CN104523262A - Sleep quality detection method based on electrocardiosignals - Google Patents
Sleep quality detection method based on electrocardiosignals Download PDFInfo
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Abstract
The invention relates to a sleep quality detection method based on electrocardiosignals. As for detection of the sleep quality of a target object, the sleep quality detection method is characterized by including the following steps: (1) through detection of the electrocardiosignals and respiration signals of the target object, obtaining the heart beat interphase sequence and the respiration signal sequence; and (2) through the heart beat interphase sequence and the respiration signal sequence obtained in the step (1), calculating the deep sleep quality index of the target object. By means of the technical scheme, the sleep quality detection method based on the electrocardiosignals has the advantages that an adopted single lead electrocardiosignal detection instrument can achieve long-distance monitoring, the target object does not need to be limited to a hospital accordingly, the sleep index of the target object can be detected at any sleep site, and the applicability of the sleep quality detection method is further improved.
Description
Technical field
The present invention relates to a kind of for obtaining human body information, and process the method for above-mentioned information, especially a kind of sleep quality detection method based on electrocardiosignal.
Background technology
Sleep can make the heartfelt wishes of the mankind be loosened, rest and reorganize, and its various aspects for human body play vital effect, so the guarantee of the sleep quality normal learning life that is people.But along with the deterioration of environment and the increase of life stress, the sleep quality of people is more or less affected, therefore, the sleep quality of correct understanding oneself has vital effect for people's improving water flood to body and mind benefit.
The evaluation of current sleep quality is mainly detected by Polysomnography, but this method also exists inconvenience; First, the patient experiences of Polysomnography is poor, because Polysomnography needs the signal of detection more, especially the signal of monitoring a large amount of head and Maxillary region is needed, need to stick some electrodes to patient, cause around patients head has a large amount of wire to exist simultaneously, comparatively uncomfortable when making patient falls asleep, and Polysomnography needs to carry out in hospital, many patients can along with the change of the change generation sleep behavior of sleep environment, and testing result and at ordinary times sleep behavior there are differences; Secondly, after Polysomnography inspection, need doctor to carry out analyzing and diagnosing frame by frame in conjunction with each lead signals, workload greatly and very inconvenience; In addition Polysomnography hypnogram is complicated and expensive, and it is difficult to be promoted the use; So the sleep quality checkout equipment that development easily measures has potential important meaning.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of sleep quality detection method based on electrocardiosignal, and it can carry out the sleep relevant information in destination object sleep procedure convenient and detect efficiently.
For solving the problems of the technologies described above, the present invention relates to a kind of sleep quality detection method based on electrocardiosignal, its detection carrying out sleep quality for destination object comprises the steps:
1) by the electrocardiosignal of destination object and the detection of breath signal, the IBI sequence of destination object is obtained, and breath signal sequence;
2) by step 1) in IBI sequence and the breath signal sequence of destination object that obtain, deep sleep's quality index of calculating destination object.
As a modification of the present invention, described step 2) in, deep sleep's index of destination object comprises the deep sleep time span of destination object in sleep procedure, and the degree of fragmentation of deep sleep.
As a modification of the present invention, described step 1) with step 2) in, the electrocardiosignal of destination object and breath signal are detected, and the sleep quality calculating destination object refers to calibration method is:
3.1) by the normal heartbeat interval sequential of ECG signal sampling instrument measurement target object, and its breath signal sequential, and inputted service host;
3.2) by step 3.1) in measure the normal heartbeat interval sequential of destination object and its breath signal sequential of gained, calculate its crosspower spectrum between the two and degree of coherence respectively;
3.3) by step 3.2) in crosspower spectrum between the normal heartbeat interval sequential of destination object that obtains and its breath signal, and degree of coherence, obtains the cardiopulmonary index of coupling of destination object;
3.4) by step 3.3) in the acquisition methods of the cardiopulmonary index of coupling of destination object, in multiple sample, the cardiopulmonary index of coupling of multiple data points of destination object is calculated;
3.5) by step 3.4) in the calculating of the cardiopulmonary index of coupling of multiple data points on target opposite, obtain its low frequency coupling value and high-frequency coupling value respectively, and obtain the sleep quality index of destination object respectively according to low frequency coupling value and high-frequency coupling value.
As a modification of the present invention, described step 3.1) in, the concrete grammar of the normal heartbeat interval sequential of measurement target object is:
4.1) by the electrocardiosignal of ECG signal sampling instrument measurement target object;
4.2) by step 4.1) in the electrocardiosignal that obtains carry out the detection of QRS wave group, obtain R-Wave of ECG Signal peak value and the moment occur, and obtain the R-R interval in electrocardiosignal by the generation moment of multiple R crest value in electrocardiosignal;
4.3) by getting rid of step 4.2) in improper heartbeat interval in R-R interval, obtain the normal heartbeat interval sequential in electrocardiosignal.
As a modification of the present invention, described step 4.3) in, get rid of step 4.2) in the method for improper heartbeat in R-R interval be: when any heartbeat, and the heartbeat before this heartbeat is when being all judged as normal heartbeat, the heartbeat interval formed between above-mentioned two heartbeats is normal heartbeat interval.
Adopt above-mentioned method of work, it can effectively be avoided in the heartbeat testing process of targeted customer, the non-natural phenomenon accidental because of premature beat, arrhythmia etc. and cause its heart beat interval unstable, thus avoid it to impact the cardiopulmonary index of coupling of succeeding target object, and then make the sleep quality detection method based on electrocardiosignal in the present invention can reflect the sleep quality of destination object more accurately.
As a modification of the present invention, described step 4.1) in, the measuring method of breath signal sequential is: by by the measuring process of electrocardiosignal, the detecting electrode of ECG signal sampling instrument relative to target cardiac position with the respirometric real-time change of destination object, and destination object thoracic cavity internal resistance resists the real-time change of carrying out with breathing to be fitted to each other, thus obtain the breath signal sequential of destination object.
Adopt above-mentioned method of work, its according to destination object in respiratory movement, the electrocardiosignal motor on surface, thoracic cavity is relative to the change in location of heart, and thoracic cavity internal resistance resists and causes pulmonary to fill and the change that occurs coordinates the breath signal obtaining destination object along with breathing, thus its electrocardiosignal avoiding partial target object to cause because of reasons such as heart failure effectively cannot reflect its respirometric phenomenon.
As a modification of the present invention, described step 4.2) in, its calculation procedure 4.1) the middle normal heartbeat interval sequential measuring the destination object of gained, and the method for crosspower spectrum between breath signal sequential and degree of coherence is: sample again to the normal heartbeat interval sequential of destination object and its breath signal sequential, and pass through the normal heartbeat interval sequential after resampling, and breath signal sequential carries out the calculating that Fourier's change realizes its mutual crosspower spectrum and degree of coherence; Described step 4.3) in, the cardiopulmonary index of coupling of destination object is step 2) the middle product calculated between the crosspower spectrum of gained and degree of coherence.Adopt above-mentioned method of work, it makes the normal heartbeat interval sequential of destination object and breath signal time series data make it relatively linear by resampling, thus is convenient to subsequent treatment.
As a modification of the present invention, described step 3.4) in, to the method that the cardiopulmonary index of coupling in multiple sample calculates be:
7.1) sample ading up to A is divided into multiple subsamples group, the sample size in the group of multiple subsamples is all equal, and the sample in adjacent two subsample groups overlaps each other; Multiple data points of destination object are divided equally in the group of multiple subsamples, and in the group of each subsample, respectively the normal heartbeat interval sequential of multiple data points of destination object and its breath signal sequential are carried out to the calculating of its mutual crosspower spectrum and degree of coherence, and carry out the calculating of the cardiopulmonary index of coupling of multiple data point according to its result of calculation;
7.2) to anyon sample group, with in this subsample group sample size repeat above-mentioned steps 7.2) operation, until the cardiopulmonary index of coupling of multiple data points of destination object all completes calculating.
Adopt above-mentioned method of work, sample can be divided into multiple subsample group overlapped each other by it, and multiple data points of destination object is dispersed in the group of multiple subsamples and synchronously processes; Due to overlapping each other of multiple subsamples group, calculate so make its efficiency in computational process be better than tapping into row by sample integrated straight, thus effectively can improve the treatment effeciency of data.
As a modification of the present invention, described step 7.1) in, before multiple data points of destination object carry out the calculating of the cardiopulmonary index of coupling in sample, the accurate cosine function of label taking, carries out lamination process by itself and time series data.Adopt above-mentioned method of work, its superimposed data of multiple data points of destination object that make by cosine function are gone trending and sampling, thus make related data be convenient to process in sample.
As a modification of the present invention, described step 3.4) in, to sample this quantity identical with the sum of the data point that destination object comprises, to sample in include at least 1024 samples; Described step 3.5) in, the scope of low frequency is 0 to 0.01Hz, and the scope of high frequency is 0.1 to 0.4Hz.Adopt above-mentioned method of work, it is consistent by the quantity of sample and the sum of the data point that destination object comprises, is convenient to distribute when the data of destination object are processed in sample, thus makes its treatment effeciency reach best.
As a modification of the present invention, described step 3.5) in, the concrete grammar obtaining the sleep quality index of destination object according to low frequency coupling value and high-frequency coupling value is respectively, by by the real-time cardiopulmonary index of coupling of destination object and low frequency coupling value, and high-frequency coupling value compares, lower than low frequency coupling value then for the shallow phase of sleeping, be then the phase of sleeping soundly higher than high-frequency coupling value, be lucid interval between low frequency coupling value and high-frequency coupling value.
The above-mentioned sleep quality detection method based on electrocardiosignal, it is by detecting the electrocardiosignal of targeted customer, thus obtain normal heart beat interval sequential and the respiration information sequential of targeted customer, and by carrying out its mutual crosspower spectrum and the calculating thinking mass dryness fraction both above-mentioned, and the cardiopulmonary index of coupling of targeted customer is derived by its result of calculation, and then make the cardiopulmonary index of coupling, and then effectively examination and analysb is carried out to the sleep quality of user; The sleep quality checkout equipment based on electrocardiosignal adopted required for the above-mentioned sleep quality detection method based on electrocardiosignal includes, ECG signal sampling instrument, and with the main control system of its electric connection.
Adopt the sleep quality detection method based on electrocardiosignal of technique scheme, what it adopted singly lead, and ECG signal sampling instrument can realize remote monitoring, thus make destination object without the need to being limited to hospital, all can detect the sleep index of destination object in place of sleeping arbitrarily, and then improve the suitability of above-mentioned sleep detection method; Simultaneously, above-mentioned sleep quality detection method is by the combination by normal heart beat interval sequential and respiration information sequential, make in clinical course, the typical noise that respiration information has is eliminated under the impact of normal heart beat interval signal, thus make the relevant information that can effectively obtain both it between synchronous heart rate and pneodynamics, and then realize the accurate detection to destination object sleep index; In addition, it effectively can reduce the too much Testing index for patient, effectively prevent the inconvenience that testing process may cause for patient.
Accompanying drawing explanation
Fig. 1 is sleep quality testing flow chart in the present invention.
Detailed description of the invention
Below in conjunction with detailed description of the invention, illustrate the present invention further, following detailed description of the invention should be understood and be only not used in for illustration of the present invention and limit the scope of the invention.
Based on a sleep quality detection method for electrocardiosignal, it is by singly lead ECG signal sampling instrument and the sleep quality of main control system detected target object, and wherein, detection destination object being carried out to sleep quality comprises the steps:
1) by the electrocardiosignal of destination object and the detection of breath signal, the IBI sequence of destination object is obtained, and breath signal sequence;
2) by step 1) in IBI sequence and the breath signal sequence of destination object that obtain, deep sleep's quality index of calculating destination object.
As a modification of the present invention, described step 2) in, deep sleep's index of destination object comprises the deep sleep time span of destination object in sleep procedure, and the degree of fragmentation of deep sleep.
As a modification of the present invention, described step 1) and step 2) in, the electrocardio of destination object is believed
Number to detect with breath signal, and the sleep quality calculating destination object refers to calibration method is:
3.1) by the normal heartbeat interval sequential of ECG signal sampling instrument measurement target object, and its breath signal sequential, and inputted service host;
3.2) by step 3.1) in measure the normal heartbeat interval sequential of destination object and its breath signal sequential of gained, calculate its crosspower spectrum between the two and degree of coherence respectively;
3.3) by step 3.2) in crosspower spectrum between the normal heartbeat interval sequential of destination object that obtains and its breath signal, and degree of coherence, obtains the cardiopulmonary index of coupling of destination object;
3.4) by step 3.3) in the acquisition methods of the cardiopulmonary index of coupling of destination object, in multiple sample, the cardiopulmonary index of coupling of multiple data points of destination object is calculated;
3.5) by step 3.4) in the calculating of the cardiopulmonary index of coupling of multiple data points on target opposite, obtain its low frequency coupling value and high-frequency coupling value respectively, and obtain the sleep quality index of destination object respectively according to low frequency coupling value and high-frequency coupling value.
As a modification of the present invention, described step 3.1) in, the concrete grammar of the normal heartbeat interval sequential of measurement target object is:
4.1) by the electrocardiosignal of ECG signal sampling instrument measurement target object;
4.2) by step 4.1) in the electrocardiosignal that obtains carry out the detection of QRS wave group, obtain R-Wave of ECG Signal peak value and the moment occur, and obtain the R-R interval in electrocardiosignal by the generation moment of multiple R crest value in electrocardiosignal;
4.3) by getting rid of step 4.2) in improper heartbeat interval in R-R interval, obtain the normal heartbeat interval sequential in electrocardiosignal.
As a modification of the present invention, described step 4.3) in, get rid of step 4.2) in the method for improper heartbeat in R-R interval be: when any heartbeat, and the heartbeat before this heartbeat is when being all judged as normal heartbeat, the heartbeat interval formed between above-mentioned two heartbeats is normal heartbeat interval.
Adopt above-mentioned method of work, it can effectively be avoided in the heartbeat testing process of targeted customer, the non-natural phenomenon accidental because of premature beat, arrhythmia etc. and cause its heart beat interval unstable, thus avoid it to impact the cardiopulmonary index of coupling of succeeding target object, and then make the sleep quality detection method based on electrocardiosignal in the present invention can reflect the sleep quality of destination object more accurately.
As a modification of the present invention, described step 4.1) in, the measuring method of breath signal sequential is: by by the measuring process of electrocardiosignal, the detecting electrode of ECG signal sampling instrument relative to target cardiac position with the respirometric real-time change of destination object, and destination object thoracic cavity internal resistance resists the real-time change of carrying out with breathing to be fitted to each other, thus obtain the breath signal sequential of destination object.
Adopt above-mentioned method of work, its according to destination object in respiratory movement, the electrocardiosignal motor on surface, thoracic cavity is relative to the change in location of heart, and thoracic cavity internal resistance resists and causes pulmonary to fill and the change that occurs coordinates the breath signal obtaining destination object along with breathing, thus its electrocardiosignal avoiding partial target object to cause because of reasons such as heart failure effectively cannot reflect its respirometric phenomenon.
As a modification of the present invention, described step 4.2) in, its calculation procedure 4.1) the middle normal heartbeat interval sequential measuring the destination object of gained, and the method for crosspower spectrum between breath signal sequential and degree of coherence is: sample again to the normal heartbeat interval sequential of destination object and its breath signal sequential, and pass through the normal heartbeat interval sequential after resampling, and breath signal sequential carries out the calculating that Fourier's change realizes its mutual crosspower spectrum and degree of coherence; Described step 4.3) in, the cardiopulmonary index of coupling of destination object is step 2) the middle product calculated between the crosspower spectrum of gained and degree of coherence.Adopt above-mentioned method of work, it makes the normal heartbeat interval sequential of destination object and breath signal time series data make it relatively linear by resampling, thus is convenient to subsequent treatment.
Above by the concrete grammar normal heartbeat interval sequential after resampling and its breath signal sequential being carried out to Fourier and change the calculating realizing its mutual crosspower spectrum and degree of coherence be:
Assuming that discrete sampling is numbered k, then N-N interval signal and breath signal can be recorded as Rk and Ek, wherein R
k=R (t
k)=R (k Δ t), E
k=E (t
k)=E (k Δ t), 1/ Δ t is sample frequency.
N-N interval clock signal obtains after carrying out FFT change:
breath signal obtains after carrying out FFT change:
wherein A
nand B
nfor the amplitude of response, Φ
r,nand Φ
e,nfor the phase place of corresponding Fourier composition.
The crosspower spectrum of breath signal and N-N interval signal is:
Wherein * represents the conjugate of this plural number.
The Coherence of breath signal and R-R interval signal is defined as:
Wherein <> representative is averaged to the data point in a period of time on a specific frequency.
Calculate crosspower spectrum and relevant after, can determine that cardiopulmonary index of coupling CPC is:
CPC(f
n)＝＜Γ
n(R，E)＞
2Λ
n(2.5)
Wherein <> representative is averaged to the data point in a period of time on a specific frequency.
As a modification of the present invention, described step 3.4) in, to the method that the cardiopulmonary index of coupling in multiple sample calculates be:
7.1) sample ading up to 1024 is divided into 3 subsample groups, three groups of subsample groups are respectively 1 to 512,256 to 768,768 to 1024; Multiple data points of destination object are divided equally in the group of multiple subsamples, and in the group of each subsample, respectively the normal heartbeat interval sequential of multiple data points of destination object and its breath signal sequential are carried out to the calculating of its mutual crosspower spectrum and degree of coherence, and carry out the calculating of the cardiopulmonary index of coupling of multiple data point according to its result of calculation;
7.2) to anyon sample group, with in this subsample group sample size repeat above-mentioned steps 7.2) operation, until the cardiopulmonary index of coupling of multiple data points of destination object all completes calculating.
Adopt above-mentioned method of work, sample can be divided into multiple subsample group overlapped each other by it, and multiple data points of destination object is dispersed in the group of multiple subsamples and synchronously processes; Due to overlapping each other of multiple subsamples group, calculate so make its efficiency in computational process be better than tapping into row by sample integrated straight, thus effectively can improve the treatment effeciency of data.
As a modification of the present invention, described step 7.1) in, before multiple data points of destination object carry out the calculating of the cardiopulmonary index of coupling in sample, the accurate cosine function of label taking, carries out lamination process by itself and time series data.Adopt above-mentioned method of work, its superimposed data of multiple data points of destination object that make by cosine function are gone trending and sampling, thus make related data be convenient to process in sample.
As a modification of the present invention, described step 3.4) in, to sample this quantity identical with the sum of the data point that destination object comprises, to sample in include 1024 samples; Described step 3.5) in, low frequency is 0.02Hz, high frequency be 2Hz.Adopt above-mentioned method of work, it is consistent by the quantity of sample and the sum of the data point that destination object comprises, is convenient to distribute when the data of destination object are processed in sample, thus makes its treatment effeciency reach best.
As a modification of the present invention, described step 3.5) in, the concrete grammar obtaining the sleep quality index of destination object according to low frequency coupling value and high-frequency coupling value is respectively, by by the real-time cardiopulmonary index of coupling of destination object and low frequency coupling value, and high-frequency coupling value compares, lower than low frequency coupling value then for the shallow phase of sleeping, be then the phase of sleeping soundly higher than high-frequency coupling value, be lucid interval between low frequency coupling value and high-frequency coupling value.
The above-mentioned sleep quality detection method based on electrocardiosignal, it is by detecting the electrocardiosignal of targeted customer, thus obtain normal heart beat interval sequential and the respiration information sequential of targeted customer, and by carrying out its mutual crosspower spectrum and the calculating thinking mass dryness fraction both above-mentioned, and the cardiopulmonary index of coupling of targeted customer is derived by its result of calculation, and then make the cardiopulmonary index of coupling, and then effectively examination and analysb is carried out to the sleep quality of user; The sleep quality checkout equipment based on electrocardiosignal adopted required for the above-mentioned sleep quality detection method based on electrocardiosignal includes, ECG signal sampling instrument, and with the main control system of its electric connection.
Carry out sleep detection with the above-mentioned sleep quality detection method based on electrocardiosignal to destination object, detection time is 00:24:03 to 07:53:41, detects in seconds, and wherein, it is as shown in the table that part detects data:
| Moment (s) | Interval time (s) | Breath signal intensity |
| 2148.685 | 1.080 | -52 |
| 2149.650 | 0.965 | -45 |
| 2150.660 | 1.010 | 8 |
| 2151.750 | 1.090 | -10 |
| 2152.810 | 1.060 | 11 |
| 2153.750 | 0.940 | 32 |
| 2154.785 | 1.035 | -13 |
| 2155.810 | 1.025 | -10 |
| 2156.785 | 0.975 | 4 |
| 2157.700 | 0.915 | 38 |
| 2159.700 | 1.010 | -18 |
| 2160.610 | 0.910 | 0 |
| 2162.575 | 1.030 | -28 |
| 2163.580 | 1.005 | 55 |
| 2164.490 | 0.910 | -8 |
| 2165.505 | 1.015 | 12 |
| 2166.595 | 1.090 | 47 |
| 2167.560 | 0.965 | 61 |
| 2168.505 | 0.945 | 82 |
| 2169.515 | 1.010 | -30 |
| 2170.550 | 1.035 | -44 |
Wherein, the detection moment is, from 00:24:03, and the moment that in destination object heartbeat interval, each R peak occurs; Interval time is, the moment that each R peak occurs and a upper peak-to-peak interval of R; Breath signal intensity represents that the breath signal of current target object is strong and weak, positive and negative air-breathing and the expiration representing destination object respectively.
Based on above-mentioned data, the algorithm in the present invention is adopted to obtain each moment, the sleep quality index of destination object, and the different sleep qualities of numerically destination object, wherein, 3 represent and sleep soundly, 2 represent maincenter type Apnea, 1 and-1 represents obstructive type Apnea, and its Apnea degree is gone forward one by one, and-2 represent daydream or clear-headed stage; Because the Apnea state of destination object only betides shallow sleeping the stage, so-1,1,2 can represent that destination object is in shallow sleeping the stage; Destination object not in the same time under sleep quality can see the following form:
| Moment (s) | Sleep quality index |
| 2148.685 | -1 |
| 2149.650 | -1 |
| 2150.660 | 1 |
| 2151.750 | 1 |
| 2152.810 | 2 |
| 2153.750 | 3 |
| 2154.785 | 3 |
| 2155.810 | 3 |
| 2156.785 | -1 |
| 2157.700 | -1 |
| 2159.700 | 2 |
| 2160.610 | 3 |
| 2162.575 | -1 |
| 2163.580 | -1 |
| 2164.490 | -2 |
| 2165.505 | -2 |
| 2166.595 | 1 |
| 2167.560 | -1 |
| 2168.505 | -1 |
| 2169.515 | 2 |
| 2170.550 | 3 |
Based on above-mentioned data, its can clearly obtain destination object each time the sleep state inscribed, thus destination object can be helped to adjust its sleep, to obtain better sleep quality.
Adopt the sleep quality detection method based on electrocardiosignal of technique scheme, what it adopted singly lead, and ECG signal sampling instrument can realize remote monitoring, thus make destination object without the need to being limited to hospital, all can detect the sleep index of destination object in place of sleeping arbitrarily, and then improve the suitability of above-mentioned sleep detection method; Simultaneously, above-mentioned sleep quality detection method is by the combination by normal heart beat interval sequential and respiration information sequential, make in clinical course, the typical noise that respiration information has is eliminated under the impact of normal heart beat interval signal, thus make the relevant information that can effectively obtain both it between synchronous heart rate and pneodynamics, and then realize the accurate detection to destination object sleep index; In addition, it effectively can reduce the too much Testing index for patient, effectively prevent the inconvenience that testing process may cause for patient.
Claims (9)
1. based on a sleep quality detection method for electrocardiosignal, it is characterized in that, the described detection carrying out sleep quality for destination object based on the sleep quality detection method of electrocardiosignal comprises the steps:
1) by the electrocardiosignal of destination object and the detection of breath signal, the IBI sequence of destination object is obtained, and breath signal sequence;
2) by the IBI sequence of destination object that obtains in step 1) and breath signal sequence, deep sleep's quality index of destination object is calculated.
2., according to the sleep quality detection method based on electrocardiosignal according to claim 1, it is characterized in that, described step 2) in, deep sleep's index of destination object comprise shallow in sleep procedure of destination object sleep the time with sleep soundly the time.
3. according to the sleep quality detection method based on electrocardiosignal according to claim 2, it is characterized in that, described step 1) and step 2) in, the electrocardiosignal of destination object and breath signal are detected, and the sleep quality calculating destination object refers to calibration method is:
3.1) by the normal heartbeat interval sequential of ECG signal sampling instrument measurement target object, and its breath signal sequential, and inputted service host;
3.2) by step 3.1) in measure the normal heartbeat interval sequential of destination object and its breath signal sequential of gained, calculate its crosspower spectrum between the two and degree of coherence respectively;
3.3) by step 3.2) in crosspower spectrum between the normal heartbeat interval sequential of destination object that obtains and its breath signal, and degree of coherence, obtains the cardiopulmonary index of coupling of destination object;
3.4) by step 3.3) in the acquisition methods of the cardiopulmonary index of coupling of destination object, in multiple sample, the cardiopulmonary index of coupling of multiple data points of destination object is calculated;
3.5) by step 3.4) in the calculating of the cardiopulmonary index of coupling of multiple data points on target opposite, obtain its low frequency coupling value and high-frequency coupling value respectively, and obtain the sleep quality index of destination object respectively according to low frequency coupling value and high-frequency coupling value.
4., according to the sleep quality detection method based on electrocardiosignal according to claim 3, it is characterized in that, described step 3.1) in, the concrete grammar of the normal heartbeat interval sequential of measurement target object is:
4.1) by the electrocardiosignal of ECG signal sampling instrument measurement target object;
4.2) by step 4.1) in the electrocardiosignal that obtains carry out the detection of QRS wave group, obtain R-Wave of ECG Signal peak value and the moment occur, and obtain the R-R interval in electrocardiosignal by the generation moment of multiple R crest value in electrocardiosignal;
4.3) by getting rid of step 4.2) in improper heartbeat interval in R-R interval, obtain the normal heartbeat interval sequential in electrocardiosignal.
5. according to the sleep quality detection method based on electrocardiosignal according to claim 4, it is characterized in that, described step 4.1) in, the measuring method of breath signal sequential is: by by the measuring process of electrocardiosignal, the detecting electrode of ECG signal sampling instrument relative to target cardiac position with the respirometric real-time change of destination object, and destination object thoracic cavity internal resistance resists the real-time change of carrying out with breathing to be fitted to each other, thus obtain the breath signal sequential of destination object.
6. according to the sleep quality detection method based on electrocardiosignal according to claim 5, it is characterized in that, described step 4.2) in, its calculation procedure 4.1) in measure the normal heartbeat interval sequential of destination object of gained, and the method for crosspower spectrum between breath signal sequential and degree of coherence is:
The normal heartbeat interval sequential of destination object and its breath signal sequential are sampled again, and by the normal heartbeat interval sequential after resampling, and breath signal sequential carries out the calculating that Fourier's change realizes its mutual crosspower spectrum and degree of coherence;
Described step 4.3) in, the cardiopulmonary index of coupling of destination object is step 2) the middle product calculated between the crosspower spectrum of gained and degree of coherence.
7., according to the sleep quality detection method based on electrocardiosignal according to claim 3, it is characterized in that, described step 3.4) in, to the method that the cardiopulmonary index of coupling in multiple sample calculates be:
7.1) sample ading up to A is divided into multiple subsamples group, the sample size in the group of multiple subsamples is all equal, and the sample in adjacent two subsample groups overlaps each other; Multiple data points of destination object are divided equally in the group of multiple subsamples, and in the group of each subsample, respectively the normal heartbeat interval sequential of multiple data points of destination object and its breath signal sequential are carried out to the calculating of its mutual crosspower spectrum and degree of coherence, and carry out the calculating of the cardiopulmonary index of coupling of multiple data point according to its result of calculation;
7.2) to anyon sample group, with in this subsample group sample size repeat above-mentioned steps 7.2) operation, until the cardiopulmonary index of coupling of multiple data points of destination object all completes calculating.
8. according to the sleep quality checkout equipment based on electrocardiosignal according to claim 7, it is characterized in that, described step 7.1) in, before multiple data points of destination object carry out the calculating of the cardiopulmonary index of coupling in sample; the accurate cosine function of label taking, itself and time series data are carried out lamination process.
9. according to the sleep quality checkout equipment based on electrocardiosignal described in claim 7 or 8, it is characterized in that, described step 3.5) in, the concrete grammar obtaining the sleep quality index of destination object according to low frequency coupling value and high-frequency coupling value is respectively, by by the real-time cardiopulmonary index of coupling of destination object and low frequency coupling value, and high-frequency coupling value compares, lower than low frequency coupling value then for the shallow phase of sleeping, be then the phase of sleeping soundly higher than high-frequency coupling value, be lucid interval between low frequency coupling value and high-frequency coupling value.
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