequently and obvious, and non-rapid eye movement phase and the shallow phase of sleeping may also occur once in a while
Body it is dynamic, but its body moves that amplitude is small, and frequency is low, these bodies, which move feature and can be used as, distinguishes dormant rational basis, in addition,
There is following rule in respiratory cycle in sleep: the respiratory rate of non-rapid eye movement phase is relatively slow and steady, especially breathes most in the sound sleep phase
To be steady, this regular reliability is higher, and the breathing of rapid eye movement phase is very fast and unstable.To sum up, human body awake, rapid eye movement,
It shallowly sleeps and is lower with four periods of sound sleep, movement activity by height.
On the other hand, indoors in environment, the wireless signal of transmitting usually will not reach receiver along directapath.It is true
On, the signal received is usually the multichannel that signal is formed via the reflection of furniture, human body and other barriers, diffraction and scattering
The superposition of signal, this phenomenon are referred to as multipath effect.Physical space limits the propagation of wireless signal, corresponding, wirelessly
Signal can also be used to perceive in turn its physical environment passed through.For example, in quiet place, slight movement
WiFi signal in space can be had an impact, and different movement, different movement ranges, different operating frequencies can be right
The WiFi signal transmitted in space generates different degrees of influence, for example, personnel walking, bend, squat down, heartbeat, breathing etc. it is dynamic
Work can all generate different degrees of influence to WiFi signal, therefore, can be according to the WiFi signal in the target place received
The behavior of personnel in target place is identified.
Above-mentioned two aspect to judge the sleep state of user, embodiment party of the present invention using radio frequency signal
Formula on the basis of above-mentioned principle, provides a kind of sleep quality monitoring method, device and terminal device.With reference to the accompanying drawing
The embodiment of the present invention is illustrated.
Referring to FIG. 1, it illustrates a kind of flow chart of sleep quality monitoring method provided by embodiment of the present invention,
The sleep quality monitoring method the following steps are included:
Step S101: the radio frequency signal stream transmitted in place locating for acquisition target user.
The target user is object to be monitored, in the embodiment of the present invention, place that can in advance locating for target user
If wireless transmitter and wireless receiver are installed in bedroom, radio frequency signal is emitted by the wireless transmitter, it is described wirelessly to penetrate
Frequency signal is received after reflection, diffraction and scattering occur in the place by the wireless receiver, in order to entire sleep
Process is monitored, and the wireless transmitter is needed continuously to emit radio frequency signal, and continuous radio frequency signal forms nothing
Then line radiofrequency signal stream acquires the radio frequency signal stream by wireless receiver.
The wireless transmitter and wireless receiver can be any equipment for transmitting/receiving function with radio frequency signal,
Such as wireless router, wireless signal booster, laptop, tablet computer, mobile phone.The radio frequency signal can be
WiFi signal is also possible to other frequency ranges such as ZigBee or the radio frequency signal based on other transport protocols.
It is considered that currently, the data mode that the action recognition based on radio frequency signal obtains mainly has RSS, (English is complete
Claim: Received Signal Strength, Chinese: received signal strength) and CSI (full name in English: Channel
State Information, Chinese: channel state information) two kinds.Wherein, CSI considers antenna number and subcarrier
Number, the channel including subcarrier each in frequency domain, can once obtain it is multiple change over time and keep stable CSI value,
Data more more than RSS and more fine-grained information source can be measured, can be used for more accurately identifying the sleep shape of user
State improves the accuracy of sleep detection, in order to be realized based on CSI to dormant detection, the radio frequency signal
Stream needs to transmit using multi-transceiver technology, correspondingly, the wireless transmitter and the wireless receiver should be more using supporting
The wireless transmitting-receiving equipments of carrier transmission technique, for example, using Orthodoxy Frequency Division Multiplex (full name in English: Orthogonal
Frequency Division Multiplexing, English abbreviation: OFDM) technology WiFi router etc..
The wireless transmitter should be equipped at least one transmitting antenna, and the wireless receiver should be equipped at least one
Receiving antenna, in order to obtain better signal acquisition effect, the transmitting antenna and the receiving antenna can use vertical pole
The omnidirectional antenna of change is realized, since user is recumbency in sleep, in order to further ensure signal acquisition effect, and the transmitting
Antenna and the receiving antenna can be parallel to ground setting.
In some embodiments, the radio frequency signal stream transmitted in place locating for the acquisition target user, comprising:
Utilize the radio frequency signal stream transmitted in place locating for multiple antennas acquisition target user.By multiple antennas, can collect
The radio frequency signal stream of multicarrier is conducive to the sleep state that target user is determined by phase difference, due to phase difference be because
Caused by for the distance between two antennas, so it contains Spatial diversity, and since phase difference includes least a portion of height
This noise, these Gaussian noises can be removed by some denoising modes, and therefore, phase difference is very sensitive to the activity of user,
Carrying out dormant detection based on phase difference feature has better robustness and accuracy.
Step S102: according to the radio frequency signal stream, determining the sleep characteristics sequence of the target user, described to sleep
Dormancy characteristic sequence includes the sleep characteristics corresponding to each time window in time window sequence, and the sleep characteristics include that breathing is special
Sign, heart rate feature and body move at least one of feature.
Since the sleep of user generally requires persistently several hours time, entire sleeping time includes a variety of sleep states
Alternating, therefore, it is necessary to which entire sleep period is cut into multiple time windows, as unit of the time window, judgement should
The corresponding sleep state of time window, so as to obtain corresponding sleep state sequence according to the radio frequency signal stream,
And then the sleep quality of target user is judged according to the sleep state sequence.
In the specific implementation, can be implemented using slip window sampling, it is described according to the radio frequency signal stream, determine institute
State the sleep characteristics sequence of target user, comprising: use slip window sampling, correspond to each time window, according to described wireless
Radiofrequency signal stream determines the sleep characteristics of the target user, obtains the sleep characteristics sequence of the target user.Wherein, described
Time window in slip window sampling can be set to 30 seconds, 60 seconds etc., and those skilled in the art can be in conjunction with actual demand spirit
Setting living.
In some embodiments, described to determine that the sleep of the target user is special according to the radio frequency signal stream
It levies, may include:
Extract the channel state information feature of the radio frequency signal stream, wherein the channel state information feature packet
It includes: at least one of amplitude and phase difference;
According to the channel state information feature, using the carrier wave selection algorithm based on auto-correlation function, select-out signal matter
Measure best carrier wave;
Determine the sleep characteristics of the target user according to the carrier wave selected, the sleep characteristics include respiratory characteristic and/
Or heart rate feature.
Be using the basic principle of auto-correlation function: when cyclically-varying is presented in signal, auto-correlation function is in class sin
Type variation (around 0 fluctuation, peak, paddy, peak are alternately present), wherein trough is alternately present with wave crest, and valley is less than zero, peak value
Greater than zero.
Wherein, described according to the channel state information feature, using the carrier wave selection algorithm based on auto-correlation function, choosing
The best carrier wave of signal quality out may include:
For each carrier wave of the radio frequency signal stream, the auto-correlation of the channel state information feature is calculated separately
Function;
Each institute is calculated according to the sum of absolute value of the trough of the first forward quantity of the auto-correlation function and wave crest
State the quality score of carrier wave;
Select the highest carrier wave of the quality score carrier wave best as signal quality.
For example, can former 3 troughs and preceding 3 wave crests quality score as current carrier of the sum of absolute value, when
Quality score thinks that breathing can survey when being greater than given threshold value, to select the highest carrier wave of scoring and extract its corresponding breathing
Frequency.
In some embodiments, the carrier wave that the basis is selected determines the sleep characteristics of the target user, can wrap
It includes:
It is described to exhale according to the respiratory characteristic for determining the target user average period of the best carrier wave of the signal quality
Inhaling feature includes respiratory rate or respiratory cycle.
For example, can use the respiratory cycle that following formula calculates the target user:
Respiratory cycle=2* (the average distance * (1/ sample rate) between peak/valley)
By above embodiment, can be picked out using the carrier wave selection algorithm based on auto-correlation function signal quality compared with
Good carrier wave, and determine therefrom that the respiratory characteristic and/or heart rate feature of target user, accuracy with higher.Further, since
Amplitude and phase difference are theoretically complementary, therefore, when the channel state information feature includes amplitude and phase difference, this implementation
Mode can be realized comprehensive no dead angle covering, be avoided missing inspection with the whole region in place locating for coverage goal user.In addition, working as
When using the radio frequency signal stream transmitted in place locating for multiple antennas acquisition target user, the application reality can also be effectively improved
The measurability of mode is applied, the accuracy of sleep quality monitoring is improved.
In some embodiments, described to determine that the sleep of the target user is special according to the radio frequency signal stream
It levies, may include:
The normal-moveout spectrum of the radio frequency signal stream is determined using Doppler-MUSIC algorithm;
Determine that the body of the target user moves feature according to the normal-moveout spectrum.
Wherein, the body, which moves feature, can include but is not limited to normal-moveout spectrum standard deviation, duration, path change speed
Degree, normal-moveout spectrum peak energy etc., moving feature according to above-mentioned body may determine that whether target user sends out in corresponding time window
Raw body is dynamic, and then judges the sleep state of the target user in the time window.
Wherein, the Doppler-MUSIC (full name in English: Doppler-Multiple Signal
Classification Algorithm) algorithm, it can be by comprehensively utilizing different antennae in same radio frequency signal equipment
Radio frequency signal, phase of received signal is calibrated, and by MUSIC algorithm calculate receive signal doppler velocity
Spectrum.It can refer to following article and understood and changed implementation: IndoTrack:Device-Free Indoor Human
(2017) Tracking with Commodity Wi-Fi.IMWUT 1 (3): 72:1-72:22, Xiang Li, Daqing
Zhang,Qin Lv,Jie Xiong,Shengjie Li,Yue Zhang,Hong Mei.It should be noted that described wirelessly penetrate
The normal-moveout spectrum of frequency signal stream includes the doppler velocity spectrum of the radio frequency signal stream.
By above embodiment, it can accurately judge that body of the target user in sleep procedure moves feature, and then really
Set the goal the sleep state of user.
It should be noted that above-mentioned sleep characteristics be as unit of the time window determine, thus obtain with it is described
The one-to-one sleep characteristics of time window, the sleep characteristics sort in chronological order to be obtained and the radio frequency signal stream
Corresponding sleep characteristics sequence.
Step S103: according to the sleep characteristics and dormant corresponding relationship, the sleep characteristics sequence pair is determined
The sleep state sequence answered.
It in this step, needs as unit of time window, according to the sleep characteristics and dormant corresponding relationship, sentences
Break the corresponding sleep state of each time window, so that it is determined that the corresponding sleep state sequence of the sleep characteristics sequence.
Human body is under different sleep states, and the sleep characteristics such as breathing, heart rate, body are dynamic can have differences, this is big
Amount it is demonstrated experimentally that and the prior art a large amount of summaries, therefore, the application have been done to the corresponding relationship of sleep state and sleep characteristics
Embodiment can construct each sleep characteristics and sleep according to the analysis in the prior art to sleep state and sleep characteristics in advance
Corresponding relationship between state, and then according to the corresponding relationship and the corresponding sleep state of each time window, determine each time
The corresponding sleep state of window, to obtain the corresponding sleep state sequence of the sleep characteristics sequence.
Step S104: the sleep quality of the target user is determined according to the sleep state sequence.
It, can be according to the sleep shape after determination obtains sleep state sequence corresponding with the radio frequency signal stream
State sequence carries out the statistics of sleep quality assessment feature, and then evaluates the sleep quality of target user, for example, in this hair
In other embodiments of bright offer, the sleep quality that the target user is determined according to the sleep state sequence,
May include:
According to the sleep state sequence, sleep quality assessment feature is calculated, wherein the sleep quality assessment feature packet
At least one of it includes: in the corresponding duration of each sleep state, accounting and sleep state switching times;
The sleep quality of the target user is determined according to the sleep quality assessment feature.
When it is implemented, can be provided according to the prior art any after extracting the sleep quality assessment feature of needs
The evaluation method of sleep quality evaluates the sleep quality of target user, for example, it was found that during deep sleep, machine
Body can make histoorgan self-regeneration by metabolism, therefore in sleep procedure, deep sleep should have certain accounting,
Such as, it is considered that its accounting should about 20%-60%, then think that sleep quality is poor beyond above range.Based on above stating
It is bright, corresponding classification thresholds can be set for each sleep state, and be the corresponding scoring of each classification thresholds setting, for example, deep
Sleeping accounting between 30%-50% scoring is 5 points, is 4 points between 50%-60% scoring, is 3 points between 20%-30% scoring, surpasses
Crossing 60% scoring is 2 points, is 1 point lower than 20% scoring;It is given a mark according to each dormant accounting, then weighting obtains most
Whole marking result is as sleep quality assessment result.
More than, it is a kind of exemplary illustration for stating sleep quality monitoring method that embodiment of the present invention provides, compared to
The prior art, sleep quality detection method provided by the invention, does not need any electronic probe of user's wearing or signal acquisition is set
It is standby, it can realize based on the radio frequency signal transmitted in place locating for target user, in the case where user's unaware to mesh
The monitoring for marking user's sleep quality, to solve to need user's wearable electronic device or spy in current sleep quality detection method
Head is to influence user's sleep quality, reduce the poor problem of user experience.
In the above-described embodiment, a kind of sleep quality monitoring method is provided, it is corresponding, the present invention also provides
A kind of sleep quality monitoring device.Referring to FIG. 2, it is a kind of sleep quality monitoring device provided by embodiment of the present invention
Schematic diagram.Since Installation practice is substantially similar to embodiment of the method, so describing fairly simple, related place is referring to side
The part of method embodiment illustrates.Installation practice described below is only schematical.
As shown in Fig. 2, a kind of sleep quality monitoring device 2 provided in an embodiment of the present invention, comprising:
Signal acquisition module 21, for acquiring the radio frequency signal stream transmitted in place locating for target user;
Sleep characteristics determining module 22, for determining the sleep of the target user according to the radio frequency signal stream
Characteristic sequence, the sleep characteristics sequence includes the sleep characteristics corresponding to each time window in time window sequence, described to sleep
Dormancy feature includes that respiratory characteristic, heart rate feature and body move at least one of feature;
Sleep state determining module 23, described in determining according to the sleep characteristics and dormant corresponding relationship
The corresponding sleep state sequence of sleep characteristics sequence;
Sleep quality determining module 24, for determining the sleep matter of the target user according to the sleep state sequence
Amount.
In another change embodiment of the embodiment of the present invention, the sleep characteristics determining module 22, comprising:
Sleep characteristics determination unit corresponds to each time window, is wirelessly penetrated according to described for using slip window sampling
Frequency signal stream determines the sleep characteristics of the target user, obtains the sleep characteristics sequence of the target user.
Another of the embodiment of the present invention changes in embodiment, the sleep characteristics determination unit, comprising:
Channel status extracts subelement, for extracting the channel state information feature of the radio frequency signal stream, wherein
The channel state information feature includes: at least one of amplitude and phase difference;
Carrier wave selects subelement, is used for according to the channel state information feature, using the carrier wave based on auto-correlation function
Selection algorithm, the top-quality carrier wave of select-out signal;
Sleep characteristics determine subelement, described for determining the sleep characteristics of the target user according to the carrier wave selected
Sleep characteristics include respiratory characteristic and/or heart rate feature.
In another change embodiment of the embodiment of the present invention, the carrier wave selects subelement, comprising:
Auto-correlation function computation subunit calculates separately institute for each carrier wave for the radio frequency signal stream
State the auto-correlation function of channel state information feature;
Carrier-quality computation subunit, for the trough and wave crest according to the first forward quantity of the auto-correlation function
The sum of absolute value calculate the quality score of each carrier wave;
High sub-carrier selects subelement, for selecting the highest carrier wave of the quality score carrier wave best as signal quality.
In another change embodiment of the embodiment of the present invention, the sleep characteristics determine subelement, comprising:
Respiratory characteristic determines subelement, for according to determining the mesh average period of the best carrier wave of the signal quality
The respiratory characteristic of user is marked, the respiratory characteristic includes respiratory rate.
In another change embodiment of the embodiment of the present invention, the sleep characteristics determination unit, comprising:
Normal-moveout spectrum determines subelement, for determining the speed of the radio frequency signal stream using Doppler-MUSIC algorithm
Degree spectrum;
Body moves feature and determines subelement, for determining that the body of the target user moves feature according to the normal-moveout spectrum.
In another change embodiment of the embodiment of the present invention, the signal acquisition module 21, comprising:
Multi-antenna signal acquisition unit, for utilizing the less radio-frequency transmitted in place locating for multiple antennas acquisition target user
Signal stream.
In another change embodiment of the embodiment of the present invention, the sleep quality determining module 24, comprising:
Sleep Evaluation feature calculation unit, for calculating sleep quality assessment feature according to the sleep state sequence,
In, the sleep quality assessment feature include: in the corresponding duration of each sleep state, accounting and sleep state switching times extremely
One item missing;
Sleep quality determination unit, for determining the sleep matter of the target user according to the sleep quality assessment feature
Amount.
Sleep quality monitoring device 2 provided in an embodiment of the present invention, the sleep quality provided with present invention
Monitoring method is for identical inventive concept, beneficial effect having the same.
In the above-described embodiment, a kind of sleep quality monitoring method and device are provided, corresponding, the present invention
A kind of terminal device is also provided, the terminal device can be any calculating equipment with data-handling capacity, as server,
Desktop computer, laptop, tablet computer, mobile phone etc..Referring to FIG. 3, Fig. 3 is a kind of end provided in an embodiment of the present invention
The schematic diagram of end equipment.As shown in figure 3, the terminal device 3 includes: processor 30, memory 31, bus 32 and communication interface
33, the processor 30, communication interface 33 and memory 31 are connected by bus 32;Being stored in the memory 31 can be in institute
The computer program run on processor 30 is stated, the processor 30 executes provided by the invention when running the computer program
Sleep quality monitoring method.
Wherein, memory 31 may include high-speed random access memory (RAM:Random Access Memory),
It may further include non-labile memory (non-volatile memory), for example, at least a magnetic disk storage.By extremely
A few communication interface 33 (can be wired or wireless) is realized logical between the system network element and at least one other network element
Letter connection, can be used internet, wide area network, local network, Metropolitan Area Network (MAN) etc..
Bus 32 can be isa bus, pci bus or eisa bus etc..The bus can be divided into address bus, data
Bus, control bus etc..Wherein, memory 31 is for storing program, and the processor 30 executes after receiving and executing instruction
Described program, the sleep quality monitoring method that aforementioned any embodiment of the embodiment of the present invention discloses can be applied to handle
In device 30, or realized by processor 30.
Processor 30 may be a kind of IC chip, the processing capacity with signal.During realization, above-mentioned side
Each step of method can be completed by the integrated logic circuit of the hardware in processor 30 or the instruction of software form.Above-mentioned
Processor 30 can be general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network
Processor (Network Processor, abbreviation NP) etc.;It can also be digital signal processor (DSP), specific integrated circuit
(ASIC), ready-made programmable gate array (FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components.It may be implemented or execute disclosed each method, step and the logic diagram in the embodiment of the present invention.It is general
Processor can be microprocessor or the processor is also possible to any conventional processor etc..In conjunction with institute of the embodiment of the present invention
The step of disclosed method, can be embodied directly in hardware decoding processor and execute completion, or with the hardware in decoding processor
And software module combination executes completion.Software module can be located at random access memory, and flash memory, read-only memory may be programmed read-only
In the storage medium of this fields such as memory or electrically erasable programmable memory, register maturation.The storage medium is located at
The step of memory 31, processor 30 reads the information in memory 31, completes the above method in conjunction with its hardware.
Terminal device provided in an embodiment of the present invention is with sleep quality monitoring method provided in an embodiment of the present invention for phase
Same inventive concept, beneficial effect having the same.
It should be noted that the flow chart and block diagram in the drawings show the system of multiple embodiments according to the present invention,
The architecture, function and operation in the cards of method and computer program product.In this regard, in flowchart or block diagram
Each box can represent a part of a module, section or code, a part packet of the module, section or code
Containing one or more executable instructions for implementing the specified logical function.It should also be noted that in some realities as replacement
In existing, function marked in the box can also occur in a different order than that indicated in the drawings.For example, two continuous sides
Frame can actually be basically executed in parallel, they can also be executed in the opposite order sometimes, this according to related function and
It is fixed.It is also noted that the group of each box in block diagram and or flow chart and the box in block diagram and or flow chart
It closes, can be realized with the dedicated hardware based system for executing defined function or movement, or specialized hardware can be used
Combination with computer instruction is realized.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided by the present invention, it should be understood that disclosed device and method can pass through it
Its mode is realized.The apparatus embodiments described above are merely exemplary, for example, the division of the unit, only
A kind of logical function partition, there may be another division manner in actual implementation, in another example, multiple units or components can combine
Or it is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed phase
Coupling, direct-coupling or communication connection between mutually can be through some communication interfaces, the INDIRECT COUPLING of device or unit or
Communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations;To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement;And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme should all cover within the scope of the claims and the description of the invention.
Claims (10)
1. a kind of sleep quality monitoring method characterized by comprising
Acquire the radio frequency signal stream transmitted in place locating for target user;
According to the radio frequency signal stream, the sleep characteristics sequence of the target user, the sleep characteristics sequence packet are determined
The sleep characteristics for corresponding to each time window in time window sequence are included, the sleep characteristics include respiratory characteristic, heart rate feature
At least one of feature is moved with body;
According to the sleep characteristics and dormant corresponding relationship, the corresponding sleep state sequence of the sleep characteristics sequence is determined
Column;
The sleep quality of the target user is determined according to the sleep state sequence.
2. sleep quality monitoring method according to claim 1, which is characterized in that described according to the radio frequency signal
Stream, determines the sleep characteristics sequence of the target user, comprising:
Using slip window sampling, corresponds to each time window, the target user is determined according to the radio frequency signal stream
Sleep characteristics, obtain the sleep characteristics sequence of the target user.
3. sleep quality monitoring method according to claim 2, which is characterized in that described according to the radio frequency signal
Stream determines the sleep characteristics of the target user, comprising:
Extract the channel state information feature of the radio frequency signal stream, wherein the channel state information feature includes: vibration
At least one of width and phase difference;
According to the channel state information feature, using the carrier wave selection algorithm based on auto-correlation function, select-out signal quality is most
Good carrier wave;
Determine that the sleep characteristics of the target user, the sleep characteristics include respiratory characteristic and/or the heart according to the carrier wave selected
Rate feature.
4. sleep quality monitoring method according to claim 3, which is characterized in that described according to the channel state information
Feature, using the carrier wave selection algorithm based on auto-correlation function, the top-quality carrier wave of select-out signal, comprising:
For each carrier wave of the radio frequency signal stream, the auto-correlation letter of the channel state information feature is calculated separately
Number;
Each load is calculated according to the sum of absolute value of the trough of the first forward quantity of the auto-correlation function and wave crest
The quality score of wave;
Select the highest carrier wave of the quality score carrier wave best as signal quality.
5. sleep quality monitoring method according to claim 3, which is characterized in that the carrier wave that the basis is selected determines institute
State the sleep characteristics of target user, comprising:
According to the respiratory characteristic for determining the target user average period of the best carrier wave of the signal quality, the breathing is special
Sign includes respiratory rate.
6. sleep quality monitoring method according to claim 2, which is characterized in that described according to the radio frequency signal
Stream determines the sleep characteristics of the target user, comprising:
The normal-moveout spectrum of the radio frequency signal stream is determined using Doppler-MUSIC algorithm;
Determine that the body of the target user moves feature according to the normal-moveout spectrum.
7. sleep quality monitoring method according to claim 1, which is characterized in that place locating for the acquisition target user
The radio frequency signal stream of interior transmission, comprising:
Utilize the radio frequency signal stream transmitted in place locating for multiple antennas acquisition target user.
8. sleep quality monitoring method according to claim 1, which is characterized in that described according to the sleep state sequence
Determine the sleep quality of the target user, comprising:
According to the sleep state sequence, sleep quality assessment feature is calculated, wherein the sleep quality assessment feature includes:
At least one of in the corresponding duration of each sleep state, accounting and sleep state switching times;
The sleep quality of the target user is determined according to the sleep quality assessment feature.
9. a kind of sleep quality monitoring device characterized by comprising
Signal acquisition module, for acquiring the radio frequency signal stream transmitted in place locating for target user;
Sleep characteristics determining module, for determining the sleep characteristics sequence of the target user according to the radio frequency signal stream
Column, the sleep characteristics sequence include the sleep characteristics corresponding to each time window in time window sequence, the sleep characteristics
At least one of feature is moved including respiratory characteristic, heart rate feature and body;
Sleep state determining module, for determining that the sleep is special according to the sleep characteristics and dormant corresponding relationship
Levy the corresponding sleep state sequence of sequence;
Sleep quality determining module, for determining the sleep quality of the target user according to the sleep state sequence.
10. a kind of terminal device, comprising: memory, processor and be stored on the memory and can be on the processor
The computer program of operation, which is characterized in that perform claim requires 1-8 any when the processor runs the computer program
Sleep quality monitoring method described in.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811269887.9A CN109363647B (en) | 2018-10-29 | 2018-10-29 | Sleep quality monitoring method and device and terminal equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811269887.9A CN109363647B (en) | 2018-10-29 | 2018-10-29 | Sleep quality monitoring method and device and terminal equipment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109363647A true CN109363647A (en) | 2019-02-22 |
CN109363647B CN109363647B (en) | 2022-07-19 |
Family
ID=65390308
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811269887.9A Active CN109363647B (en) | 2018-10-29 | 2018-10-29 | Sleep quality monitoring method and device and terminal equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109363647B (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110013252A (en) * | 2019-04-18 | 2019-07-16 | 北京邮电大学 | Obtain method, apparatus, electronic equipment and the readable storage medium storing program for executing of respiratory state |
CN110236491A (en) * | 2019-05-16 | 2019-09-17 | 华南师范大学 | A kind of sleep stage monitoring method |
CN111358448A (en) * | 2020-03-23 | 2020-07-03 | 珠海格力电器股份有限公司 | Sleep regulation method and device |
CN111803054A (en) * | 2020-06-12 | 2020-10-23 | 中国人民解放军陆军军医大学 | Method and instrument for evaluating ventricular fibrillation signal quality and defibrillation success rate in real time |
CN112716449A (en) * | 2020-12-23 | 2021-04-30 | 西安皑鸥软件科技有限公司 | Method and system for monitoring human sleep state based on mobile device |
CN113456061A (en) * | 2021-06-16 | 2021-10-01 | 南京润楠医疗电子研究院有限公司 | Sleep posture monitoring method and system based on wireless signals |
CN113842111A (en) * | 2020-06-28 | 2021-12-28 | 珠海格力电器股份有限公司 | Sleep staging method and device, computing equipment and storage medium |
TWI816614B (en) * | 2022-12-01 | 2023-09-21 | 啟碁科技股份有限公司 | Sleep monitoring system and sleep monitoring method |
WO2023241469A1 (en) * | 2022-06-13 | 2023-12-21 | 华为技术有限公司 | Sleep monitoring method and device |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8411807B1 (en) * | 2008-09-02 | 2013-04-02 | Cisco Technology, Inc. | Mid-packet clear channel assessment |
CN104224132A (en) * | 2014-09-26 | 2014-12-24 | 天彩电子(深圳)有限公司 | Monitoring device and monitoring method for sleep |
CN106419841A (en) * | 2016-09-13 | 2017-02-22 | 深圳市迈迪加科技发展有限公司 | Method, device and system for evaluating sleep |
CN106725488A (en) * | 2016-12-27 | 2017-05-31 | 深圳大学 | A kind of wireless field density breathing detection method, device and breathing detection instrument |
CN106725383A (en) * | 2016-12-28 | 2017-05-31 | 天津众阳科技有限公司 | Sleep state judgement system and method based on action and heart rate |
CN107331136A (en) * | 2017-05-11 | 2017-11-07 | 深圳市斑点猫信息技术有限公司 | Indoor human body activity detection approach and system based on WiFi |
CN108289653A (en) * | 2015-09-15 | 2018-07-17 | 皇家飞利浦有限公司 | Device and method for determining fetal heart frequency |
US20180239014A1 (en) * | 2015-08-14 | 2018-08-23 | Resmed Sensor Technologies Limited | Digital range gated radio frequency sensor |
-
2018
- 2018-10-29 CN CN201811269887.9A patent/CN109363647B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8411807B1 (en) * | 2008-09-02 | 2013-04-02 | Cisco Technology, Inc. | Mid-packet clear channel assessment |
CN104224132A (en) * | 2014-09-26 | 2014-12-24 | 天彩电子(深圳)有限公司 | Monitoring device and monitoring method for sleep |
US20180239014A1 (en) * | 2015-08-14 | 2018-08-23 | Resmed Sensor Technologies Limited | Digital range gated radio frequency sensor |
CN108289653A (en) * | 2015-09-15 | 2018-07-17 | 皇家飞利浦有限公司 | Device and method for determining fetal heart frequency |
CN106419841A (en) * | 2016-09-13 | 2017-02-22 | 深圳市迈迪加科技发展有限公司 | Method, device and system for evaluating sleep |
CN106725488A (en) * | 2016-12-27 | 2017-05-31 | 深圳大学 | A kind of wireless field density breathing detection method, device and breathing detection instrument |
CN106725383A (en) * | 2016-12-28 | 2017-05-31 | 天津众阳科技有限公司 | Sleep state judgement system and method based on action and heart rate |
CN107331136A (en) * | 2017-05-11 | 2017-11-07 | 深圳市斑点猫信息技术有限公司 | Indoor human body activity detection approach and system based on WiFi |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110013252A (en) * | 2019-04-18 | 2019-07-16 | 北京邮电大学 | Obtain method, apparatus, electronic equipment and the readable storage medium storing program for executing of respiratory state |
CN110013252B (en) * | 2019-04-18 | 2021-03-23 | 北京邮电大学 | Method and device for acquiring respiratory state, electronic equipment and readable storage medium |
CN110236491A (en) * | 2019-05-16 | 2019-09-17 | 华南师范大学 | A kind of sleep stage monitoring method |
CN111358448A (en) * | 2020-03-23 | 2020-07-03 | 珠海格力电器股份有限公司 | Sleep regulation method and device |
CN111803054A (en) * | 2020-06-12 | 2020-10-23 | 中国人民解放军陆军军医大学 | Method and instrument for evaluating ventricular fibrillation signal quality and defibrillation success rate in real time |
CN111803054B (en) * | 2020-06-12 | 2023-04-07 | 中国人民解放军陆军军医大学 | Method and instrument for evaluating ventricular fibrillation signal quality and defibrillation success rate in real time |
CN113842111A (en) * | 2020-06-28 | 2021-12-28 | 珠海格力电器股份有限公司 | Sleep staging method and device, computing equipment and storage medium |
CN112716449A (en) * | 2020-12-23 | 2021-04-30 | 西安皑鸥软件科技有限公司 | Method and system for monitoring human sleep state based on mobile device |
CN113456061A (en) * | 2021-06-16 | 2021-10-01 | 南京润楠医疗电子研究院有限公司 | Sleep posture monitoring method and system based on wireless signals |
WO2023241469A1 (en) * | 2022-06-13 | 2023-12-21 | 华为技术有限公司 | Sleep monitoring method and device |
TWI816614B (en) * | 2022-12-01 | 2023-09-21 | 啟碁科技股份有限公司 | Sleep monitoring system and sleep monitoring method |
Also Published As
Publication number | Publication date |
---|---|
CN109363647B (en) | 2022-07-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109363647A (en) | Sleep quality monitoring method, device and terminal device | |
Zhao et al. | CRH: A contactless respiration and heartbeat monitoring system with COTS RFID tags | |
Lee et al. | Design and implementation of monitoring system for breathing and heart rate pattern using WiFi signals | |
KR102397311B1 (en) | Method of Recognizing Daily Activities of Living-alone Person Using Channel State Information between WiFi Transmitter and WiFi Receiver | |
Ravichandran et al. | WiBreathe: Estimating respiration rate using wireless signals in natural settings in the home | |
CN104352224B (en) | System and method for monitoring cardiorespiratory parameters | |
Wang et al. | TinySense: Multi-user respiration detection using Wi-Fi CSI signals | |
KR102023991B1 (en) | Device of transmitting a bio signal, device of receiving the bio signal, and method thereof | |
Li et al. | Mo-sleep: Unobtrusive sleep and movement monitoring via Wi-Fi signal | |
Yang et al. | AutoTag: Recurrent variational autoencoder for unsupervised apnea detection with RFID tags | |
EP3692898A1 (en) | Sleep/motion determination based on wi-fi signals | |
Yang et al. | Unsupervised detection of apnea using commodity RFID tags with a recurrent variational autoencoder | |
CN110353649A (en) | A kind of heart rate detection method | |
KR20210017004A (en) | Contactless sleeping analyzing apparatus and method using radar sensor | |
US20230139637A1 (en) | Vital sign monitoring via remote sensing on stationary exercise equipment | |
CN109480800A (en) | For estimating the device and method and blood pressure monitoring device of biological information | |
Yang et al. | Robust RFID-based respiration monitoring in dynamic environments | |
Altini et al. | Cardiorespiratory fitness estimation using wearable sensors: Laboratory and free-living analysis of context-specific submaximal heart rates | |
Uysal et al. | RF-based noncontact respiratory rate monitoring with parametric spectral estimation | |
CN115474901A (en) | Non-contact living state monitoring method and system based on wireless radio frequency signals | |
Fan et al. | Small-scale perception in medical body area networks | |
Leutheuser et al. | Textile integrated wearable technologies for sports and medical applications | |
Uysal et al. | Contactless respiration rate estimation using MUSIC algorithm | |
Xu et al. | Respiratory rate estimation of standing and sitting people using WiFi signals | |
Yang et al. | Sleep apnea monitoring system based on commodity wifi devices |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |