CN106037759B - A kind of brain self-regulation index detection method towards sleep apnea - Google Patents
A kind of brain self-regulation index detection method towards sleep apnea Download PDFInfo
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Abstract
A kind of brain self-regulation index detection method towards sleep apnea, including five steps, Step 1: carrying out the pretreatments such as denoising, down-sampled to the tissue oxygenation and pulse blood oxygen that are collected using near infrared spectrum logger；Step 2: the mobile correlation coefficient r of computation organization's blood oxygen and pulse blood oxygen；Step 3: obtaining weighting mobile related coefficient wr to obtained mobile related coefficient sectionally weighting；Step 4: asking weighted average to obtain brain self-regulation index CARindex the mobile related coefficient of weighting；Step 5: being self-regulated Index Assessment sleep apnea syndrome to the influence of brain self-regulating function by brain；The present invention can effectively avoid the defects of complicated existing method data acquisition, operating difficulties.
Description
Technical field
The invention belongs to processing of biomedical signals technical fields, more particularly to near-infrared spectrum technique calculating is utilized to be based on
The brain of brain oximetry data is self-regulated index to evaluate a kind of method of sleep apnea danger.
Background technology
Patient respiratory with sleep apnea syndrome can cause low blood oxygen and high carbon acid when suspending recurrent exerbation, can
Lead to maladjusted nervous system, endocrine disturbance and hemodynamic change, causes the damage of whole body multiple organ, seriously threaten people
Health.Clinical research confirmation, it is closely related with a variety of fatal diseases, including cerebral apoplexy, hypertension, coronary artery disease
Disease etc..
Sleep analysis monitor (Polysomnography, PSG) is the gold mark of current diagnosis sleep apnea syndrome
It is accurate.By recording multinomial physiological parameter of the patient in sleep procedure, including electroencephalogram, electrocardiogram, electromyogram, mouth and nose tidal air
Stream, the sound of snoring, blood oxygen saturation, heart rate, position, chest and abdomen breathing etc., analyze these parameters using professional software, are slept
The final reports such as dormancy structure, disordered breathing, sleep monitor.But there are following defects for sleep analysis monitor：
1, monitoring process need to carry out in the laboratory of profession；
2, it checks and needs the multinomial physiology monitoring of synchronous progress long-time, patient that whole body is needed to stick big quantity sensor, this is to suffering from
The sleep quality of person has certain influence, larger so as to cause monitoring of environmental and true environment difference, influences the accurate of monitoring result
Property；
3, it checks expensive；
4, sleep analysis monitor only diagnoses the severity of sleep apnea syndrome, can not directly assess
The degree of injury of brain in patients self-regulating function.
In the case that the brain self-regulating function of people is undamaged, the generation of apnea can cause pulse blood oxygen to reduce, and be
Maintain the normal level of providing brain with oxygen, tissue oxygenation that can stablize in certain model under the negative feedback mechanism effect that brain is self-regulated
It encloses.But the recurrent exerbation of extended sleep apnea can make brain self-regulating function impaired, between pulse blood oxygen and tissue oxygenation
Negative feedback, which will gradually weaken, even to disappear, and power and the brain damage degree of negative feedback have substantial connection.
Assessing the method that sleep apnea syndrome influences brain self-regulating function at present is mainly:Using more through cranium
Pu Le (trancranial Doppler, TCD) technology passes through average cerebral blood flow velocity (the cerebral blood flow of calculating
Velocity, CBFV) with the mobile related coefficient of arterial pressure (arterial blood pressure, ABP), obtain one
Index of the brain from main regulation can be assessed.
But this method has the following defects：
1, transcranial Doppler needs doctor in other operating instrument, and to ensure the region that arteria cerebri media is irradiated by sound wave
Constant diameter, so the long-time data during this acquisition method cannot obtain sleep apnea syndrome patient sleeps.
2, arterial pressure measurement generally requires to use invasive mode, and invasive blood pressure is used for sleep-apnea patient
Measurement method is unpractical.
Invention content
In order to overcome the defect of above-mentioned existing method, the purpose of the present invention is to provide a kind of towards sleep apnea
Brain self-regulation index detection method is calculated using near-infrared spectrum technique from the brain near infrared light spectrum signal of acquisition
Tissue oxygenation and pulse blood oxygen signal, between period of sleep apnea, pulse blood oxygen has to be reduced to a certain degree, at this time brain from
Regulating power will directly be reflected in tissue oxygenation signal, and it is related to carry out mobile weighting to tissue oxygenation signal and pulse blood oxygen signal
The calculating of coefficient finally obtains brain self-regulation index, to assess sleep apnea syndrome to brain self-regulating function
It influences, can effectively avoid the defects of existing method data acquire complexity, operating difficulties using the method.
In order to achieve the above object, the technical solution adopted by the present invention is：
A kind of brain self-regulation index detection method towards sleep apnea, includes the following steps：
Step 1：The night tissue oxygenation and pulse blood oxygen number for the detection object that near infrared spectrum logger is acquired
According to progress denoising, down-sampled pretreatment, pretreated tissue oxygenation signal are expressed as length with pulse blood oxygen signal and are
The discrete-time series rso2 (n) and spo2 (n) of N；The data handled well are sent to processing unit later；
Step 2：The mobile related coefficient of processing unit computation organization blood oxygen and pulse blood oxygen
(1), movable length mLen, segment length sLen and the segments nesg for determining mobile segmentation, see formula (1)~
(3)：
SLen=3*mLen (2)
Wherein,
fs--- signal sampling rate；
f0--- required minimum frequency resolution ratio；
--- downward rounding operation；
(2), the corresponding mobile correlation coefficient r (i) of each signal subsection is calculated, sees formula (4)：
Wherein,
spo2i(n) and rso2i(n) --- the i-th segmentation of spo2 (n) and rso2 (n) indicates as follows：
spo2i(n)=spo2 (n), mLen* (i-1)+1≤n≤mLen* (i-1)+sLen (5)
rso2i(n)=rso2 (n), mLen* (i-1)+1≤n≤mLen* (i-1)+sLen (6)
L (... ...) --- sum of products of mean deviations (or sum of sguares of deviation from mean) operation, calculation formula are as follows：
Wherein,
The length of m --- x and y；
With--- the mean value of x and y；
(3), the corresponding weight w of each signal subsection is calculatedp(i) and wr(i), it is used for weight computing in step 4, sees formula
(8) with (9)：
Wherein,
With--- the i-th block signal mean value of spo2 (n) and rso2 (n) calculate as follows：
Step 3：It is r=[r (1), r (2) ..., r (nseg)] that step 2, which obtains mobile related coefficient, corresponding two groups
Weights are wp=[wp(1),wp(2),...,wpAnd w (nseg)]r=[wr(1),wr(2),...,wr(nseg)], using weights pair
Mobile correlation coefficient weighted calculates mobile weighted correlation coefficient wr：
(1), it to mobile related coefficient segmentation, determines segments nseg ', sees formula (12) and (13)：
SLen '=300*f0 (12)
Wherein,
SLen ' --- every section of segment length of segmentation；
(2), the mobile related coefficient wr (j) of every section of corresponding weighting is calculated, sees formula (14)：
Wherein,
W (j) --- jth is segmented corresponding related coefficient weights, and calculation formula is as follows：
Wherein,
Max (... ...) --- take higher value operation；
Step 4：Previous step obtains mobile weighted correlation coefficient wr, seeks it weighted average calculation brain self-regulation index
CARindex is shown in formula (16)：
If CARindex>1, then CARindex=1；If CARindex<- 1, then CARindex=-1；
Step 5：Processing unit sends out following signals prompt, CARindex ∈ [- 1,1] to display unit：Work as CARindex
When≤0, sends out brain self-regulating function and be without damage；Work as CARindex>When 0,1 is more leveled off to, it is comprehensive to send out sleep apnea
It is bigger to the harm of brain autonomous regulatory function to close disease；It more levels off to 0, sends out sleep apnea syndrome to brain from main regulation
Function harm is smaller.
It is an advantage of the invention that：By caused by sleep apnea detecting sphygmus and blood oxygen saturation decline, with by brain from
The variation of the tissue oxygenation saturation degree of adjusting connects, using it is noninvasive long when easy method obtain initial data, avoid
Conventional method can only acquire and complicated defect the short time.
Related coefficient is moved in weighting by calculating pulse blood oxygen and tissue oxygenation, obtains reflection sleep apnea to big
The brain self-regulation index of brain self-regulating function influence degree, to evaluate sleep apnea using brain self-regulation index
It is dangerous.
Description of the drawings
Fig. 1-a are the time domain waveforms of pulse blood oxygen and tissue oxygenation original signal.
Fig. 1-b are the part-time sectional drawings of pulse blood oxygen and tissue oxygenation original signal.
Fig. 2-a are by denoising and down-sampled pretreated time domain waveform.
Fig. 2-b are by denoising and down-sampled pretreated part-time sectional drawing.
Fig. 3-a are the mobile related coefficient figures of pulse blood oxygen and tissue oxygenation.
Fig. 3-b are the part-time sectional drawings of pulse blood oxygen and tissue oxygenation.
Fig. 4 is the mobile weighted correlation coefficient figure of pulse blood oxygen and tissue oxygenation.
Fig. 5 is the flow chart of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings and example is described in detail the present invention.
Sleep apnea syndrome patient is suffered from as data sample using one, acquires night near infrared light spectrum signal, number
According to 8 points of duration 8 hours 56 seconds (from 19:53:00—04:01:56), sample rate 10Hz, 293360 points of data length.According to close
Infrared spectroscopy signals calculate pulse blood oxygen and tissue oxygenation data.Original signal time domain waveform and part sectional drawing such as Fig. 1-a with
Shown in Fig. 1-b.In order to assess influence of the sleep apnea syndrome of the patient to the autonomous regulatory function of its brain, using this
Data are analyzed in invention.
A kind of brain self-regulation index detection method towards sleep apnea, reference Fig. 5 include the following steps：
Step 1：The signal own situation acquired according near infrared spectrum logger carries out it denoising and down-sampled
Deng pretreatment, after pretreatment, signal sampling rate is 0.2Hz, and data length is 5268 points.Time domain plethysmographic signal figure after pretreatment
And the data handled well are sent to processing unit by part sectional drawing later as shown in Fig. 2-a and Fig. 2-b；
Step 2：The mobile correlation coefficient r of processing unit computation organization blood oxygen and pulse blood oxygen
Required minimum frequency resolution ratio f0=0.1Hz is obtained according to formula (1)~(3), the movable length of mobile segmentation
MLen=2, segment length sLen=6 and segments nesg=2632；The corresponding movement of each signal subsection is calculated according to formula (4)
Correlation coefficient r (i).Finally, mobile correlation coefficient r is obtained, as shown in Figure 3.
Step 3：Calculate mobile weighted correlation coefficient wr.
Mobile related coefficient is segmented with (13) according to formula (12), segment length sLen '=30, segments nseg '=
85；Corresponding weight value is calculated according to formula (15), mobile weighted correlation coefficient wr is finally obtained according to formula (14), as shown in Figure 4.
Step 4：Related coefficient wr mobile to weighting asks weighted average to obtain brain self-regulation index CARindex.
The brain self-regulation index CARindex=0.7773 of the patient can be calculated according to formula (16).
Step 5：Processing unit sends out following signals prompt, CARindex ∈ [- 1,1] to display unit：Work as CARindex
When≤0, sends out brain self-regulating function and be without damage；Work as CARindex>When 0,1 is more leveled off to, it is comprehensive to send out sleep apnea
It is bigger to the harm of brain autonomous regulatory function to close disease；It more levels off to 0, sends out sleep apnea syndrome to brain from main regulation
Function harm is smaller.The sample data brain self-regulation index of the patient is 0.7773, shows sleep apnea syndrome pair
The damage of its brain self-regulating function is very big.
Claims (1)
- The index detection method 1. a kind of brain towards sleep apnea is self-regulated, which is characterized in that include the following steps：Step 1：The night tissue oxygenation and pulse blood oxygen data for the detection object that near infrared spectrum logger is acquired, into Row denoising, down-sampled pretreatment, pretreated tissue oxygenation signal and pulse blood oxygen signal be expressed as length be N from Dissipate time series rso2 (n) and spo2 (n)；The data handled well are sent to processing unit later；Step 2：The mobile related coefficient of processing unit computation organization blood oxygen and pulse blood oxygen(1), movable length mLen, segment length sLen and the segments nesg for determining mobile segmentation, are shown in formula (1)~(3)：SLen=3*mLen (2)Wherein,fs--- signal sampling rate；f0--- required minimum frequency resolution ratio；--- downward rounding operation；(2), the corresponding mobile correlation coefficient r (i) of each signal subsection is calculated, sees formula (4)：Wherein,spo2i(n) and rso2i(n) --- the i-th segmentation of spo2 (n) and rso2 (n) indicates as follows：spo2i(n)=spo2 (n), mLen* (i-1)+1≤n≤mLen* (i-1)+sLen (5)rso2i(n)=rso2 (n), mLen* (i-1)+1≤n≤mLen* (i-1)+sLen (6)L (... ...) --- sum of products of mean deviations operation, calculation formula are as follows：Wherein,The length of m --- x and y；With--- the mean value of x and y；(3), the corresponding weight w of each signal subsection is calculatedp(i) and wr(i), be used for step 4 in weight computing, see formula (8) with (9)：Wherein,With--- the i-th block signal mean value of spo2 (n) and rso2 (n) calculate as follows：Step 3：It is r=[r (1), r (2) ..., r (nseg)], corresponding two groups of weights that step 2, which obtains mobile related coefficient, For wp=[wp(1),wp(2),...,wpAnd w (nseg)]r=[wr(1),wr(2),...,wr(nseg)], using weights are to movement Correlation coefficient weighted calculates mobile weighted correlation coefficient wr (j)；(1), it to mobile related coefficient segmentation, determines segments nseg ', sees formula (12) and (13)：SLen '=300*f0 (12)Wherein,SLen ' --- every section of segment length of segmentation；(2), the mobile related coefficient wr (j) of every section of corresponding weighting is calculated, sees formula (14)：Wherein,W (j) --- jth is segmented corresponding related coefficient weights, and calculation formula is as follows：Wherein,Max (... ...) --- take higher value operation；Step 4：Previous step obtains mobile weighted correlation coefficient wr (j), seeks it weighted average calculation brain self-regulation index CARindex is shown in formula (16)：If CARindex > 1, CARindex=1；If CARindex < -1, CARindex=-1；Step 5：Processing unit sends out following signals prompt, CARindex ∈ [- 1,1] to display unit：When CARindex≤0 When, it sends out brain self-regulating function and is without damage；As CARindex > 0,1 is more leveled off to, send out sleep apnea synthesis Disease endangers the autonomous regulatory function of brain bigger；It more levels off to 0, sends out sleep apnea syndrome to brain from main regulation work( It can endanger smaller.
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