CN109009079A - User Status detection system and method, computer equipment, computer storage medium - Google Patents
User Status detection system and method, computer equipment, computer storage medium Download PDFInfo
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- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
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Abstract
The present invention relates to a kind of User Status detection system and method, computer equipment, computer storage mediums.Above-mentioned User Status detection system includes: acquisition module, for acquiring the initial electrocardiosignal of user, carries out denoising to the initial electrocardiosignal using preset discrete wavelet signal, obtains denoising electrocardiosignal；First identification module obtains corresponding first energy of atrial wave, corresponding second energy of ventricular complex third energy corresponding with myocardium wave for identifying atrial wave, ventricular complex and myocardium wave from the denoising electrocardiosignal respectively；Detection module, for according to first energy, the second energy and third energy measuring User Status；According to first energy, the second energy and third energy measuring User Status.The present invention allows the state of mind of user according to its ECG signal sampling, it is not easy to by the interference of extraneous factor, accuracy with higher.
Description
Technical field
The present invention relates to signal processing technology fields, more particularly to a kind of User Status detection system and method, calculating
Machine equipment, computer storage medium.
Background technique
With the high speed development of economic level, the pressure that people face is increasing, and pressure type is also in diversification, all kinds of
The application of pressure be easy to cause the mental burden of people, and people is made to be in the different conditions such as stress is big, stress is normal,
If the states such as user's spirit exception occur and are continuously in abnormality, related psychiatric conditions may be caused, thus to user
State is detected, and identifies that abnormality plays a significant role in time.
At present for the detection of User Status usually using psychological signal as research object, by extracting user psychology signal
Multiple statistical natures, a variety of affective states etc. are improved using all kinds of classifiers can characterize the discrimination of parameter of the state of mind,
To realize the identification of User Status；However the psychological signal that above-mentioned traditional detection scheme needs to analyze is more, the feature of extraction
Number also increases, and is easy to cause the reduction of emotion recognition sensibility, influences the accuracy of User Status testing result.
Summary of the invention
Based on this, it is necessary to be easy the technical issues of influencing User Status testing result accuracy for traditional scheme, mention
For a kind of User Status detection system and method, computer equipment, computer storage medium.
A kind of User Status detection system, comprising:
Acquisition module, for acquiring the initial electrocardiosignal of user, using preset discrete wavelet signal to described initial
Electrocardiosignal carries out denoising, obtains denoising electrocardiosignal；
First identification module, for identifying atrial wave, ventricular complex and myocardium wave from the denoising electrocardiosignal, respectively
Obtain corresponding first energy of atrial wave, corresponding second energy of ventricular complex third energy corresponding with myocardium wave；
Detection module, for according to first energy, the second energy and third energy measuring User Status；
According to first energy, the second energy and third energy measuring User Status.
Above-mentioned User Status detection system is believed by acquiring the initial electrocardiosignal of user using preset discrete wavelet
Number denoising is carried out to the initial electrocardiosignal, denoising electrocardiosignal is obtained, to identify the atrium in denoising electrocardiosignal
Wave, ventricular complex and myocardium wave, obtain corresponding first energy of atrial wave, corresponding second energy of ventricular complex and cardiac muscle respectively
The corresponding third energy of wave, detects above-mentioned user's state in which, allows User Status according to its ECG signal sampling, do not allow
Vulnerable to the interference of extraneous factor, accuracy with higher.
The detection module is further used in one of the embodiments:
Corresponding first energy value of first energy and the first amplitude of variation are obtained respectively, and second energy is corresponding
Second energy value and the second amplitude of variation, the corresponding third energy value of the third energy and third amplitude of variation；
If first energy value is greater than the first amplitude threshold, the second energy less than the first energy threshold, the first amplitude of variation
For magnitude less than the second energy threshold, the second amplitude of variation is greater than the second amplitude threshold, and third energy value is less than third energy threshold,
And third amplitude of variation is greater than third amplitude threshold, then determines that the User Status is abnormal.
The present embodiment can the abnormality to user accurately detected.
As one embodiment, the User Status detection system, further includes:
Second identification module, for test user in obtain state it is normal when electrocardiosignal and abnormal state when
Electrocardiosignal is as training sample, the corresponding normal atrium of electrocardiosignal of identification characterization normal condition in the training sample
Wave, normal ventricle wave group and normal myocardium wave, the corresponding abnormal atrial wave of the electrocardiosignal of identification characterization abnormality, the abnormal heart
Room wave group and abnormal myocardium wave；
Determining module, for determining the first energy threshold and first respectively according to the normal atrium wave and abnormal atrial wave
Amplitude threshold determines the second energy threshold and the second amplitude threshold according to the normal ventricle wave group and abnormal atrial wave group respectively
Value determines third energy threshold and third amplitude threshold according to the normal myocardium wave and abnormal myocardium wave respectively.
The present embodiment can be to the first energy threshold, the first amplitude threshold, the second energy threshold, the second amplitude threshold,
Three energy thresholds and third amplitude threshold are accurately determined, are further ensured that the accuracy of subsequent user state-detection.
First identification module is further used in one of the embodiments:
Region division is carried out to the denoising electrocardiosignal, determines several segments atrial wave, several segments ventricular complex and several
The myocardium wave of section；
Calculate the second energy of the corresponding signal area of the ventricular complex；
The corresponding several pairs of atrial wave starting points of atrial wave and atrial wave terminal are identified, according to each pair of atrial wave starting point and atrium
Energy determines the first energy between wave terminal；
The corresponding several pairs of myocardium wave starting points of myocardium wave and myocardium wave terminal are identified, according to each to myocardium wave starting point and cardiac muscle
Energy between wave terminal determines third energy.
First energy, the second energy determined by the present embodiment and third energy accuracy with higher.
The User Status detection system in one of the embodiments, further includes:
Module is obtained, for obtaining the primary energy for continuously selecting wave signal, to continuously wave signal being selected to be reconstructed, acquisition connects
It is continuous to select the reconstruct energy after wave signal reconstruction；
Processing module will be described if the ratio between the reconstruct energy and primary energy is greater than fractional threshold
Continuously selecting wave signal processing is discrete wavelet signal.
As one embodiment, the processing module is further used for:
Wavelet scale and waveform translational movement are set；
According to the wavelet scale and waveform translational movement to continuously wave signal being selected to carry out sliding-model control, discrete wavelet is obtained
Signal.
It, can be with high degree when discrete wavelet signal determined by the present embodiment carries out denoising to initial electrocardiosignal
Ground retains the energy in initial electrocardiosignal, to guarantee in subsequent user User Status detection process, used electrocardio letter
The validity of number related data.
In one embodiment, the acquisition module is further used for:
Sub-band decomposition is carried out to the electrocardiosignal using preset discrete wavelet signal, obtains the wave band letter of multiple frequency ranges
Number；
The wave band coefficient for obtaining each band signal picks wave band coefficient the smallest in the wave band coefficient of each band signal
It removes, determines denoising electrocardiosignal according to the multiple band signals for rejecting wave band coefficient.
A kind of User Status detection method, comprising:
The initial electrocardiosignal for acquiring user, removes the initial electrocardiosignal using preset discrete wavelet signal
It makes an uproar processing, obtains denoising electrocardiosignal；
Atrial wave, ventricular complex and myocardium wave are identified from the denoising electrocardiosignal, and it is corresponding to obtain atrial wave respectively
First energy, corresponding second energy of ventricular complex third energy corresponding with myocardium wave；
According to first energy, the second energy and third energy measuring User Status.
Above-mentioned User Status detection method is believed by acquiring the initial electrocardiosignal of user using preset discrete wavelet
Number denoising is carried out to the initial electrocardiosignal, denoising electrocardiosignal is obtained, to identify the atrium in denoising electrocardiosignal
Wave, ventricular complex and myocardium wave, obtain corresponding first energy of atrial wave, corresponding second energy of ventricular complex and cardiac muscle respectively
The corresponding third energy of wave, detects above-mentioned user's state in which, allows User Status according to its ECG signal sampling, do not allow
Vulnerable to the interference of extraneous factor, accuracy with higher.
A kind of computer equipment, including memory, processor and be stored on the memory and can be in the processing
The computer program run on device, the processor realize the use that any of the above-described embodiment provides when executing the computer program
Family condition detection method.
A kind of computer storage medium, is stored thereon with computer program, which is characterized in that the program is executed by processor
The User Status detection method that any of the above-described embodiment of Shi Shixian provides.
User Status detection method according to the present invention, the present invention also provides a kind of computer equipments and computer storage to be situated between
Matter, for realizing above-mentioned User Status detection method by program.Above-mentioned computer equipment and computer storage medium can mention
The accuracy of high detection User Status.
Detailed description of the invention
Fig. 1 is the User Status detection system structure of one embodiment；
Fig. 2 is the denoising electrocardiosignal schematic diagram of one embodiment；
Fig. 3 is the sub-band decomposition schematic diagram of one embodiment；
Fig. 4 is the User Status detection method flow chart of one embodiment；
Fig. 5 is the computer system module map of one embodiment.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention more comprehensible, with reference to the accompanying drawings and embodiments, to this
Invention is described in further detail.It should be appreciated that the specific embodiments described herein are only used to explain the present invention,
And the scope of protection of the present invention is not limited.
It should be noted that term involved in the embodiment of the present invention " first second third " be only distinguish it is similar
Object does not represent the particular sorted for object, it is possible to understand that ground, " first second third " can be mutual in the case where permission
Change specific sequence or precedence.It should be understood that the object that " first second third " is distinguished in the appropriate case can be mutual
It changes, so that the embodiment of the present invention described herein can be real with the sequence other than those of illustrating or describing herein
It applies.
The term " includes " of the embodiment of the present invention and " having " and their any deformations, it is intended that cover non-exclusive
Include.Such as contain series of steps or module process, method, system, product or equipment be not limited to it is listed
Step or module, but optionally further comprising the step of not listing or module, or optionally further comprising for these processes, side
Method, product or equipment intrinsic other steps or module.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Referenced herein " multiple " refer to two or more."and/or", the association for describing affiliated partner are closed
System indicates may exist three kinds of relationships, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, individualism
These three situations of B.Character "/" typicallys represent the relationship that forward-backward correlation object is a kind of "or".
Refering to what is shown in Fig. 1, Fig. 1 is the User Status detection system structure of one embodiment, comprising:
Acquisition module 10, for acquiring the initial electrocardiosignal of user, using preset discrete wavelet signal to described first
Beginning electrocardiosignal carries out denoising, obtains denoising electrocardiosignal；
Above-mentioned initial electrocardiosignal can be the electrocardiosignal obtained from user by pertinent instruments at current time.It is discrete
Small echo signal can specifically be protected after can first choosing reconstruction signal for the small echo signal more than the energy that retains after reconstruction signal
Wave signal continuously is selected more than the energy stayed, continuously selects wave signal to carry out sliding-model control, really required discrete wavelet for above-mentioned
Signal.
Carrying out the process of denoising to the initial electrocardiosignal using preset discrete wavelet signal may include: root
Sub-band decomposition is carried out to the electrocardiosignal according to the discrete wavelet signal, is gone according to obtained multiple band signals determination is decomposed
It makes an uproar electrocardiosignal, such as the noise waves signal of higher frequency band can be determined as noise signal, by the power waves signal compared with low-frequency range
It is determined as denoising electrocardiosignal；The wave band coefficient that each band signal can also be obtained, by the wave band coefficient of each band signal
In the smallest wave band coefficient reject, determine denoising electrocardiosignal etc. according to the multiple band signals for rejecting wave band coefficient.
First identification module 20, for identifying atrial wave, ventricular complex and myocardium wave from the denoising electrocardiosignal, point
Not Huo Qu corresponding first energy of atrial wave, corresponding second energy of ventricular complex third energy corresponding with myocardium wave；
Denoising electrocardiosignal schematic diagram including atrial wave, ventricular complex and myocardium wave can be refering to what is shown in Fig. 2, such as Fig. 2
Shown, ventricle wave spike is higher than atrial wave and myocardium wave, and the ventricle sharp wave in denoising electrocardiosignal can be detected using threshold method,
By ventricle sharp wave as basic point waveform to denoising electrocardiosignal the right and left detect first wave of atrial wave and ventricular complex respectively
Paddy is denoted as Q wave；Atrial wave wave crest can be detected by basic point of Q wave, S wave is denoted as using second trough wave of ventricular complex and is examined as basic point
Thought-read flesh wave wave crest；For remaining wave band: atrial wave starting point Ps, atrial wave terminal Pe, myocardium wave starting point Ts, myocardium wave terminal Te
There is apparent turning in denoising electrocardiosignal, can accordingly be detected using Slope Method.
Above-mentioned first energy, the second energy and third energy are respectively provided with corresponding energy value and energy variation amplitude；On
The average energy value that energy value can be correspondent section energy is stated, above-mentioned energy variation amplitude can be in correspondent section energy, energy be most
Difference between big value and energy-minimum；The energy value and energy variation amplitude of each section of energy can be used for relative users state
Monitoring.
Detection module 30, for according to first energy, the second energy and third energy measuring User Status.
Above-mentioned detection module 30 can obtain energy value and variation from the first energy, the second energy and third energy respectively
The energy features parameter such as amplitude realizes that the User Status of user detects by analyzing above-mentioned energy feature parameter.Above-mentioned user's shape
State includes the state for the psychological pressure that user is born when the characterizations such as the state of mind acquire initial electrocardiosignal.Specifically, if on
State the state of mind that User Status is user, the energy value of electrocardiosignal characteristic wave (denoising electrocardiosignal corresponding waveform) compared with
It is small, but when amplitude of variation is larger, show the abnormal mental state of user；Electrocardiosignal characteristic wave energy value is larger, changes width
When spending lower, show that the state of mind of user is normal.
User Status detection system provided in this embodiment, by acquiring the initial electrocardiosignal of user, use is preset
Discrete wavelet signal carries out denoising to the initial electrocardiosignal, obtains denoising electrocardiosignal, with identification denoising electrocardio letter
Atrial wave, ventricular complex and myocardium wave in number, obtain corresponding first energy of atrial wave, ventricular complex corresponding second respectively
Energy third energy corresponding with myocardium wave, detects above-mentioned user's state in which, believes that User Status according to its electrocardio
Number detection, it is not easy to by the interference of extraneous factor, accuracy with higher.
In one embodiment, the detection module is further used for:
Corresponding first energy value of first energy and the first amplitude of variation are obtained respectively, and second energy is corresponding
Second energy value and the second amplitude of variation, the corresponding third energy value of the third energy and third amplitude of variation；
If first energy value is greater than the first amplitude threshold, the second energy less than the first energy threshold, the first amplitude of variation
For magnitude less than the second energy threshold, the second amplitude of variation is greater than the second amplitude threshold, and third energy value is less than third energy threshold,
And third amplitude of variation is greater than third amplitude threshold, then determines that the User Status is abnormal.
Above-mentioned first energy threshold, the first amplitude threshold, the second energy threshold, the second amplitude threshold, third energy threshold
It can be obtained respectively by handling a large amount of training samples with third amplitude threshold, such as according to each sample data pair in training sample
The User Status such as the state of mind answered determine cut off value (the first energy of the normal atrial wave energy value between exception of User Status
Threshold value) and atrial wave amplitude of variation cut off value (the first amplitude threshold)；According to the corresponding use of sample data each in training sample
Family state determines the cut off value (the second energy threshold) and ventricle wave of the normal ventricular complex energy value between exception of User Status
The cut off value (the second amplitude threshold) of group's amplitude of variation；It determines and uses according to the corresponding User Status of sample data each in training sample
The boundary of the cut off value (third energy threshold) and myocardium wave amplitude of variation of the normal wave energy magnitude myocardium between exception of family state
It is worth (third amplitude threshold).
The present embodiment can the abnormality to user accurately detected.
As one embodiment, above-mentioned User Status detection system, further includes:
Second identification module, for test user in obtain state it is normal when electrocardiosignal and abnormal state when
Electrocardiosignal is as training sample, the corresponding normal atrium of electrocardiosignal of identification characterization normal condition in the training sample
Wave, normal ventricle wave group and normal myocardium wave, the corresponding abnormal atrial wave of the electrocardiosignal of identification characterization abnormality, the abnormal heart
Room wave group and abnormal myocardium wave；
Determining module, for determining the first energy threshold and first respectively according to the normal atrium wave and abnormal atrial wave
Amplitude threshold determines the second energy threshold and the second amplitude threshold according to the normal ventricle wave group and abnormal atrial wave group respectively
Value determines third energy threshold and third amplitude threshold according to the normal myocardium wave and abnormal myocardium wave respectively.
Above-mentioned test user may include multiple users for having abnormal state experience (such as mental patient).Above-mentioned instruction
Practicing sample may include the electrocardiosignal acquired when test User Status is normal, and acquire when testing User Status exception
Electrocardiosignal；Training sample may include at least 100 electrocardiosignals, and each electrocardiosignal all has corresponding user's shape
State, atrial wave, ventricular complex and the myocardium wave of training sample center telecommunications number can indicate are as follows:
EPi={ EP1,EP2,…,EPj,…,EPk,
EQRSi={ EQRS1,EQRS2,…,EQRSj,…,EQRSk,
ETi={ ET1,ET2,…,ETj,…,ETk},
Wherein, EPiIndicate the atrial wave of i-th of electrocardiosignal, EPjIndicate jth (1≤j≤k) section atrial wave, EQRSiTable
Show the ventricular complex of i-th of electrocardiosignal, EQRSjIndicate jth section ventricular complex, ETiIndicate the myocardium wave of i-th of electrocardiosignal,
ETjIndicate jth section cardiac muscle wave.
The corresponding normal heart of electrocardiosignal of characterization normal condition can be identified from the electrocardiosignal of above-mentioned training sample
Fang Bo, normal ventricle wave group and normal myocardium wave, the electrocardiosignal of identification characterization abnormality corresponding abnormal atrial wave, exception
Ventricular complex and abnormal myocardium wave, carry out the first energy threshold, the first amplitude threshold, the second energy threshold, the second amplitude threshold,
The determination of third energy threshold and third amplitude threshold.It is alternatively possible to which the maximum energy value of abnormal atrial wave is determined as
The minimum change amplitude of abnormal atrial wave is determined as the first amplitude threshold, by the maximum of abnormal atrial wave group by one energy threshold
Energy value is determined as the second energy threshold, and the minimum change amplitude of abnormal atrial wave group is determined as the second amplitude threshold, will be different
Often the maximum energy value of cardiac muscle wave is determined as third energy threshold, and the minimum change amplitude of abnormal myocardium wave is determined as third width
Spend threshold value.
The present embodiment can be to the first energy threshold, the first amplitude threshold, the second energy threshold, the second amplitude threshold,
Three energy thresholds and third amplitude threshold are accurately determined, are further ensured that the accuracy of subsequent user state-detection.
In one embodiment, first identification module is further used for:
Region division is carried out to the denoising electrocardiosignal, determines several segments atrial wave, several segments ventricular complex and several
The myocardium wave of section；
Calculate the second energy of the corresponding signal area of the ventricular complex；
The corresponding several pairs of atrial wave starting points of atrial wave and atrial wave terminal are identified, according to each pair of atrial wave starting point and atrium
Energy determines the first energy between wave terminal；
The corresponding several pairs of myocardium wave starting points of myocardium wave and myocardium wave terminal are identified, according to each to myocardium wave starting point and cardiac muscle
Energy between wave terminal determines third energy.
Above-mentioned denoising electrocardiosignal can be divided into multiple regions, may exist several segments atrium in above-mentioned multiple regions
Wave, several segments ventricular complex and several segments cardiac muscle wave；If ventricular complex is multistage, it is right respectively to need to calculate each section of ventricular complex
The energy answered, to determine the second energy.Atrial wave starting point and atrial wave terminal occur in pairs, a pair of of atrial wave starting point and the heart
Include one section of atrial wave between room wave terminal, the can be determined according to the energy between each pair of atrial wave starting point and atrial wave terminal
One energy；Myocardium wave starting point and myocardium wave terminal occur in pairs, include between a pair of of cardiac muscle wave starting point and myocardium wave terminal
One section of myocardium wave can determine third energy according to each energy between myocardium wave starting point and myocardium wave terminal
First energy, the second energy determined by the present embodiment and third energy accuracy with higher.
In one embodiment, the User Status detection system further include:
Module is obtained, for obtaining the primary energy for continuously selecting wave signal, to continuously wave signal being selected to be reconstructed, acquisition connects
It is continuous to select the reconstruct energy after wave signal reconstruction；
Processing module will be described if the ratio between the reconstruct energy and primary energy is greater than fractional threshold
Continuously selecting wave signal processing is discrete wavelet signal.
Above-mentioned continuously to select the continuous signal that retain more energy after wave signal reconstruction signal, above-mentioned fractional threshold can be with
Denoising precision according to electrocardiosignal determines.Continuously selecting the expression formula of wave signal can be ψa,b(t), wave signal reconstruction is continuously selected
Energy afterwards can be | | XC| |, the continuous primary energy for selecting wave signal can be | | XO| |, settingIf V > Vmin
(VminIndicate fractional threshold), then can continuously to select wave signal processing be discrete wavelet signal by described, it is required discrete to preset
Small echo signal.
As one embodiment, the processing module is further used for:
Wavelet scale and waveform translational movement are set；
According to the wavelet scale and waveform translational movement to continuously wave signal being selected to carry out sliding-model control, discrete wavelet is obtained
Signal.
Above-mentioned wavelet scale a=2j, waveform translational movement b=a × k, j, k are respectively integer.
It, can be with high degree when discrete wavelet signal determined by the present embodiment carries out denoising to initial electrocardiosignal
Ground retains the energy in initial electrocardiosignal, to guarantee in subsequent user User Status detection process, used electrocardio letter
The validity of number related data.
In one embodiment, the acquisition module is further used for:
Sub-band decomposition is carried out to the electrocardiosignal using preset discrete wavelet signal, obtains the wave band letter of multiple frequency ranges
Number；
The wave band coefficient for obtaining each band signal picks wave band coefficient the smallest in the wave band coefficient of each band signal
It removes, determines denoising electrocardiosignal according to the multiple band signals for rejecting wave band coefficient.
To available low-frequency range power waves and high band noise waves after an electrocardiosignal sub-band decomposition of progress, low-frequency range
The high resolution of power waves is concentrated mainly on low-frequency range in high band noise waves, electrocardiosignal power spectrum, can be to electrocardiosignal
Low frequency signal after each discrete wavelet transformation repeatedly decompose until obtained low frequency signal meets corresponding low noise condition.
Discrete signal after selecting wave signal processing decomposes the high resolution of electrocardiosignal low-frequency range in high frequency section.
In electrocardiosignal the acquisition process of the wave band coefficient of certain band signal may include: calculate the band signal with it is discrete
The similarity of small echo signal decomposes to obtain wave band coefficient according to the similarity.Above-mentioned wave band coefficient may include low frequency coefficient
And high frequency coefficient, high frequency coefficient are small value coefficient, including high-frequency noise, can be removed it, and realize signal denoising.
As one embodiment, refering to what is shown in Fig. 3, it is above-mentioned using preset discrete wavelet signal to the electrocardiosignal into
Row sub-band decomposition, the process for obtaining the band signal of multiple frequency ranges may include:
Sub-band decomposition is carried out to the electrocardiosignal using preset discrete wavelet signal, obtains the first low frequency signal characterization
The first low-frequency range power waves and the first high-frequency signal characterization the first high band noise waves；
Sub-band decomposition is carried out to the first low-frequency range power waves using the discrete wavelet signal, obtains the second low frequency letter
Number characterization the second low-frequency range power waves and the second high-frequency signal characterization the second high band noise waves；
Sub-band decomposition is carried out to the second low-frequency range power waves using the discrete wavelet signal, obtains third low frequency letter
Number characterization third low-frequency range power waves and third high-frequency signal characterization third high band noise waves, according to the third low frequency
Section power waves and third high band noise waves determine the band signal of multiple frequency ranges.
Denoising electrocardiosignal determined by the present embodiment can include the power spectrum of initial electrocardiosignal as far as possible, guarantee
The validity of denoising electrocardiosignal.
As one embodiment, wave signal ψ is continuously selecteda,b(t), handling as discrete wavelet signal is ψj,k(t)=2-j/2ψ(2-jT-k), j, k are respectively integer, and the wavelet scale a of discrete wavelet signal represents different frequency ranges, each wave band letter of electrocardiosignal
Similarity WT (j, k) number with small echo are as follows:
Wherein, x (t) indicates electrocardiosignal.
Similarity WT (j, k) can decompose low frequency coefficient and high frequency coefficient.Signal decomposition process, j value is every to be increased once just
Second decomposition is carried out to signal low-frequency range, for 2 band signals obtained after second decomposition, similarity WT (j, k) value
Small is high-frequency noise section coefficient, and similarity WT (j, k) biggish is low frequency power wave band coefficient.
Specifically, high frequency section coefficient can be denoted as D1、D2、…、DN, N is the number of sub-band decomposition, sets global threshold
For γ as filtering processing boundary, retention factor is greater than the decomposed signal of γ, and decomposed signal coefficient of the coefficient less than γ is set 0 and filtered out,
It sets 0 number and is denoted as num_0, num_0 adds 1 when setting 0 every time.Using the coefficient reconstruction signal of reservation, reconstruct energy and original is calculated
Ratio V between energy, if V > Vmin, the increase of γ value, repetition global threshold γ filtering, if V < VminThen stop filtering,
Corresponding wavelet function selects wave signal as what initial electrocardiosignal denoised when can choose num_0 maximum, is preset with this discrete
Small echo signal.
The User Status detection method flow chart of one embodiment is shown with reference to Fig. 4, Fig. 4, comprising:
S10 acquires the initial electrocardiosignal of user, using preset discrete wavelet signal to the initial electrocardiosignal into
Row denoising obtains denoising electrocardiosignal；
S20 identifies atrial wave, ventricular complex and myocardium wave from the denoising electrocardiosignal, obtains atrial wave pair respectively
The first energy answered, corresponding second energy of ventricular complex third energy corresponding with myocardium wave；
S30, according to first energy, the second energy and third energy measuring User Status.
In one embodiment, described according to first energy, the second energy and third energy measuring User Status
Process includes:
Corresponding first energy value of first energy and the first amplitude of variation are obtained respectively, and second energy is corresponding
Second energy value and the second amplitude of variation, the corresponding third energy value of the third energy and third amplitude of variation；
If first energy value is greater than the first amplitude threshold, the second energy less than the first energy threshold, the first amplitude of variation
For magnitude less than the second energy threshold, the second amplitude of variation is greater than the second amplitude threshold, and third energy value is less than third energy threshold,
And third amplitude of variation is greater than third amplitude threshold, then determines that the User Status is abnormal.
It is described according to first energy, the second energy and third energy measuring User Status as one embodiment
Before process, further includes:
Test user in obtain state it is normal when electrocardiosignal and abnormal state when electrocardiosignal as training
Sample, the corresponding normal atrium wave of electrocardiosignal, the normal ventricle wave group of identification characterization normal condition in the training sample
With normal myocardium wave, the corresponding abnormal atrial wave of the electrocardiosignal of identification characterization abnormality, abnormal atrial wave group and the abnormal heart
Flesh wave；
The first energy threshold and the first amplitude threshold are determined respectively according to the normal atrium wave and abnormal atrial wave, according to
The normal ventricle wave group and abnormal atrial wave group determine the second energy threshold and the second amplitude threshold respectively, according to described normal
Myocardium wave and abnormal myocardium wave determine third energy threshold and third amplitude threshold respectively.
In one embodiment, described that atrial wave, ventricular complex and myocardium wave are identified from the denoising electrocardiosignal, point
Not Huo Qu corresponding first energy of atrial wave, the process of corresponding second energy of ventricular complex third energy corresponding with myocardium wave
Include:
Region division is carried out to the denoising electrocardiosignal, determines several segments atrial wave, several segments ventricular complex and several
The myocardium wave of section；
Calculate the second energy of the corresponding signal area of the ventricular complex；
The corresponding several pairs of atrial wave starting points of atrial wave and atrial wave terminal are identified, according to each pair of atrial wave starting point and atrium
Energy determines the first energy between wave terminal；
The corresponding several pairs of myocardium wave starting points of myocardium wave and myocardium wave terminal are identified, according to each to myocardium wave starting point and cardiac muscle
Energy between wave terminal determines third energy.
In one embodiment, the initial electrocardiosignal of the acquisition user, using preset discrete wavelet signal to institute
It states initial electrocardiosignal and carries out denoising, before obtaining the process of denoising electrocardiosignal, further includes:
The primary energy for continuously selecting wave signal is obtained, to continuously wave signal being selected to be reconstructed, obtains and continuously selects wave signal weight
Reconstruct energy after structure；
If the ratio between the reconstruct energy and primary energy is greater than fractional threshold, continuously selected described at wave signal
Reason is discrete wavelet signal.
As one embodiment, it is described continuously select wave signal processing be discrete wavelet signal process include:
Wavelet scale and waveform translational movement are set；
According to the wavelet scale and waveform translational movement to continuously wave signal being selected to carry out sliding-model control, discrete wavelet is obtained
Signal.
In one embodiment, described that the initial electrocardiosignal is carried out at denoising using preset discrete wavelet signal
Reason, the process for obtaining denoising electrocardiosignal include:
Sub-band decomposition is carried out to the electrocardiosignal using preset discrete wavelet signal, obtains the wave band letter of multiple frequency ranges
Number；
The wave band coefficient for obtaining each band signal picks wave band coefficient the smallest in the wave band coefficient of each band signal
It removes, determines denoising electrocardiosignal according to the multiple band signals for rejecting wave band coefficient.
Fig. 5 is the module map for being able to achieve a computer system 1000 of the embodiment of the present invention.The computer system 1000
An only example for being suitable for the invention computer environment is not construed as proposing appointing to use scope of the invention
What is limited.Computer system 1000 can not be construed to need to rely on or the illustrative computer system 1000 with diagram
In one or more components combination.
Computer system 1000 shown in Fig. 5 is the example for being suitable for computer system of the invention.Have
Other frameworks of different sub-systems configuration also can be used.Such as to have big well known desktop computer, notebook etc. similar
Equipment can be adapted for some embodiments of the present invention.But it is not limited to equipment enumerated above.
As shown in figure 5, computer system 1000 includes processor 1010, memory 1020 and system bus 1022.Including
Various system components including memory 1020 and processor 1010 are connected on system bus 1022.Processor 1010 is one
For executing the hardware of computer program instructions by arithmetic sum logical operation basic in computer system.Memory 1020
It is one for temporarily or permanently storing the physical equipment of calculation procedure or data (for example, program state information).System is total
Line 1020 can be any one in the bus structures of following several types, including memory bus or storage control, outer
If bus and local bus.Processor 1010 and memory 1020 can carry out data communication by system bus 1022.Wherein
Memory 1020 includes read-only memory (ROM) or flash memory (being all not shown in figure) and random access memory (RAM), RAM
Typically refer to the main memory for being loaded with operating system and application program.
Computer system 1000 further includes display interface 1030 (for example, graphics processing unit), display 1040 (example of equipment
Such as, liquid crystal display), audio interface 1050 (for example, sound card) and audio frequency apparatus 1060 (for example, loudspeaker).Show equipment
1040 can be used for the display of related electrocardiosignal and testing result.
Computer system 1000 generally comprises a storage equipment 1070.Storing equipment 1070 can from a variety of computers
It reads to select in medium, computer-readable medium refers to any available medium that can be accessed by computer system 1000,
Including mobile and fixed two media.For example, computer-readable medium includes but is not limited to, flash memory (miniature SD
Card), CD-ROM, digital versatile disc (DVD) or other optical disc storages, cassette, tape, disk storage or other magnetic storages are set
Any other medium that is standby, or can be used for storing information needed and can be accessed by computer system 1000.
Computer system 1000 further includes input unit 1080 and input interface 1090 (for example, I/O controller).User can
With by input unit 1080, such as the touch panel equipment in keyboard, mouse, display device 1040, input instruction and information are arrived
In computer system 1000.Input unit 1080 is usually connected on system bus 1022 by input interface 1090, but
It can also be connected by other interfaces or bus structures, such as universal serial bus (USB).
Computer system 1000 can carry out logical connection with one or more network equipment in a network environment.Network is set
It is standby to can be PC, server, router, tablet computer or other common network nodes.Computer system 1000 is logical
It crosses local area network (LAN) interface 1100 or mobile comm unit 1110 is connected with the network equipment.Local area network (LAN) refers to having
It limits in region, such as family, school, computer laboratory or the office building using the network media, interconnects the computer of composition
Network.WiFi and twisted pair wiring Ethernet are two kinds of technologies of most common building local area network.WiFi is a kind of to make to calculate
1000 swapping data of machine system or the technology that wireless network is connected to by radio wave.Mobile comm unit 1110 can be one
It answers and makes a phone call by radio communication diagram while movement in a wide geographic area.Other than call, move
Dynamic communication unit 1110 is also supported to carry out internet visit in 2G, 3G or the 4G cellular communication system for providing mobile data service
It asks.
It should be pointed out that other includes than the computer system of the more or fewer subsystems of computer system 1000
It can be suitably used for inventing.As detailed above, User Status detection can be executed by being suitable for the invention computer system 1000
The specified operation of method.Computer system 1000 runs software instruction in computer-readable medium by processor 1010
Form executes these operations.These software instructions can be from storage equipment 1070 or by lan interfaces 1100 from another
Equipment is read into memory 1020.The software instruction being stored in memory 1020 makes processor 1010 execute above-mentioned use
Family condition detection method.In addition, also can equally realize the present invention by hardware circuit or hardware circuit combination software instruction.Cause
This, realizes that the present invention is not limited to the combinations of any specific hardware circuit and software.
User Status detection method of the invention and User Status detection system of the invention correspond, in above-mentioned user
Technical characteristic and its advantages that the embodiment of condition detecting system illustrates are suitable for the implementation of User Status detection method
In example.
Based on example as described above, a kind of computer equipment is also provided in one embodiment, the computer equipment packet
The computer program that includes memory, processor and storage on a memory and can run on a processor, wherein processor executes
It realizes when described program such as any one User Status detection method in the various embodiments described above.
It is quasi- to realize user's state of mind by the computer program run on the processor for above-mentioned computer equipment
The promotion of true property.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, it is non-volatile computer-readable that the program can be stored in one
It takes in storage medium, in the embodiment of the present invention, which be can be stored in the storage medium of computer system, and by the calculating
At least one processor in machine system executes, and includes the process such as the embodiment of above-mentioned User Status detection method with realization.
Wherein, the storage medium can be magnetic disk, CD, read-only memory (Read-Only Memory, ROM) or deposit at random
Store up memory body (Random Access Memory, RAM) etc..
Accordingly, a kind of computer storage medium is also provided in one embodiment, is stored thereon with computer program,
In, it realizes when which is executed by processor such as any one User Status detection method in the various embodiments described above.
Above-mentioned computer storage medium is able to use the family state of mind according to its heart by the computer program that it is stored
Electrical signal detection, it is not easy to by the interference of extraneous factor, accuracy with higher.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention
Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (10)
1. a kind of User Status detection system characterized by comprising
Acquisition module, for acquiring the initial electrocardiosignal of user, using preset discrete wavelet signal to the initial electrocardio
Signal carries out denoising, obtains denoising electrocardiosignal；
First identification module obtains respectively for identifying atrial wave, ventricular complex and myocardium wave from the denoising electrocardiosignal
Corresponding first energy of atrial wave, corresponding second energy of ventricular complex third energy corresponding with myocardium wave；
Detection module, for according to first energy, the second energy and third energy measuring User Status.
2. User Status detection system according to claim 1, which is characterized in that the detection module is further used for:
Corresponding first energy value of first energy and the first amplitude of variation, second energy corresponding second are obtained respectively
Energy value and the second amplitude of variation, the corresponding third energy value of the third energy and third amplitude of variation；
If first energy value is greater than the first amplitude threshold, the second energy value less than the first energy threshold, the first amplitude of variation
Less than the second energy threshold, the second amplitude of variation is greater than the second amplitude threshold, and third energy value is less than third energy threshold, and
Third amplitude of variation is greater than third amplitude threshold, then determines that the User Status is abnormal.
3. User Status detection system according to claim 2, which is characterized in that further include:
Second identification module, for test user in obtain state it is normal when electrocardiosignal and abnormal state when electrocardio
Signal as training sample, in the training sample the corresponding normal atrium wave of electrocardiosignal of identification characterization normal condition,
Normal ventricle wave group and normal myocardium wave, the electrocardiosignal of identification characterization abnormality corresponding abnormal atrial wave, abnormal atrial
Wave group and abnormal myocardium wave；
Determining module, for determining the first energy threshold and the first amplitude respectively according to the normal atrium wave and abnormal atrial wave
Threshold value determines the second energy threshold and the second amplitude threshold, root according to the normal ventricle wave group and abnormal atrial wave group respectively
Third energy threshold and third amplitude threshold are determined respectively according to the normal myocardium wave and abnormal myocardium wave.
4. User Status detection system according to claim 1, which is characterized in that first identification module is further used
In:
Region division is carried out to the denoising electrocardiosignal, determines several segments atrial wave, several segments ventricular complex and the several segments heart
Flesh wave；
Calculate the second energy of the corresponding signal area of the ventricular complex；
Identify the corresponding several pairs of atrial wave starting points of atrial wave and atrial wave terminal, it is whole according to each pair of atrial wave starting point and atrial wave
Energy determines the first energy between point；
The corresponding several pairs of myocardium wave starting points of myocardium wave and myocardium wave terminal are identified, according to each whole to myocardium wave starting point and myocardium wave
Energy between point determines third energy.
5. User Status detection system according to any one of claims 1 to 4, which is characterized in that further include:
Module is obtained, for obtaining the primary energy for continuously selecting wave signal, to continuously wave signal being selected to be reconstructed, obtains continuous choosing
Reconstruct energy after wave signal reconstruction；
Processing module will be described continuous if the ratio between the reconstruct energy and primary energy is greater than fractional threshold
Selecting wave signal processing is discrete wavelet signal.
6. User Status detection system according to claim 5, which is characterized in that the processing module is further used for:
Wavelet scale and waveform translational movement are set；
According to the wavelet scale and waveform translational movement to continuously wave signal being selected to carry out sliding-model control, discrete wavelet letter is obtained
Number.
7. User Status detection system according to any one of claims 1 to 4, which is characterized in that the acquisition module into
One step is used for:
Sub-band decomposition is carried out to the electrocardiosignal using preset discrete wavelet signal, obtains the band signal of multiple frequency ranges；
The wave band coefficient for obtaining each band signal rejects wave band coefficient the smallest in the wave band coefficient of each band signal,
Denoising electrocardiosignal is determined according to the multiple band signals for rejecting wave band coefficient.
8. a kind of User Status detection method characterized by comprising
The initial electrocardiosignal for acquiring user, carries out at denoising the initial electrocardiosignal using preset discrete wavelet signal
Reason obtains denoising electrocardiosignal；
Atrial wave, ventricular complex and myocardium wave are identified from the denoising electrocardiosignal, obtain atrial wave corresponding first respectively
Energy, corresponding second energy of ventricular complex third energy corresponding with myocardium wave；
According to first energy, the second energy and third energy measuring User Status.
9. a kind of computer equipment, including memory, processor and it is stored on the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor is realized when executing the computer program such as claim 8 institute
The User Status detection method stated.
10. a kind of computer storage medium, is stored thereon with computer program, which is characterized in that the program is executed by processor
Shi Shixian User Status detection method as claimed in claim 8.
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