CN109009073A - Atrial fibrillation detection device and storage medium - Google Patents
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Abstract
The present invention provides a kind of atrial fibrillation detection device and storage medium, which includes: extraction module, for extracting P wave shape information and QRS wave shape information in electrocardiosignal；First determining module, connect with extraction module, for determining P wave variation characteristic according to P wave shape information；Second determining module, connect with extraction module, for determining PR interphase variation characteristic according to QRS wave shape information；Third determining module, connect with extraction module, for determining RR interphase variation characteristic according to QRS wave shape information；Computing module is connect with third determining module, for calculating the comentropy of RR interphase variation characteristic using entropy estimate method；4th determining module is connect with the first determining module, the second determining module and computing module, for determining whether electrocardiosignal is atrial fibrillation according to P wave variation characteristic, PR interphase variation characteristic, comentropy and default disaggregated model.The robustness of atrial fibrillation detection can be improved in the present invention.
Description
Technical field
The present embodiments relate to signal processing technology more particularly to a kind of atrial fibrillation detection device and storage mediums.
Background technique
Auricular fibrillation (Atrial fibrillation, referred to as: AF) abbreviation atrial fibrillation, is a kind of clinical relatively conventional heart
Arrhythmic diseases are restrained, its main feature is that the complication such as the atrial activity of disorder and the following brain soldier, myocardial infarction, cause higher
Disability rate and the death rate seriously endanger the health and lives of the mankind.In order to find and be treated early, the hair of atrial fibrillation is reduced
Sick rate and the death rate, research atrial fibrillation detection have important clinical meaning and social effect.
But the research of existing atrial fibrillation detection, which focuses mostly on, studies some clinical manifestation of atrial attack, and robustness is poor,
It is difficult to meet clinical demand.
Summary of the invention
The embodiment of the present invention provides a kind of atrial fibrillation detection device and storage medium, full to improve the robustness of atrial fibrillation detection
Sufficient clinical demand.
In a first aspect, the embodiment of the present invention provides a kind of atrial fibrillation detection device, comprising:
Extraction module, for extracting P wave shape information and QRS wave shape information in electrocardiosignal；
First determining module is connect with the extraction module, for determining that the variation of P wave is special according to the P wave shape information
Sign, the P wave variation characteristic are used to indicate the relationship in the P wave shape information between maxima and minima；
Second determining module is connect with the extraction module, for determining that PR interphase becomes according to the QRS wave shape information
Change feature；
Third determining module is connect with the extraction module, for determining that RR interphase becomes according to the QRS wave shape information
Change feature；
Computing module is connect with the third determining module, special for calculating the RR interphase variation using entropy estimate method
The comentropy of sign；
4th determining module is connect with first determining module, second determining module and the computing module, is used
According to the P wave variation characteristic, the PR interphase variation characteristic, the comentropy and default disaggregated model, the heart is determined
Whether electric signal is atrial fibrillation.
In a kind of possible embodiment, first determining module is specifically used for:
The corresponding P wave train of the P wave shape information is divided into multiple subsequences；
Determine the difference of maximum value and minimum value in each subsequence；
Determine maximum difference in the difference of the multiple subsequence；
The maximum difference is obtained into the P wave variation characteristic divided by maximum value in the P wave train.
In a kind of possible embodiment, second determining module includes:
First determines submodule, for determining PR interphase according to the QRS wave shape information；
Second determines that submodule, the probability density function for corresponding to phase space according to the PR interphase determine between the PR
Phase variation characteristic.
In a kind of possible embodiment, described second determines that submodule is specifically used for:
The PR interphase variation characteristic is determined according to the following formula:
Wherein, PRIV indicates the PR interphase variation characteristic；The PR interphase is expressed as x (n), n=1 ... m, m PR
Interphase；The probability density function in the PR interphase corresponding phase space be expressed as y (n)=(x (n), x (n+1) ..., x (n+ (m-
1)t))；Σ indicates summation symbol, | | | | indicate Euclidean distance, h indicates that step function, t indicate delay time, and C is indicated
Combinatorial operation, r indicate that parameter preset, N indicate sample size.
In a kind of possible embodiment, the third determining module includes:
Third determines submodule, for determining RR interphase according to the QRS wave shape information；
4th determines submodule, determines that submodule is connected with the third, for determining the interphase difference sequence of the RR interphase
The histogram feature of column and the interphase difference sequence, the histogram feature includes position in the histogram of the interphase difference sequence
Number, mean value and standard deviation；
Correspondingly, the computing module is specifically used for: calculating the comentropy and the interphase difference sequence of the interphase difference sequence
Arrange the comentropy of corresponding histogram.
In a kind of possible embodiment, the described 4th determines submodule for determining the histogram of the interphase difference sequence
When figure feature, specifically:
The corresponding histogram of the interphase difference sequence is determined according to the following formula:
Wherein, H Δ RR (i1) indicate the corresponding histogram of the interphase difference sequence；△RRmax、△RRminRespectively indicate institute
State the maximum constrained value and least commitment value of interphase difference sequence；i1Indicate the abscissa of histogram, maximum value M1, M1It indicates
Histogram width, M1Adjustment mode are as follows:N1For the length of the interphase difference sequence；j1Indicate institute
State the jth of interphase difference sequence1A element；Sgn () is sign function；[] is to be rounded symbol downwards.
In a kind of possible embodiment, the computing module the comentropy that calculates the interphase difference sequence and it is described between
Before the comentropy of the corresponding histogram of phase difference sequence, it is also used to:
The interphase difference sequence for choosing preset length is First ray；
The most value of predetermined number in the First ray is removed, the most value includes at least any in maximum value and minimum value
It is a.
In a kind of possible embodiment, above-mentioned atrial fibrillation detection device can also include: output module, really with the described 4th
Cover half block connection, for export the electrocardiosignal whether be atrial fibrillation result.
Second aspect, the embodiment of the present invention provide a kind of atrial fibrillation detection device, including memory and processor, and storage
The computer program executed on the memory for the processor；The processor executes the computer program and realizes
Following operation:
Extract the P wave shape information and QRS wave shape information in electrocardiosignal；
P wave variation characteristic is determined according to the P wave shape information, and the P wave variation characteristic is for indicating the P wave waveform
Relationship in information between maxima and minima；
PR interphase variation characteristic and RR interphase variation characteristic are determined according to the QRS wave shape information；
The comentropy of the RR interphase variation characteristic is calculated using entropy estimate method；
According to the P wave variation characteristic, the PR interphase variation characteristic, the comentropy and default disaggregated model, determine
Whether the electrocardiosignal is atrial fibrillation.
The third aspect, the embodiment of the present invention provide a kind of computer readable storage medium, including computer-readable instruction, when
When processor reads and executes the computer-readable instruction, so that the processor performs the following operations:
Extract the P wave shape information and QRS wave shape information in electrocardiosignal；
P wave variation characteristic is determined according to the P wave shape information, and the P wave variation characteristic is for indicating the P wave waveform
Relationship in information between maxima and minima；
PR interphase variation characteristic and RR interphase variation characteristic are determined according to the QRS wave shape information；
The comentropy of the RR interphase variation characteristic is calculated using entropy estimate method；
According to the P wave variation characteristic, the PR interphase variation characteristic, the comentropy and default disaggregated model, determine
Whether the electrocardiosignal is atrial fibrillation.
In any of the above-described design, the default disaggregated model is the accuracy rate of testing result height obtained according to training data
In the disaggregated model of preset value.
Atrial fibrillation detection device provided in an embodiment of the present invention and storage medium, first the P wave waveform in extraction electrocardiosignal
Information and QRS wave shape information；Then, P wave variation characteristic is determined according to P wave shape information, the P wave variation characteristic is for indicating
Relationship in the P wave shape information between maxima and minima, and determine that the variation of PR interphase is special according to QRS wave shape information
Sign and RR interphase variation characteristic；Later, the comentropy of RR interphase variation characteristic is calculated using entropy estimate method；Finally, being become according to P wave
Change feature, PR interphase variation characteristic, comentropy and default disaggregated model, determines whether the electrocardiosignal is atrial fibrillation.Due to this hair
Bright embodiment integrates P wave variation characteristic, PR interphase variation characteristic, comentropy to determine whether electrocardiosignal is atrial fibrillation, compares mesh
The preceding implementation for passing through a clinical manifestation research atrial fibrillation and whether breaking out, can be improved the robustness of atrial fibrillation detection, meets clinical
Demand.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the structural schematic diagram for the atrial fibrillation detection device that one embodiment of the invention provides；
Fig. 2 is the exemplary diagram for the electrocardiosignal that actual acquisition obtains；
Fig. 3 is the exemplary diagram of a kind of P wave shape information and QRS wave shape information；
Fig. 4 be another embodiment of the present invention provides atrial fibrillation detection device structural schematic diagram；
Fig. 5 is the structural schematic diagram for the atrial fibrillation detection device that further embodiment of this invention provides；
Fig. 6 is the structural schematic diagram for the atrial fibrillation detection device that further embodiment of this invention provides；
Fig. 7 is the structural schematic diagram for the atrial fibrillation detection device that further embodiment of this invention provides.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The specification of the embodiment of the present invention, claims and term " first " in above-mentioned attached drawing and " second " etc. are to use
In distinguishing similar object, without being used to describe a particular order or precedence order.It should be understood that the data used in this way exist
It can be interchanged in appropriate situation, so that the embodiment of the present invention described herein for example can be in addition to illustrating herein or describing
Those of other than sequence implement.In addition, term " includes " and " having " and their any deformation, it is intended that covering is not
Exclusive includes, for example, the process, method, system, product or equipment for containing a series of steps or units be not necessarily limited to it is clear
Step or unit those of is listed on ground, but is not clearly listed or for these process, methods, product or is set
Standby intrinsic other step or units.
Inventor's discovery: two important clinicals when atrial attack show themselves in that 1) P wave disappearance, the continuous f not waited occur
Wave；2) RR interphase is absolutely irregular.In addition, the difficult point of atrial fibrillation detection is: on the one hand, P wave and f wave weak output signal, it is difficult to examine
It surveys；On the other hand, RR interphase is irregularly also one of the feature of other arrhythmia cordis.Currently, the research of atrial fibrillation detection focuses mostly on
Some single clinical manifestation of atrial attack is studied, robustness is poor, is difficult meet the needs of clinical practice.
Based on above-mentioned, the embodiment of the present invention provides a kind of comprehensive P wave variation characteristic, PR interphase variation characteristic, comentropy
Atrial fibrillation detection device and storage medium are suitble to practical application scene to improve the robustness of atrial fibrillation detection.
Fig. 1 is the structural schematic diagram for the atrial fibrillation detection device that one embodiment of the invention provides.The embodiment provides a kind of room
It quivers detection device, which can be realized by way of software and/or hardware.Illustratively, atrial fibrillation detection dress
It sets and can include but is not limited to the electronic equipments such as portable electrocardiograph, wearable device and computer, server.Wherein, it services
Device can be in a server, or the server cluster consisted of several servers or a cloud computing service
The heart.
As shown in Figure 1, atrial fibrillation detection device 10 includes: extraction module 11, the first determining module 12, the second determining module
13, third determining module 14, computing module 15 and the 4th determining module 16.
Wherein, extraction module 11, for extracting P wave shape information and QRS wave shape information in electrocardiosignal.
Specifically, electrocardiosignal can be collected original electro-cardiologic signals, or electrocardio letter after pretreatment
Number.Wherein, pretreatment may include the processing such as impedance matching, filtering, amplification, filtering.It is appreciated that the heart that actual acquisition obtains
Electric signal example as shown in Figure 2 includes various noises, and waveform is coarse, rough, causes the useful information contained in QRS wave difficult
To extract.Therefore, noise reduction etc. can be carried out by pretreatment.
Illustratively, it can use multi-channel synchronous data acquisition in practical applications for human heart signal to be processed
And ambient noise, i.e. original electro-cardiologic signals.Firstly, obtaining original electro-cardiologic signals by cardiac diagnosis lead and sensor；Later, pass through
Analog circuit carries out the processing such as impedance matching, filtering, amplification to the original electro-cardiologic signals of acquisition, obtains analog signal；Then, by
Analog signal is converted digital signal by analog-digital converter, is stored by memory；Subsequently, using lowpass digital filter (example
Such as Butterworth filter) low-pass filtering is carried out to digital signal, high-frequency noise (300Hz or more) is filtered out, is obtained filtered
Electrocardiosignal.
Wherein, P wave is Atrial depolarization wave, represents the excitement in two atrium of left and right.Since sinoatrial node is located under the inner membrance of atrium dextrum,
So atrium dextrum is passed in excitement first, it is later to pass to atrium sinistrum.The depolarization effect of atrium dextrum is therefore also slightly more early than atrium sinistrum to be finished.
Clinically for practical purposes, the front of P wave represents the excitement of atrium dextrum, and rear portion represents the excitement of atrium sinistrum.P wave is analyzed to the heart
Not normal Diagnosis and differential diaggnosis is restrained to be of great significance.
QRS wave shape information reflects that Ventricular removes the variation of electrode potential and time, and first downward wave is Q wave, to
On wave be R wave, then downward wave is S wave.It is the QRS time limit from QRS wave starting point to the time of QRS wave terminal.With reference to Fig. 3,
The example of a kind of P wave shape information and QRS wave shape information is shown.
In some embodiments, the P wave shape information and QRS wave wave in electrocardiosignal can be extracted using wavelet transformation technique
Shape information.
First determining module 12, connect with extraction module 11, for determining P wave variation characteristic according to P wave shape information.
Wherein, P wave variation characteristic is the feature for indicating the variation of P wave shape information, for example, the P wave variation characteristic is for indicating P
Relationship in wave shape information between maxima and minima.
Second determining module 13, connect with extraction module 11, for determining that PR interphase changes according to QRS wave shape information
Feature.Wherein, PR interphase variation characteristic is the feature for indicating the variation of PR interphase.In the different electrocardiosignal periods, between PR
The specific value of phase may be different.PR interphase is that atrium starts a period of time that depolarization starts depolarization to ventricle.Adult's heart rate
In normal range (NR), PR interphase is 0.12~0.20 second.PR interphase is different with heart rate and age, and general rule is that heart rate is faster
Or the age is smaller, PR interphase is shorter；Conversely, then longer, the heart rate of the elderly is slow, and PR interphase may be up to 0.21~0.22
Second.
The third determining module 14, connect with extraction module 11, for determining that RR interphase changes according to QRS wave shape information
Feature.Wherein, RR interphase variation characteristic is the feature for indicating the variation of RR interphase.In the different electrocardiosignal periods, between RR
The specific value of phase may be different.Illustratively, the calculation method of RR interphase is: 60 divided by heart rate (normal sinus rhythm be 60
~100 beats/min), so PP interphase is 0.6~1.0s.
It specifically, include the variation tendency of waveform in shape information, waveform corresponds to time and amplitude, and amplitude is in fluctuation
State.Therefore, P wave variation characteristic can be determined according to P wave shape information, determine that the variation of PR interphase is special according to QRS wave shape information
It seeks peace RR interphase variation characteristic.
Still by taking Fig. 3 as an example, the datum mark of electrocardiosignal can be obtained by TP baseline and PQ baseline, and be calculated between RR
Phase, PR interphase and P wave train, and then determine RR interphase variation characteristic, PR interphase variation characteristic and P wave variation characteristic.
The computing module 15, connect with third determining module 14, for calculating RR interphase variation characteristic using entropy estimate method
Comentropy.When atrial fibrillation, intra-auricular high frequency stimulation signal leads to the uncertain enhancing that RR interphase generates, thus it is corresponding
Comentropy will increase, this is the basic principle that entropy estimate method can be applied to atrial fibrillation detection.
4th determining module 16 connect with the first determining module 12, the second determining module 13 and computing module 15, is used for
According to P wave variation characteristic, PR interphase variation characteristic, comentropy and default disaggregated model, determine whether electrocardiosignal is atrial fibrillation.
Specifically, using P wave variation characteristic, PR interphase variation characteristic, comentropy as the input feature vector of default disaggregated model,
By presetting the classification of disaggregated model, atrial fibrillation and non-atrial fibrillation can be distinguished.Wherein, default disaggregated model is according to a large amount of instructions
Practice the disaggregated model that the accuracy rate of testing result that data obtain is higher than preset value.Optionally, the value of preset value can be according to reality
Demand is configured, for example, value is 99.9% etc..
During training obtains default disaggregated model, it will extract between the P wave variation characteristic of obtained training data, PR
" atrial fibrillation ", " non-atrial fibrillation " are marked conduct as the input sample X of the default disaggregated model of training by phase variation characteristic and comentropy
The output Y of default disaggregated model, (X, Y) collectively constitutes the training sample pair of default disaggregated model, carries out default disaggregated model instruction
Practice.Optimized parameter based on training sample to the default disaggregated model obtained with training, obtains trained default disaggregated model.
The default disaggregated model obtained using training, by P wave variation characteristic, PR interphase variation characteristic and the information of electrocardiosignal to be detected
Entropy inputs default disaggregated model as input sample X, carries out atrial fibrillation identification, obtains output Y: " atrial fibrillation " or " non-atrial fibrillation ".
Optionally, default disaggregated model can be support vector machines (Support Vector Machine, referred to as: SVM)
Regression model, but the embodiment of the present invention is not limited.
In conclusion extracting the P wave shape information and QRS wave shape information in electrocardiosignal first；Then, according to P wave
Shape information determines P wave variation characteristic, and the P wave variation characteristic is for indicating maxima and minima in the P wave shape information
Between relationship, and PR interphase variation characteristic and RR interphase variation characteristic are determined according to QRS wave shape information；Later, using entropy
The comentropy of estimation technique calculating RR interphase variation characteristic；Finally, according to P wave variation characteristic, PR interphase variation characteristic, comentropy and
Default disaggregated model, determines whether the electrocardiosignal is atrial fibrillation.Due to comprehensive P wave variation characteristic, PR interphase of the embodiment of the present invention
Variation characteristic, comentropy are compared to determine whether electrocardiosignal is atrial fibrillation and whether pass through a clinical manifestation research atrial fibrillation at present
The implementation of breaking-out can be improved the robustness of atrial fibrillation detection, meet clinical demand.
On the basis of the above embodiments, in a kind of implementation, the first determining module 12 can be specifically used for: by P wave
The corresponding P wave train of shape information is divided into multiple subsequences；Determine the difference of maximum value and minimum value in each subsequence；Really
Maximum difference in the difference of fixed multiple subsequences；Maximum difference is obtained into P wave variation characteristic divided by maximum value in P wave train.
For example, it is assumed that P (i, j) indicates the corresponding P wave train of P wave shape information, wherein i indicates the sample number of subsequence,
I is less than or equal to the sample number of P wave train；J-th of sample of j expression P wave train.Next, calculating maximum value in P wave train
With the difference of minimum value, which can be expressed as PD (i):
P wave variation characteristic is indicated using PDI, calculation formula is as follows:
Wherein,Indicate maximum difference,Indicate maximum value in P wave train.
In another implementation, the first determining module 12 can be specifically used for: determine the corresponding P wave of P wave shape information
The difference of maximum value and minimum value in sequence；The difference is obtained into P wave variation characteristic divided by maximum value in P wave train.It can manage
It solves, in the implementation, i is equal to the sample number of P wave train.
Fig. 4 be another embodiment of the present invention provides atrial fibrillation detection device structural schematic diagram.As shown in figure 4, in Fig. 1 institute
On the basis of showing structure, in atrial fibrillation detection device 40, the second determining module 13 may include: the first determining 131 He of submodule
Second determines submodule 132.Wherein,
First determines submodule 131, can be used for determining PR interphase according to QRS wave shape information.
Second determines submodule 132, can be used for being determined according to the probability density function that PR interphase corresponds to phase space between PR
Phase variation characteristic.
Further, second determine that submodule 132 is specifically used for:
PR interphase variation characteristic is determined according to the following formula:
Wherein, PRIV indicates the PR interphase variation characteristic；The PR interphase is expressed as x (n), n=1 ... m, m PR
Interphase；The probability density function in the PR interphase corresponding phase space be expressed as y (n)=(x (n), x (n+1) ..., x (n+ (m-
1)t))；Σ indicates summation symbol, | | | | indicate Euclidean distance, h indicates that step function, t indicate delay time, and C is indicated
Combinatorial operation, r indicate that parameter preset, N indicate sample size.
Fig. 5 is the structural schematic diagram for the atrial fibrillation detection device that further embodiment of this invention provides.As shown in figure 5, in Fig. 1 institute
On the basis of showing structure, in atrial fibrillation detection device 50, third determining module 14 may include: that third determines 141 He of submodule
4th determines submodule 142.Wherein,
The third determines submodule 141, for determining RR interphase according to QRS wave shape information.
4th determines submodule 142, determines that submodule is connected 141 with third, for determining the interphase difference sequence of RR interphase
The histogram feature of column and interphase difference sequence.Wherein, histogram feature may include interphase difference sequence histogram median,
Value and standard deviation etc..
Specifically, for QRS wave shape information, the interphase difference sequence Δ RR of RR interphase is calculated:
ΔRR(n1)=abs (R (n1+1)-RR(n1)),n1=1 ..., N1-1
Wherein, Δ RR (n1) indicate from n-th1A electrocardiosignal period and n-th1RR interphase during+1 electrocardiosignal week,
N1For the sum of RR interphase.
In some embodiments, the 4th determining submodule 142 is when for determining the histogram feature of interphase difference sequence, specifically
Are as follows:
The corresponding histogram of interphase difference sequence is determined according to the following formula:
Wherein, H Δ RR (i1) indicate the corresponding histogram of the interphase difference sequence；△RRmax、△RRminRespectively indicate institute
State the maximum constrained value and least commitment value of interphase difference sequence；i1Indicate the abscissa of histogram, maximum value M1, M1It indicates
Histogram width, M1Adjustment mode are as follows:N1For the length of the interphase difference sequence；j1Indicate institute
State the jth of interphase difference sequence1A element；Sgn () is sign function, exports 1 when value is greater than 0 in bracket, value in bracket
- 1 is exported when less than 0, exports 0 when value is equal to 0 in bracket；[] is to be rounded symbol downwards.
Illustratively, △ RRmaxWith △ RRminIt is preset fixed value.For example, △ RRmaxValue is 1500ms, △
RRminValue is -1500ms.Optionally, histogram width can be with automatic adjusument to meet actual demand.It is appreciated that working as N1
When larger, segment processing can be carried out to it, with speed up processing.
Finally, the 4th determines that submodule 142 according to the histogram calculation histogram feature of interphase difference sequence, is known as atrial fibrillation
Another characteristic.
Optionally, RR interphase variation characteristic includes that interphase difference sequence and the corresponding histogram of interphase difference sequence and histogram are special
Sign.Correspondingly, computing module 15 can be specifically used for: calculate the comentropy and the corresponding histogram of interphase difference sequence of interphase difference sequence
Comentropy.
In some embodiments, design Shannon entropy algorithm extracts the letter of interphase difference sequence and the corresponding histogram of interphase difference sequence
Entropy is ceased, knows another characteristic as atrial fibrillation.Illustrate specifying information entropy calculation method below.
In a kind of implementation, the comentropy calculation method of interphase difference sequence can be as follows:
1, the maximum, minimum RR interphase of solution interphase difference sequence are to obtain RR interphase range；
2, interphase difference sequence is divided into N within the scope of RR interphase2Section solves every section of corresponding RR interphase number M (n2), then
Probability existing for every section of RR interphase isn2=1,2 ..., N2。
3, the comentropy SE of interphase difference sequence is calculated:
In another implementation, the comentropy calculation method of interphase difference sequence can be as follows:
1, the interphase difference sequence for choosing preset length is First ray；
2, the most value for removing predetermined number in First ray, obtains the second sequence.This be most worth can include at least maximum value and
Any of minimum value.By the most value for removing predetermined number, it is possible to reduce the interference of systolia ectopica.Wherein, predetermined number
Size can be configured according to the actual situation.
3, the maximum of the second sequence of solution, minimum RR interphase are to obtain RR interphase range；
4, the second sequence is divided into N within the scope of RR interphase2Section solves every section of corresponding RR interphase number M (n2), then often
Section RR interphase existing for probability ben2=1,2 ..., N2；
5, the comentropy SE of the second sequence is calculated, the comentropy as interphase difference sequence:
The calculation method of the comentropy of the corresponding histogram of interphase difference sequence is same as above, and details are not described herein again.
To sum up, it is determined that following characteristics parameter:
P wave variation characteristic PDI；
PR interphase variation characteristic PRIV；
Histogram median, mean value and the standard deviation of interphase difference sequence；
The comentropy of interphase difference sequence；
The comentropy of the corresponding histogram of interphase difference sequence.
By features described above parameter atrial fibrillation characteristic parameter as input, default disaggregated model is established by training sample, and
Test sample output test result is acted on, realizes atrial fibrillation identification.
Further, computing module 15 can also be connect with the first determining module 12 and the second determining module 13, be used for
Calculate the opposite variation of P wave variation characteristic and PR interphase variation characteristic.P wave variation characteristic is calculated divided by PR interphase variation characteristic
Ratio, the opposite variation which both is.For example, indicating that P wave variation characteristic, PRIV indicate that PR interphase becomes using PDI
Change feature, PPR indicates opposite variation, then has
It opposite will change PPR also atrial fibrillation characteristic parameter as input, default disaggregated model is established by training sample, and
Test sample output test result is acted on, realizes atrial fibrillation identification.
Above-mentioned processing is directed to single lead electrocardiosignal and illustrates.Optionally, electrocardiosignal can also be believed for multi-lead electrocardio
Number.In this case, the opposite variation for calculating P wave variation characteristic and PR interphase variation characteristic can specifically include: calculate each
First opposite variation of the corresponding P wave variation characteristic of lead electrocardiosignal and PR interphase variation characteristic；Determine each lead electrocardio letter
The mean value of number corresponding first opposite variation is opposite variation.
For multi-lead electrocardiosignal, it is assumed that lead number is M, then will obtain M first opposite variation PPR, it is flat to calculate it
Mean value PPRM, is shown below:
Wherein, PPRMq indicates q-th of PPRM being calculated, PPR in continuous monitoring processs,qIt indicates in q-th of calculating
The PPR of s-th of lead.
Above-described embodiment, the mean value by the corresponding first opposite variation of each lead electrocardiosignal of determination is opposite variation,
The accuracy of testing result can be promoted.
Fig. 6 is the structural schematic diagram for the atrial fibrillation detection device that further embodiment of this invention provides.It is shown in Fig. 1 with reference to Fig. 6
On the basis of structure, further, atrial fibrillation detection device 60 can also include: output module 61.
The output module 61, connect with the 4th determining module 16, for changing spy according to P wave in the 4th determining module 16
Sign, PR interphase variation characteristic, comentropy and default disaggregated model export the electrocardio after determining whether electrocardiosignal is atrial fibrillation
Signal whether be atrial fibrillation result.
The embodiment, after the obtained atrial fibrillation classification results of identification, in single lead electrocardio patch comprising ECG module, more
It is shown on the electronic equipments such as sign device, patient monitor equipment, the basis as personal or doctor detection, diagnosis.Alternatively,
Can also be carried out by audio form electrocardiosignal whether be atrial fibrillation result output, the concrete form embodiment of the present invention refuses
Limitation.
Fig. 7 is the structural schematic diagram for the atrial fibrillation detection device that further embodiment of this invention provides.As shown in fig. 7, atrial fibrillation is examined
Surveying device 70 includes memory 71 and processor 72, and is stored in the computer journey executed on memory 71 for processor 72
Sequence.Processor 72 executes computer program and atrial fibrillation detection device 70 is made to realize following operation:
Extract the P wave shape information and QRS wave shape information in electrocardiosignal；
P wave variation characteristic is determined according to the P wave shape information, and the P wave variation characteristic is for indicating the P wave waveform
Relationship in information between maxima and minima；
PR interphase variation characteristic is determined according to the QRS wave shape information；
RR interphase variation characteristic is determined according to the QRS wave shape information；
The comentropy of the RR interphase variation characteristic is calculated using entropy estimate method；
According to the P wave variation characteristic, the PR interphase variation characteristic, the comentropy and default disaggregated model, determine
Whether the electrocardiosignal is atrial fibrillation.
It should be noted that the embodiment of the present invention is not limited for the number of memory 71 and processor 72,
All can be one or more, Fig. 7 is illustrated for one；It, can be by more between memory 71 and processor 72
Kind mode is carried out wired or is wirelessly connected.
In a kind of implementation, atrial fibrillation detection device 70 determines P wave variation characteristic according to the P wave shape information, comprising:
The corresponding P wave train of the P wave shape information is divided into multiple subsequences；
Determine the difference of maximum value and minimum value in each subsequence；
Determine maximum difference in the difference of the multiple subsequence；
The maximum difference is obtained the P wave divided by maximum value in the P wave train to change.
In some embodiments, atrial fibrillation detection device 70 determines PR interphase variation characteristic according to the QRS wave shape information, can
Include:
PR interphase is determined according to the QRS wave shape information；
The PR interphase variation characteristic is determined according to the probability density function that the PR interphase corresponds to phase space.
Optionally, atrial fibrillation detection device 70 determines the PR according to the probability density function that the PR interphase corresponds to phase space
Interphase variation characteristic, comprising:
The PR interphase variation is determined according to the following formula:
Wherein, PRIV indicates the PR interphase variation；The PR interphase is expressed as x (n), n=1 ... m, m are PR interphase；
The probability density function in the PR interphase corresponding phase space be expressed as y (n)=(x (n), x (n+1) ..., x (n+ (m-1)
t))；Σ indicates summation symbol, | | | | indicate Euclidean distance, h indicates that step function, t indicate delay time, C expression group
Operation is closed, r indicates that parameter preset, N indicate sample size.
In some embodiments, atrial fibrillation detection device 70 determines RR interphase variation characteristic according to the QRS wave shape information, packet
It includes:
RR interphase is determined according to the QRS wave shape information；
Determine the interphase difference sequence of the RR interphase and the histogram feature of the interphase difference sequence, the histogram feature
Histogram median, mean value and standard deviation including the interphase difference sequence.
Correspondingly, atrial fibrillation detection device 70 calculates the comentropy of the RR interphase variation characteristic using entropy estimate method, can be with
It include: the comentropy for the comentropy and corresponding histogram of the interphase difference sequence for calculating the interphase difference sequence.
Further, atrial fibrillation detection device 70 determines the histogram feature of the interphase difference sequence, may include:
The corresponding histogram of the interphase difference sequence is determined according to the following formula:
Wherein, H Δ RR (i1) indicate the corresponding histogram of the interphase difference sequence；△RRmax、△RRminRespectively indicate institute
State the maximum constrained value and least commitment value of interphase difference sequence；i1Indicate the abscissa of histogram, maximum value M1, M1It indicates
Histogram width, M1Adjustment mode are as follows:N1For the length of the interphase difference sequence；j1Indicate institute
State the jth of interphase difference sequence1A element；Sgn () is sign function；[] is to be rounded symbol downwards.
In some embodiments, also makes atrial fibrillation detection device 70 when computer program is executed by processor 72: calculating
Before the comentropy of the interphase difference sequence and the comentropy of the corresponding histogram of the interphase difference sequence, preset length is chosen
Interphase difference sequence is First ray；The most value of predetermined number in the First ray is removed, the most value includes at least maximum value
Any of with minimum value.
In some embodiments, also make atrial fibrillation detection device 70 when computer program is executed by processor 72: in basis
The P wave variation characteristic, the PR interphase variation characteristic, the comentropy and default disaggregated model, determine the electrocardiosignal
After whether being atrial fibrillation, export the electrocardiosignal whether be atrial fibrillation result.
Therefore, atrial fibrillation detection device 70 can also include display screen 73.The display screen 73 can be used for exporting the electrocardiosignal
Whether be atrial fibrillation result.
Wherein, display screen 73 can be capacitance plate, electromagnetic screen or infrared screen.In general, display screen 73 is used for basis
The instruction of processor 72 shows data, is also used to receive the touch operation for acting on display screen 73, and corresponding signal is sent
To processor 72 or the other component of atrial fibrillation detection device 70.It optionally, further include infrared when display screen 73 is infrared screen
The surrounding of display screen 73 is arranged in touching box, the infrared touch frame, can be also used for receiving infrared signal, and by the infrared letter
Number it is sent to the other component of processor 72 or atrial fibrillation detection device 70.
The embodiment of the present invention also provides a kind of computer readable storage medium, including computer-readable instruction, works as processor
When reading and executing the computer-readable instruction, so that the processor is executed such as the step in above-mentioned any embodiment.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above method embodiment can pass through
The relevant hardware of program instruction is completed, and program above-mentioned can be stored in a computer readable storage medium, the program
When being executed, step including the steps of the foregoing method embodiments is executed；And storage medium above-mentioned includes: read-only memory (Read-Only
Memory, referred to as: ROM), random access memory (Random Access Memory, referred to as: RAM), magnetic or disk etc.
The various media that can store program code.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (10)
1. a kind of atrial fibrillation detection device characterized by comprising
Extraction module, for extracting P wave shape information and QRS wave shape information in electrocardiosignal；
First determining module is connect with the extraction module, for determining P wave variation characteristic, institute according to the P wave shape information
P wave variation characteristic is stated for indicating the relationship in the P wave shape information between maxima and minima；
Second determining module is connect with the extraction module, for determining that the variation of PR interphase is special according to the QRS wave shape information
Sign；
Third determining module is connect with the extraction module, for determining that the variation of RR interphase is special according to the QRS wave shape information
Sign；
Computing module is connect with the third determining module, for calculating the RR interphase variation characteristic using entropy estimate method
Comentropy；
4th determining module is connect with first determining module, second determining module and the computing module, is used for root
According to the P wave variation characteristic, the PR interphase variation characteristic, the comentropy and default disaggregated model, the electrocardio letter is determined
It number whether is atrial fibrillation.
2. the apparatus according to claim 1, which is characterized in that first determining module is specifically used for:
The corresponding P wave train of the P wave shape information is divided into multiple subsequences；
Determine the difference of maximum value and minimum value in each subsequence；
Determine maximum difference in the difference of the multiple subsequence；
The maximum difference is obtained into the P wave variation characteristic divided by maximum value in the P wave train.
3. the apparatus according to claim 1, which is characterized in that second determining module includes:
First determines submodule, for determining PR interphase according to the QRS wave shape information；
Second determines that submodule, the probability density function for corresponding to phase space according to the PR interphase determine that the PR interphase becomes
Change feature.
4. device according to claim 3, which is characterized in that described second determines that submodule is specifically used for:
The PR interphase variation characteristic is determined according to the following formula:
Wherein, PRIV indicates the PR interphase variation characteristic；The PR interphase is expressed as x (n), n=1 ... m, m are PR interphase；
The probability density function in the PR interphase corresponding phase space be expressed as y (n)=(x (n), x (n+1) ..., x (n+ (m-1)
t))；Σ indicates summation symbol, | | | | indicate Euclidean distance, h indicates that step function, t indicate delay time, C expression group
Operation is closed, r indicates that parameter preset, N indicate sample size.
5. the apparatus according to claim 1, which is characterized in that the third determining module includes:
Third determines submodule, for determining RR interphase according to the QRS wave shape information；
4th determine submodule, determine that submodule is connected with the third, for determine the RR interphase interphase difference sequence and
The histogram feature of the interphase difference sequence, the histogram feature include the interphase difference sequence histogram median,
Value and standard deviation；
Correspondingly, the computing module is specifically used for: calculate the interphase difference sequence comentropy and the interphase difference sequence pair
The comentropy for the histogram answered.
6. device according to claim 5, which is characterized in that the described 4th determines submodule for determining the interphase
When the histogram feature of difference sequence, specifically:
The corresponding histogram of the interphase difference sequence is determined according to the following formula:
Wherein, H Δ RR (i1) indicate the corresponding histogram of the interphase difference sequence；△RRmax、△RRminRespectively indicate the interphase
The maximum constrained value and least commitment value of difference sequence；i1Indicate the abscissa of histogram, maximum value M1, M1Indicate histogram
Width, M1Adjustment mode are as follows:N1For the length of the interphase difference sequence；j1Indicate the interphase
The jth of difference sequence1A element；Sgn () is sign function；[] is to be rounded symbol downwards.
7. device according to claim 5, which is characterized in that the computing module is in the letter for calculating the interphase difference sequence
Before the comentropy for ceasing entropy and the corresponding histogram of the interphase difference sequence, it is also used to:
The interphase difference sequence for choosing preset length is First ray；
The most value of predetermined number in the First ray is removed, the most value includes at least any of maximum value and minimum value.
8. device according to any one of claims 1 to 7, which is characterized in that further include:
Output module is connect with the 4th determining module, for export the electrocardiosignal whether be atrial fibrillation result.
9. a kind of atrial fibrillation detection device, which is characterized in that including memory and processor, and being stored in can on the memory
The computer program executed for the processor；
The processor executes the computer program and realizes following operation:
Extract the P wave shape information and QRS wave shape information in electrocardiosignal；
P wave variation characteristic is determined according to the P wave shape information, and the P wave variation characteristic is for indicating the P wave shape information
Relationship between middle maxima and minima；
PR interphase variation characteristic and RR interphase variation characteristic are determined according to the QRS wave shape information；
The comentropy of the RR interphase variation characteristic is calculated using entropy estimate method；
According to the P wave variation characteristic, the PR interphase variation characteristic, the comentropy and default disaggregated model, determine described in
Whether electrocardiosignal is atrial fibrillation.
10. a kind of computer readable storage medium, which is characterized in that including computer-readable instruction, when processor is read and is held
When the row computer-readable instruction, so that the processor performs the following operations:
Extract the P wave shape information and QRS wave shape information in electrocardiosignal；
P wave variation characteristic is determined according to the P wave shape information, and the P wave variation characteristic is for indicating the P wave shape information
Relationship between middle maxima and minima；
PR interphase variation characteristic and RR interphase variation characteristic are determined according to the QRS wave shape information；
The comentropy of the RR interphase variation characteristic is calculated using entropy estimate method；
According to the P wave variation characteristic, the PR interphase variation characteristic, the comentropy and default disaggregated model, determine described in
Whether electrocardiosignal is atrial fibrillation.
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