CN107468212A - Sleep apnea event method of discrimination - Google Patents
Sleep apnea event method of discrimination Download PDFInfo
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- CN107468212A CN107468212A CN201710697268.9A CN201710697268A CN107468212A CN 107468212 A CN107468212 A CN 107468212A CN 201710697268 A CN201710697268 A CN 201710697268A CN 107468212 A CN107468212 A CN 107468212A
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- A61B5/48—Other medical applications
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- A61B5/4818—Sleep apnoea
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- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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Abstract
The present invention discloses a kind of sleep apnea event method of discrimination, and it includes step：The ballistocardiography signal of contactless collection human body and the breath signal of thorax abdomen；Phase signal and enter row interpolation resampling to it between being extracted from ballistocardiography signal；The crosspower spectrum of phase signal and breath signal, coherence coefficient and coupling spectrum between calculating；Obtain high frequency curve, low frequency curve and the proportional curve of coupling spectrum；The classification of sleep apnea event is judged according to a wave character for phase signal, low frequency curve values and proportional curve value, with the presence or absence of the thorax abdomen motion for continuing or strengthening and incident duration.The present invention is based on the processing of the multi signal of ballistocardiography signal and breath signal, and based on a wave character for phase signal, low frequency curve values and proportional curve value, with the presence or absence of continue or enhancing thorax abdomen motion and incident duration multi-parameter Identification, realize the accurate judgement of sleep apnea event classification.
Description
Technical field
The present invention relates to apnea discrimination technology field, it is more particularly related to a kind of sleep apnea
Event method of discrimination.
Background technology
Sleep breath monitoring is the important component in sleep monitor, and sleep breath monitoring includes 3 major parts：Survey
Determine/detect respiratory air flow, respiratory effort and arterial oxygen saturation.This three is continued to monitor can interpretation obtain respiration case,
Specially：Apnea, low pass gas event, respiratory effort correlation sexual arousal event.Wherein apnea refers to sleep
Mouth and nose air-flow stops more than 10s completely in journey, can be divided into obstructive type (continuing respiratory effort), maincenter type (apnea effort) or mixed
Mould assembly (being obstruction composition after maincenter composition).
Clinically, sleep state is monitored frequently with Polysomnography, and combines artificial progress interpretation.To keep away
Exempt from equipment and environment to impact examinee's physical and mental statuse, should try one's best when carrying out apnea monitoring to reduce connects with patient
Touch, with wearable or preferably carry out in a non-contact manner.
In the prior art, wearable or contactless breathing detection method and device be present, pass through single-sensor or more
Sensor gathers at least one parameter related to breathing, to judge whether breathing suspends.Wearable detection mode simplifies note
Electrode and inductor are recorded, patient can carry out sleep monitor at home, but still have large effect to patient's physical and mental statuse.It is existing
Some non-contact detecting modes still suffer from deficiency, as antenna has directive property, and in sleep procedure, the dynamic feelings of body often occur
Condition, result can be caused necessarily to influence；Or only mono signal is monitored, apnea type can not be judged.
The content of the invention
For weak point present in above-mentioned technology, the present invention provides a kind of sleep apnea event method of discrimination,
Can accurate judgement apnea type.
It is achieved through the following technical solutions to realize according to object of the present invention and further advantage, the present invention：
The present invention provides a kind of sleep apnea event method of discrimination, and it comprises the following steps：
The ballistocardiography signal of contactless collection human body and the breath signal of thorax abdomen；
Phase signal between J ripples and J ripples is extracted from the ballistocardiography signal and enters row interpolation resampling to it, adjusts institute
Stating a phase signal sampling rate makes it consistent with the breath signal sample rate；
The crosspower spectrum of phase signal and the breath signal, coherence coefficient and coupling spectrum between described in calculating；Will coupling
Spectrum is divided into high frequency curve and low frequency curve, obtains the proportional curve of the ratio between the high frequency curve and the low frequency curve；
According to the wave character of phase signal between described, the low frequency curve values, the proportional curve value, with the presence or absence of continuing
Or the thorax abdomen motion of enhancing and incident duration, to judge the classification of sleep apnea event.
Preferably, in the step of judging sleep apnea event classification, comprise the following steps：
If in the presence of the first event：The wave character for rising, maintaining and declining, at least 90% thing is presented in described phase signal
In the part duration, low frequency curve values>0.05 and proportional curve value>30；Moved in the presence of the thorax abdomen for continuing or strengthening；
And first incident duration >=10s；
Then, the sleep apnea event is obstructive type apnea.
Preferably, the wave character for rising, maintaining and declining, including：
The average of maintenance stage is more than or equal to the half of previous crest numerical value；The relative root-mean-square error of maintenance stage
≤ 10%.
Preferably, in the step of judging sleep apnea event classification, comprise the following steps：
If second event be present：At least in 90% incident duration, low frequency curve values>0.3；The breath signal is without week
Phase property changes, and lacks thorax abdomen motion；
And the second event duration >=10s；
Then, the sleep apnea event is maincenter type apnea.
Preferably, in the step of judging sleep apnea event classification, comprise the following steps：
If in the presence of the 3rd event：The maincenter type apnea and the obstructive type apnea thing successively be present
The feature of part,
And the three incident durations >=10s；
Then, the sleep apnea event is mixed type apnea.
Preferably, it is S to define the crosspower spectrumxy, the coherence coefficient be CxyAnd the coupling spectrum is CSxy,
Coupling spectrum square being multiplied with the coherence equal to the crosspower spectrum, i.e.,：
CSxy(ω)=Cxy(ω)*[Sxy(ω)]2；Wherein, CSxyNumber range be [- 1,1].
Preferably, the frequency range of the high frequency curve is (0.1-1.0Hz), and the frequency range of the low frequency curve is
(0.01-0.1Hz)。
Preferably, the contactless collection is gathered by acceleration transducer.
Preferably, after ballistocardiography signal described in non-contact capture and the breath signal, in addition to step：
The ballistocardiography signal and the breath signal are carried out successively to include amplification, denoising, synchronous acquisition and modulus
Conversion, remove baseline and strengthen the pretreatment of signal to noise ratio.
The present invention comprises at least following beneficial effect：
1) sleep apnea event method of discrimination provided by the invention, ballistocardiography is gathered using cordless respectively
After two signals of signal breath signal, phase signal between extracting from ballistocardiography signal is carried out with breath signal to couple spectrum
Calculate, then successively between the wave character of phase signal, the low frequency curve values of proportional curve and proportional curve value, with the presence or absence of holding
Continuous or enhancing thorax abdomen motion and incident duration, realize the judgement of sleep apnea event classification；At multi signal
The differentiation of reason and multi-parameter, improve the accuracy of differentiation；
2) the contactless collection of ballistocardiography signal breath signal is placed in bed or collected by acceleration transducer
It is acquired, is not facilitated with direct body contact, collection into inside bed body/mattress；
3) after non-contact capture ballistocardiography signal and breath signal, in addition to ballistocardiography signal and breath signal according to
It is secondary include amplification, denoising, synchronous acquisition and analog-to-digital conversion, remove baseline and strengthen the pre-treatment step of signal to noise ratio, use
In the high signal of output prograin.
Further advantage, target and the feature of the present invention embodies part by following explanation, and part will also be by this
The research and practice of invention and be understood by the person skilled in the art.
Brief description of the drawings
Fig. 1 is the schematic diagram of sleep apnea event method of discrimination of the present invention；
Fig. 2 is ballistocardiography signal of the present invention and its pretreated signal contrast schematic diagram；
Fig. 3 is the corresponding signal characteristic of obstructive type apnea of the present invention；
Fig. 4 is the corresponding signal characteristic of maincenter type apnea of the present invention.
Embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings, to make those skilled in the art with reference to specification text
Word can be implemented according to this.
It should be appreciated that such as " having ", "comprising" and " comprising " term used herein do not allot one or more
The presence or addition of individual other elements or its combination.
As shown in Figures 1 to 4, the present invention provides a kind of sleep apnea event method of discrimination, and it comprises the following steps：
S10, the ballistocardiography signal of contactless collection human body and the breath signal of thorax abdomen；
S20, phase signal between J ripples and J ripples is extracted from ballistocardiography signal and enters row interpolation resampling to it, between adjustment
Phase signal sampling rate is consistent with breath signal sample rate；
S30, the crosspower spectrum of phase signal and breath signal, coherence coefficient and coupling spectrum between calculating；By coupling spectrum point
For high frequency curve and low frequency curve, the proportional curve of the ratio between high frequency curve and low frequency curve is obtained；
S40, according to a wave character for phase signal, the low frequency curve values of proportional curve and proportional curve value, it whether there is
Continue or the thorax abdomen of enhancing moves and incident duration, to judge the classification of sleep apnea event.
In above-mentioned steps S10, contactless collection is gathered by acceleration transducer.Acceleration transducer is placed on bed
Above or progress signal acquisition inside bed body/mattress is integrated in, is not facilitated with direct body contact, collection；Gatherer process is not slept
Human motion influences in dormancy, and acquisition precision is high.As a kind of preferred embodiment of the present invention, non-contact capture ballistocardiography letter
Number and breath signal after, include ballistocardiography signal and breath signal are carried out including successively amplification, denoising, synchronous acquisition and
Analog-to-digital conversion, remove baseline and strengthen the pre-treatment step of signal to noise ratio.After Fig. 2 gives ballistocardiography signal and its pretreatment
Signal contrast diagram meaning, it can be seen that, pre-treatment step, the signal high for output prograin.As in pre-treatment step
Amplification, denoising, synchronous acquisition and analog-to-digital conversion, remove baseline and strengthen the embodiment of signal to noise ratio, the present invention does not do and had
Body limits.
In above-mentioned steps S20, phase signal enters row interpolation resampling between being extracted from ballistocardiography signal, and between adjustment
Phase signal sampling rate is consistent with breath signal sample rate, is to provide identical sample rate basis for the calculating of subsequent coupling spectrum.Fig. 3 gives
The schematic diagram of phase signal between having gone out.
In above-mentioned steps S30, between definition phase signal be x (t), breath signal be y (t), then crosspower spectrum is Sxy, coherence
Coefficient is CxyAnd coupling spectrum is CSxy.Coupling spectrum square being multiplied with coherence equal to crosspower spectrum, i.e.,：CSxy(ω)=Cxy
(ω)*[Sxy(ω)]2；Wherein, CSxyNumber range be [- 1,1].
Coupling spectrum is divided into high frequency curve and low frequency curve, the ratio between high frequency curve and low frequency curve are proportional curve, then, fixed
Adopted high frequency curve is HF (t), low frequency curve is LF (t) and proportional curve is L/F (t), and proportional curve L/F (t) is equal to LF
(t)/HF(t).As a kind of embodiment of the present invention, high frequency curve HF (t) frequency range is (0.1-1.0Hz), and low frequency is bent
Line LF (t) frequency range is (0.01-0.1Hz).
In above-mentioned steps S40, as a kind of embodiment, sleep apnea event classification is judged, including it is following
Step：
If in the presence of the first event：The wave character for flying up, maintaining and declining suddenly is presented in described phase signal, extremely
In few 90% incident duration, low frequency curve values>0.05 and proportional curve value>30；In the presence of the thorax abdomen for continuing or strengthening
Motion；
And first incident duration >=10s；
Then, the sleep apnea event is obstructive type apnea, as shown in Figure 3.
In the embodiment, rising, the wave character for maintaining and declining, specifically include：
The average of maintenance stage is more than or equal to the half of previous crest numerical value；The relative root-mean-square error of maintenance stage
≤ 10%.
In above-mentioned steps S40, as another embodiment, sleep apnea event classification is judged, including with
Lower step：
If second event be present：Described phase signal is without the wave character for flying up, maintaining, declining suddenly；At least
In 90% incident duration, low frequency curve values>0.3；The breath signal aperiodicity change, lacks thorax abdomen motion；
And the second event duration >=10s；
Then, the sleep apnea event is maincenter type apnea, as shown in Figure 4.
In above-mentioned steps S40, as another embodiment, sleep apnea event classification is judged, including with
Lower step：
If in the presence of the 3rd event：The maincenter type apnea and the obstructive type apnea thing successively be present
The feature of part,
And the three incident durations >=10s；
Then, the sleep apnea event is mixed type apnea.
Sleep apnea event method of discrimination provided by the invention, gather ballistocardiography letter respectively using cordless
After number two signals of breath signal, with breath signal couple the meter of spectrum from ballistocardiography signal to phase signal between extracting
Calculate, then successively according between the wave character of phase signal, the low frequency curve values of proportional curve and proportional curve value, with the presence or absence of continue
Or the thorax abdomen motion of enhancing and incident duration, realize the judgement of sleep apnea event classification.Entirely judged
Journey is related to the multi signal processing of ballistocardiography signal and breath signal, and based on the wave character of phase signal, a proportional curve
Low frequency curve values and proportional curve value, with the presence or absence of continue or enhancing thorax abdomen motion and incident duration more ginsengs
Number differentiates, while realizing that sleep apnea event classification judges, has higher discriminant accuracy.
Although embodiment of the present invention is disclosed as above, it is not restricted in specification and embodiment listed
With.It can be applied to various suitable the field of the invention completely.Can be easily for those skilled in the art
Realize other modification.Therefore it is of the invention and unlimited under the universal limited without departing substantially from claim and equivalency range
In specific details and shown here as the legend with description.
Claims (9)
1. a kind of sleep apnea event method of discrimination, it is characterised in that it comprises the following steps：
The ballistocardiography signal of contactless collection human body and the breath signal of thorax abdomen；
Phase signal between J ripples and J ripples is extracted from the ballistocardiography signal and enters row interpolation resampling to it, between adjustment is described
Phase signal sampling rate makes it consistent with the breath signal sample rate；
The crosspower spectrum of phase signal and the breath signal, coherence coefficient and coupling spectrum between described in calculating；By coupling spectrum point
For high frequency curve and low frequency curve, the proportional curve of the ratio between the high frequency curve and the low frequency curve is obtained；
According to the wave character of phase signal between described, the low frequency curve values, the proportional curve value, with the presence or absence of continuing or increase
Strong thorax abdomen motion and incident duration, to judge the classification of sleep apnea event.
2. sleep apnea event method of discrimination as claimed in claim 1, it is characterised in that judge sleep apnea thing
In the step of part classification, comprise the following steps：
If in the presence of the first event：The wave character for rising, maintaining and declining is presented in described phase signal, and at least 90% event is held
In the continuous time, low frequency curve values>0.05 and proportional curve value>30；Moved in the presence of the thorax abdomen for continuing or strengthening；
And first incident duration >=10s；
Then, the sleep apnea event is obstructive type apnea.
3. sleep apnea event method of discrimination as claimed in claim 2, it is characterised in that rise, maintain and decline
Wave character, including：
The average of maintenance stage is more than or equal to the half of previous crest numerical value；The relative root-mean-square error of maintenance stage≤
10%.
4. sleep apnea event method of discrimination as claimed in claim 1 or 2, it is characterised in that judge that sleep-respiratory is temporary
In the step of stopping event category, comprise the following steps：
If second event be present：At least in 90% incident duration, low frequency curve values>0.3；The breath signal aperiodicity
Change, lack thorax abdomen motion；
And the second event duration >=10s；
Then, the sleep apnea event is maincenter type apnea.
5. sleep apnea event method of discrimination as claimed in claim 4, it is characterised in that judge sleep apnea thing
In the step of part classification, comprise the following steps：
If in the presence of the 3rd event：The maincenter type apnea and the obstructive type apnea successively be present
Feature,
And the three incident durations >=10s；
Then, the sleep apnea event is mixed type apnea.
6. sleep apnea event method of discrimination as claimed in claim 1, it is characterised in that defining the crosspower spectrum is
Sxy, the coherence coefficient be CxyAnd the coupling spectrum is CSxy, it is described coupling spectrum equal to the crosspower spectrum square with
The coherence is multiplied, i.e.,：
CSxy(ω)=Cxy(ω)*[Sxy(ω)]2；Wherein, CSxyNumber range be [- 1,1].
7. sleep apnea event method of discrimination as claimed in claim 1, it is characterised in that the frequency of the high frequency curve
Scope is (0.1-1.0Hz), and the frequency range of the low frequency curve is (0.01-0.1Hz).
8. sleep apnea event method of discrimination as claimed in claim 1, it is characterised in that the contactless collection is logical
Cross acceleration transducer collection.
9. the sleep apnea event method of discrimination as any one of claim 1-8, it is characterised in that non-contact to adopt
After collecting the ballistocardiography signal and the breath signal, in addition to step：
The ballistocardiography signal and the breath signal are carried out including successively amplification, denoising, synchronous acquisition and analog-to-digital conversion,
Remove baseline and strengthen the pretreatment of signal to noise ratio.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111227793A (en) * | 2020-01-10 | 2020-06-05 | 京东方科技集团股份有限公司 | Apnea recognition method and system, electronic equipment and storage medium |
| CN114098756A (en) * | 2021-11-08 | 2022-03-01 | 杭州菲诗奥医疗科技有限公司 | Cardiopulmonary coupling analysis method based on single-channel ECG signal |
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Application publication date: 20171215 |