CN105982642A - Sleep detection method and detection system based on body vibration signals - Google Patents
Sleep detection method and detection system based on body vibration signals Download PDFInfo
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Abstract
The invention provides a sleep detection method and detection system based on body vibration signals. The system comprises a first amplifier, a filter, two second amplifiers, an analogue/digital signal converter, a signal interface and a server sequentially connected with a sensor, wherein the first amplifier is connected with the signal interface; one second amplifier is connected with the signal interface; and the server is used for analyzing the received signals and outputs the analysis result to information terminal equipment. The detection method comprises the following steps: collecting the body movement signals, and judging the sleep state according to the waveform amplitude variance of the body movement signals; converting the body vibration signals into electric signals by a piezoelectric sensor; extracting the breathing heart rate through the signal processing circuits such as an amplifying module; and evaluating the sleep quality by use of a sleep detection algorithm established based on movement amplitude, heart rate and breath. The test result indicates relatively high accuracy; and the method does not influence normal life of a user and is of great significance to non-contact sleep detection.
Description
Technical field
The present invention relates to a kind of sleep detection method and detecting system, particularly relate to a kind of sleep detection side based on body shake signal
Method and detecting system.
Background technology
People has the time of 1/3rd to spend in sleep, sleeps to the assessment operating pressure of people, fatigue strength and spirit shape
The daily life situation important in inhibitings such as condition.Medically structure and the understanding of process to sleep, is to utilize to lead hypnotic instrument more
Complete.It can carry out whole day monitoring, records every physical signs in time, has the real-time monitoring capabilities such as warning, but
Being that these equipment focus primarily upon hospital and institute, its price up to a million constrains its popularization.In the last few years, along with shifting
The popularization of dynamic application mode, the Development Level of the detector of miniaturization miniaturization improves constantly.Follow the trail of sleep quality and also become many
The function that the wearable product of current popular is paid close attention to.Action, thoracic cavity expansion contraction, cardiac pumping all can cause human body and and people
The vibrations of body contact object, gather these vibrations, are converted to the signal of telecommunication through piezoelectric transducer, at the signals such as amplification module
Reason circuit, then be transferred to backstage and carry out pretreatment, the design is exactly that such a is set up based on movement range, heart rate, breathing
Sleep detection algorithm, obtain sleep quality assessment.
In the middle of current biomedical engineering research, the various physiological signals of human body are acquired and process, conventional measurement by we
Amount heart rate and the mode of breathing, be to utilize electrode or sensor directly to contact human body, human body produces certain constraint, so that being subject to
Examination person produces certain psychological burden.
Therefore, it is necessary to propose a kind of new sleep detection method based on body shake signal and detecting system solves the problems referred to above.
Summary of the invention
The shortcoming of prior art in view of the above, it is an object of the invention to provide a kind of sleep detection side based on body shake signal
Method and detecting system, be used for solving sleep detection instrument price in prior art high, and can only use in hospital and institute and not have
The problem having popularization, and be used for solving sleep detection instrument of the prior art and have human body certain constraint to make experimenter produce
The problem of psychological burden.
For achieving the above object and other relevant purposes, the present invention provides a kind of sleep detection method based on body shake signal, this body
Shake signal at least includes: body movement signal, heart impact signal and breath signal, it is characterised in that described detection method is at least wrapped
Include: sleep state is divided into awakening phase, rapid eye movement phase and nonrapid eye movements (NREM) phase by (1)；The nonrapid eye movements (NREM) phase includes shallow sleeping the phase
With the sound sleep phase；(2) body movement signal is collected；Variance according to described body movement signal wave-shape amplitude judges sleep state；If waveform
Amplitude mean square deviation/wave-shape amplitude minima and wave-shape amplitude mean square deviation/both wave-shape amplitude meansigma methodss present rising trend the most respectively
And it being increased to 25 and more than 2 respectively, sleep state is the awakening phase；It it is otherwise the non-awakening phase；(3) if the non-awakening phase, and
Described wave-shape amplitude mean square deviation/wave-shape amplitude minima and wave-shape amplitude mean square deviation/both wave-shape amplitude meansigma methodss present the most respectively
During downward trend, it is defined as the awakening phase to the shallow state switching sleeping the phase；When described wave-shape amplitude mean square deviation/wave-shape amplitude minima and
Wave-shape amplitude mean square deviation/both wave-shape amplitude meansigma methodss drop to 3 and less than 0.2 respectively, determine that sleep state is the sound sleep phase；(4)
Described sleep state is judged in conjunction with described heart impact signal and breath signal；If the variability of the heart impact signal of the first half of the night is with sleep
The increase of time and increase, and breath signal is unstable, is defined as the rapid eye movement phase；(5) described breath signal checking step is combined
Suddenly the sound sleep phase in (3)；If breath signal after midnight is steadily, it is defined as the sound sleep phase.
As a kind of preferred version of the sleep detection method based on body shake signal of the present invention, described body movement signal includes: extremity
Mobile and health overturns.
As a kind of preferred version of the sleep detection method based on body shake signal of the present invention, with 10 points in described step (2)
Zhong Weiyi window, within 5 minutes, collect described body movement signal to advance every time.
As a kind of preferred version of the sleep detection method based on body shake signal of the present invention, described step determines sleep in (2)
State is that the method for awakening phase also includes: be attended by the persistent period big little trick more than 5 seconds.
As a kind of preferred version of the sleep detection method based on body shake signal of the present invention, in described step (3), when described
Wave-shape amplitude mean square deviation/wave-shape amplitude minima and wave-shape amplitude mean square deviation/both wave-shape amplitude meansigma methodss drop to 3 and 0.2 respectively
Hereinafter, if being attended by big little trick, it is determined that sleep state is shallow to sleep the phase.
The present invention also provide for a kind of based on body shake signal sleep detection system, described detecting system at least includes: sensor and
The first amplifier that described sensor connects；The wave filter being connected with described first amplifier；Two be connected with described wave filter
Second amplifier；The analog signal adapter being connected with said two the second amplifier；It is connected with described analog signal adapter
Signaling interface；Described signaling interface connects server；. described first amplifier is connected to described signaling interface；Described wherein one
Individual second amplifier is connected to described signaling interface.Described server is for analyzing the signal received, and analysis result is output in letter
Breath terminal unit.
As a kind of preferred version of the sleep detection system based on body shake signal of the present invention, described sensor is that piezoelectric ceramics passes
Sensor.
As a kind of preferred version of the sleep detection system based on body shake signal of the present invention, described information terminal apparatus includes:
Smart mobile phone, PC or PAD.
As a kind of preferred version of the sleep detection system based on body shake signal of the present invention, described wave filter is that finite impulse rings
Answer wave filter.
As it has been described above, the sleep detection method based on body shake signal of the present invention and detecting system, have the advantages that this
System employs numbness measurement technology based on body shake signal, and detection equipment is pressed under cabinet base, and during test, user is according to practising at ordinary times
It is used to sleep at bed.When heart outside pump blood, health can produce and the power opposite effect power promoting blood to flow, this work
Firmly causing the physical shocks with heartbeat synchronization, produce body shake signal, the rule of body shake signal is relevant to heart rate.Human body simultaneously
Breathing the expansion along with thoracic cavity and contraction each time, this change also can cause slowly varying body shake signal, and these signals lead to
Cross human body and passed to solid, then collected by piezoelectric transducer by solid.Although faint, the sensitivity foot of piezoelectric transducer
Arrive to measure, transmit through a series of signal, isolate heart beating, breathing and people body in bed by algorithm processing module and move.
Native system need not user and dresses the equipment such as bracelet wrist-watch, it is not required that user manually goes adjustment to tell equipment " I before sleeping every day
Sleep, you detect ", user can normal freely daily life work and rest in own home as before.After equipment is installed,
Detect all sleep habits of user silently, need not contact user, heart rate, breathing, activity, get up number of times etc. at night
Situation is all in detection range, as the foundation of sleep diagnosis.
Accompanying drawing explanation
Fig. 1 is shown as the breathing wave filter amplitude-frequency of the present invention and rings figure.
The corresponding schematic diagram of sequential of BCG with ECG that Fig. 2 is shown as the present invention.
Fig. 3 is shown as the sequential correspondence schematic diagram of the original waveform of the present invention, BCG, respiratory wave.
Fig. 4 is shown as experimental data and the comparing result of ZOE sleep monitor data of the present invention.
Fig. 5 is shown as the structure composition schematic diagram of the sleep detection system based on body shake signal of the present invention.
Fig. 6 is shown as the scheme of installation of the sleep detection system based on body shake signal of the present invention.
Element numbers explanation
01 sensor
02 first amplifier
03 ripple device
04 second amplifier
05 analog signal adapter
06 signaling interface
07 server
08 information terminal apparatus
Detailed description of the invention
Below by way of specific instantiation, embodiments of the present invention being described, those skilled in the art can be by disclosed by this specification
Content understand other advantages and effect of the present invention easily.The present invention can also be added by the most different detailed description of the invention
To implement or application, the every details in this specification can also be based on different viewpoints and application, in the essence without departing from the present invention
Various modification or change is carried out under god.
Refer to Fig. 1 to Fig. 6.It should be noted that the diagram provided in the present embodiment illustrates the present invention the most in a schematic way
Basic conception, the most graphic in component count time only display with relevant assembly in the present invention rather than is implemented according to reality, shape
And size drafting, during its actual enforcement, the kenel of each assembly, quantity and ratio can be a kind of random change, and its assembly layout
Kenel is likely to increasingly complex.
The present invention provides a kind of sleep detection method based on body shake signal, and first, in the present embodiment, described body shake signal includes:
Body movement signal, heart impact signal and breath signal.Preferably, the body movement signal in the present embodiment includes: extremity move and body
Body overturns.The described detection method of the present invention at least comprises the following steps:
Step one: sleep state is divided into awakening phase, rapid eye movement phase and nonrapid eye movements (NREM) phase；The nonrapid eye movements (NREM) phase includes shallow
Sleep phase and sound sleep phase；The evaluation of sleep quality is exactly the analysis to Sleep architecture composition in fact.Sleep state is divided by Sleep architecture
(non-for Wake phase (awakening phase), REM phase (rapid eye movement phase, namely generally daydream period described in people), NREM phase
The rapid eye movement phase), wherein NREM is divided into again Light phase (shallow sleep the phase) and Deep phase (sound sleep phase).Wherein, really allow greatly
Brain and trunk are had a rest and period of loosening is the Deep phase.REM phase, Light phase, the summation of Deep phase, it is simply that Wo Mentong
The most described length of one's sleep.Sleep efficiency, is commonly defined as, Sleep efficiency=Deep phase/(the Wake phase+REM phase ,+NREM phase)
× 100%.
One sleep cycle continues 60-120 minute, Light phase to be experienced and Deep phase two states.Healthy People one is whole
The sleep in evening averagely comprises 3-5 such sleep cycle.Wherein, the Deep phase accounts for about 15%, second in sleep cycle
Talent will not feel tired out.
Step 2: collect body movement signal；Variance according to described body movement signal wave-shape amplitude judges sleep state；If waveform width
Degree mean square deviation/wave-shape amplitude minima and wave-shape amplitude mean square deviation/both wave-shape amplitude meansigma methodss present the most respectively rising trend and
Being increased to 25 and more than 2 respectively, sleep state is the awakening phase；It it is otherwise the non-awakening phase；Preferably, body is dynamic amplitude and frequency
Relatively big, generally extremity move or health upset, it is judged that for the Wake phase；Body dynamic very the briefest, amplitude is little, occurrence frequency is low,
It is judged as REM phase or Light phase；Human body keeps tranquil, moves without obvious body, it is judged that for the Deep phase.Preferably, this step
In within 10 minutes, to be a window, within 5 minutes, to collect described body movement signal to advance every time.Meanwhile, this step determines sleep shape
State is that the method for awakening phase also includes: be attended by the persistent period big little trick more than 5 seconds.
Then implement step 3: if the non-awakening phase, and described wave-shape amplitude mean square deviation/wave-shape amplitude minima and wave-shape amplitude equal
When variance/both wave-shape amplitude meansigma methodss present downward trend the most respectively, it is defined as the awakening phase to the shallow state switching sleeping the phase；When
Described wave-shape amplitude mean square deviation/wave-shape amplitude minima and wave-shape amplitude mean square deviation/both wave-shape amplitude meansigma methodss drop to 3 respectively
With less than 0.2, determine that sleep state is the sound sleep phase；Preferably, in this step, when described wave-shape amplitude mean square deviation/wave-shape amplitude
Minima and wave-shape amplitude mean square deviation/both wave-shape amplitude meansigma methodss drop to 3 and less than 0.2 respectively, if being attended by big little trick,
Then determine that sleep state is shallow to sleep the phase.
Then step 4 is implemented: on the basis of step 3, combine described heart impact signal and breath signal judges described sleep state；
If the variability of the heart impact signal of the first half of the night increases with the increase of the length of one's sleep, and breath signal is unstable, is defined as quickly
The eye dynamic phase；The normal frequency scope of respiratory wave is 0.1-1Hz, accordingly, digital signal reduces sample rate to 50Hz, designs FIR
Filter cutoff frequency is 0.5Hz, and its amplitude-frequency response is as it is shown in figure 1, environment noise and heart beating interference can effectively be removed, individually
Extract respiratory wave.The body shake signal produced by heart outside pump blood is referred to as heart impact signal, describes the figure of the signal of heart impact
Table is referred to as ballistocardiogram (Ballistocardiogram is called for short BCG).BCG was suggested as far back as 1961, due at that time
The restriction of scientific and technological level, only rests on the category of theoretical research.Along with Modern Sensor Technology and the development of signal processing technology,
BCG gradually comes into one's own in terms of contactless unaware physiological signal measurements.As in figure 2 it is shown, through 2-35Hz bandpass filtering
The BCG (top lines) of rear gained and electrocardiogram (Electrocardiogram is called for short ECG) (lower section lines) are in sequential
On be one to one, identify, with " * " symbol, position that each feature wave group occurs it will be seen that heart beat activity each time
Occur always trailing a heart impact.Therefore, it can be calculated heart rate by heart impact signal.
Take one piece of data to be analyzed, as it is shown on figure 3, Fig. 3 be shown as the original waveform of the present invention, BCG, respiratory wave time
Ordered pair answers schematic diagram.From top to down, be respectively mixed the original waveform of various information, after 2-35Hz bandpass filtering gained
BCG waveform, and the respiratory wave through 0.5Hz low-pass filtering, it can be seen that the information that piezoelectric transducer collects is treated
After can extract heart rate and breathing.
Then step 5 is implemented: combine the sound sleep phase in described breath signal verification step three；If breath signal after midnight is steady
Then it is defined as the sound sleep phase.
Generally speaking, the sleep detection method of the present invention is to be that a window moves with 10 minutes, advances 5 minutes every time,
It is distributed by the variance of wave-shape amplitude and is used as weighing the standard that body is dynamic.When the mean square deviation/minima of wave-shape amplitude and mean square deviation/flat
Average declines simultaneously, it is likely that be sleep cycle state switching, if falling to 3 and less than 0.2 respectively, then can estimate into
The Deep phase, but if there being big little trick during this, then it is down to the Light phase, if preceding state is the Wake phase, also drop
To the Light phase；Otherwise, when mean square deviation/minima and the mean square deviation/meansigma methods of wave-shape amplitude rise to 25 and more than 2 simultaneously,
Then can estimate as the Wake phase；By that analogy.If additionally, there is big little trick to occur, and the persistent period was more than 5 seconds, was judged to
The Wake phase.
Adjusting after anticipation, the Wake phase will not be directly switch to the Deep phase again, and necessarily there is individual Light phase transition centre.So
After in conjunction with heart rate and breathe judge, heart rate general trend slows down the whole night, and the sleep period duration of the first half of the night is longer, after
Midnight is shorter.The heart rate variability of different REM phases increases along with the increase of the length of one's sleep.REM phase rapid breathing and non-
The most unstable, the Deep phase breathes the most steady.
The experimental result of the present embodiment: design a test environment, tester while having worn ZOE sleep monitor,
Lie in cabinet base and installed on the bed of detection equipment, synchronism detection.As shown in Figure 4, Fig. 4 is shown as the present invention's to the data of gained
Experimental data and the comparing result of ZOE sleep monitor data.Top is the data that ZOE sleep monitor is given, 23:00-6:00
Every a bit of dormant judgement in time period, lower section is the native system judged result in the same period.Data compare discovery,
Accuracy more than 95%.
The present invention also provides for a kind of sleep detection system based on body shake signal, as it is shown in figure 5, Fig. 5 is shown as the base of the present invention
Structure composition schematic diagram in the sleep detection system of body shake signal.Described detecting system at least includes: sensor 01 is with described
The first amplifier 02 that sensor connects；The wave filter 03 being connected with described first amplifier；Two be connected with described wave filter
Second amplifier 04；The analog signal adapter 05 being connected with said two the second amplifier；With described analog signal adapter
The signaling interface 06 connected；Described signaling interface connects server 07；. described first amplifier is connected to described signaling interface；
One of them second amplifier described is connected to described signaling interface.Described server, for analyzing the signal received, analyzes knot
Fruit is output in information terminal apparatus 08.In the present embodiment preferably, described sensor is piezoceramic transducer.Further preferably
Ground, described information terminal apparatus includes: smart mobile phone, PC or PAD, and described wave filter is finite impulse response filter.
Fig. 6 is shown as the scheme of installation of the sleep detection system based on body shake signal of the present invention.Detection equipment is pressed under cabinet base,
During test, user sleeps at bed according to being accustomed at ordinary times.Its principle is: when heart outside pump blood, health can produce and promote
The power opposite effect power of blood flowing, this active force causes the physical shocks with heartbeat synchronization, produces body shake signal, and body shakes
The rule of signal is relevant to heart rate.Human body breathes the expansion along with thoracic cavity and contraction each time simultaneously, and this change also can cause
Slowly varying body shake signal, these signals are given solid by human body transmission, then are collected by piezoelectric transducer by solid.
Although faint, the sensitivity of piezoelectric transducer be enough to measure, and transmits through a series of signal, is divided by algorithm processing module
Separate out heart beating, breathing and people body in bed to move.
In sum, sleep detection method and the detecting system of shaking signal based on body of the present invention.Body shake signal is through piezoelectric sensing
Device is converted to the signal of telecommunication, by signal processing circuits such as amplification modules, extracts and breathes heart rate, utilize a kind of based on movement range,
Sleep quality is estimated by heart rate, breathing and the sleep detection algorithm set up.Test result shows have higher accuracy,
The method on orthobiosis of user without impact, significant to touchless sleep detection.So, the present invention has
Effect overcomes various shortcoming of the prior art and has high industrial utilization.
The principle of above-described embodiment only illustrative present invention and effect thereof, not for limiting the present invention.Any it is familiar with this skill
Above-described embodiment all can be modified under the spirit and the scope of the present invention or change by the personage of art.Therefore, such as
All that in art, tool usually intellectual is completed under without departing from disclosed spirit and technological thought etc.
Effect is modified or changes, and must be contained by the claim of the present invention.
Claims (9)
1. a sleep detection method based on body shake signal, this body shake signal at least includes: body movement signal, heart impact signal and exhale
Inhale signal, it is characterised in that described detection method at least includes:
(1) sleep state is divided into awakening phase, rapid eye movement phase and nonrapid eye movements (NREM) phase；The nonrapid eye movements (NREM) phase includes shallow
Sleep phase and sound sleep phase；
(2) body movement signal is collected；Variance according to described body movement signal wave-shape amplitude judges sleep state；If waveform width
Degree mean square deviation/wave-shape amplitude minima and wave-shape amplitude mean square deviation/both wave-shape amplitude meansigma methodss present rising trend the most respectively
And it being increased to 25 and more than 2 respectively, sleep state is the awakening phase；It it is otherwise the non-awakening phase；
(3) if non-awakening phase, and described wave-shape amplitude mean square deviation/wave-shape amplitude minima and wave-shape amplitude mean square deviation/ripple
When both shape amplitude average value present downward trend the most respectively, it is defined as the awakening phase to the shallow state switching sleeping the phase；When described
Wave-shape amplitude mean square deviation/wave-shape amplitude minima and wave-shape amplitude mean square deviation/both wave-shape amplitude meansigma methodss drop to 3 Hes respectively
Less than 0.2, determine that sleep state is the sound sleep phase；
(4) combine described heart impact signal and breath signal judges described sleep state；If the heart impact signal of the first half of the night
Variability increases with the increase of the length of one's sleep, and breath signal is unstable, is defined as the rapid eye movement phase；
(5) the sound sleep phase in described breath signal verification step (3) is combined；If breath signal after midnight is steady, true
It is set to the sound sleep phase.
Sleep detection method based on body shake signal the most according to claim 1, it is characterised in that: described body movement signal includes:
Extremity move and overturn with health.
The most according to claim 2 based on body shake signal sleep detection method, it is characterised in that: in described step (2) with
Within 10 minutes, it is a window, within 5 minutes, collects described body movement signal to advance every time.
Sleep detection method based on body shake signal the most according to claim 3, it is characterised in that: in described step (2) really
Determine the method that sleep state is the awakening phase also to include: be attended by the persistent period big little trick more than 5 seconds.
Sleep detection method based on body shake signal the most according to claim 1, it is characterised in that: in described step (3),
When described wave-shape amplitude mean square deviation/wave-shape amplitude minima and wave-shape amplitude mean square deviation/both wave-shape amplitude meansigma methodss decline respectively
To 3 and less than 0.2, if being attended by big little trick, it is determined that sleep state is shallow to sleep the phase.
6. a sleep detection system based on body shake signal, it is characterised in that described detecting system at least includes:
The first amplifier that sensor is connected with described sensor；The wave filter being connected with described first amplifier；With
Two the second amplifiers that described wave filter connects；The analog signal adapter being connected with said two the second amplifier；
The signaling interface being connected with described analog signal adapter；Described signaling interface connects server；.
Described first amplifier is connected to described signaling interface；One of them second amplifier described is connected to described signal
Interface.
Described server is for analyzing the signal received, and analysis result is output in information terminal apparatus.
Sleep detection method based on body shake signal the most according to claim 6, it is characterised in that: described sensor is piezoelectricity pottery
Porcelain sensor.
Sleep detection method based on body shake signal the most according to claim 6, it is characterised in that: described information terminal apparatus bag
Include: smart mobile phone, PC or PAD.
Sleep detection method based on body shake signal the most according to claim 6, it is characterised in that: described wave filter is limited arteries and veins
Rush response filter.
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