CN107224284A - Noise detection method and system for all-digital electrocardiosignal - Google Patents
Noise detection method and system for all-digital electrocardiosignal Download PDFInfo
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7285—Specific aspects of physiological measurement analysis for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal
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Abstract
The invention relates to the technical field of biomedical engineering, and particularly discloses a noise detection method and system of an all-digital electrocardiosignal. The noise detection method positions a electrocardiosignal comprehensive wave and obtains a starting point and an end point of the electrocardiosignal comprehensive wave, then eliminates a QRS wave, obtains a baseline value of the heartbeat, is used for detecting the interference condition of the baseline noise, and simultaneously performs filtering processing on the signal after the QRS wave is eliminated to detect power frequency noise and myoelectric noise. According to the invention, the on-off of the filter is controlled according to the difference of the noise in the acquisition process, so that the influence of the filter on signals is reduced; meanwhile, acquisition command control is carried out according to the noise, automatic acquisition of electrocardiosignals is realized, and manual intervention is reduced.
Description
Technical field
The present invention relates to biomedical engineering technology field, more particularly to a kind of digital electrocardiosignal
Noise detecting method and system.
Background technology
Electrocardiosignal is during collection, inevitably comprising many noises, and main has following
Three kinds：Baseline interference noise, industrial frequency noise and myoelectricity noise.These noises to the automatic diagnosis of computer or
It is that Artificial Diagnosis can bring interference, even can causes the conclusion of mistake when serious.Therefore adopting in signal
Concentrate, noise remove algorithm is often added, generally using the method for filtering.But because noise and electrocardio are believed
Number frequency have a range of superposition in itself, inevitably to useful while noise is filtered out
Electrocardiosignal produces influence.
Meanwhile, in the gatherer process of electrocardiosignal, noise remove algorithm is even added sometimes,
Because noise jamming is larger, the electrocardiosignal of collection can not also be analyzed as actually useful signal, special
Be not for the personnel lacked experience, due to when the concept of " noise is small " more obscure,
Repeated, meaningless task may be done in the collection of signal.
The content of the invention
Being eliminated for noise can influence that asking for noise size can not be reflected when electrocardiosignal and signal acquisition in time
Topic, the present invention provides a kind of digital electrocardiosignal noise detecting method, realize ecg signal acquiring or
Noise measuring during analysis.
The technical solution adopted in the present invention is：A kind of noise detecting method of digital electrocardiosignal is provided,
Comprise the following steps：
Digital electrocardiosignal is obtained after S100, the analog electrocardiogram signal conversion of collection；
QRS wave in S200, the detection digital electrocardiosignal, carries out QRS wave by testing result and rises
The calculating of initial point and terminating point, carries out QRS wave composition elimination, and obtain current baseline value；
S300, do high-pass filtering processing to eliminating the signal after QRS wave, and carry out industrial frequency noise inspection respectively
Survey and myoelectricity noise measuring.
In the noise detecting method for the digital electrocardiosignal that the present invention is provided, the step S200 is also wrapped
Include following steps：
S201, the digital electrocardiosignal carry out signal delay process and obtain time delayed signal respectively, examine simultaneously
The QRS wave surveyed in the digital electrocardiosignal；
S202, will detect QRS wave result carry out QRS wave starting point and ending point calculating, to institute
State time delayed signal and carry out QRS wave composition elimination；
S203, the result of calculation according to the time delayed signal and QRS wave starting point and ending point, obtain and work as
Preceding baseline value.
In the noise detecting method for the digital electrocardiosignal that the present invention is provided, in the step S202
Step " carries out the elimination of QRS wave composition " to the time delayed signal, specifically includes：Starting to QRS wave
Point is eliminated to terminating point part using interpolation method, shown in such as formula (1)：
Wherein xoffAnd xonTerminating point and the signal value of starting point, x are represented respectivelyoffAnd xonTerminating point is represented respectively
With the time value of starting point, ynAnd xnExpression is currently needed for the signal value and time value of interpolation respectively.
In the noise detecting method for the digital electrocardiosignal that the present invention is provided, in the step S203
The current baseline value is used for the disturbed condition for detecting baseline noise.
It is high in the step S300 in the noise detecting method for the digital electrocardiosignal that the present invention is provided
The effect of pass filter processing is to filter out low-frequency component, and the low-frequency component includes baseline, P ripples and T ripples；
Carry out after high-pass filtering processing, be handled as follows respectively：
Industrial frequency noise testing result is exported after S301, progress industrial frequency noise Interference Detection；
Result is subjected to myoelectricity noise measuring after S302, progress power frequency filtering, and exports myoelectricity noise measuring
As a result.
In the noise detecting method for the digital electrocardiosignal that the present invention is provided, in the step S302,
The power frequency filtering is carried out by the way of based on pole zero cancellation, work frequency therein is 60Hz, is adopted
Sample rate is 500Hz, shown in the transfer function used such as formula (2)：
Present invention also offers a kind of noise detection system of digital electrocardiosignal, including：
Detect the QRS wave in QRS wave module, the digital electrocardiosignal of detection；
Computing module, according to it is described detection QRS wave module testing result carry out QRS wave starting point and
The calculating of terminating point, result is given respectively elimination QRS wave module and baseline value module；Eliminate QRS
Ripple module, eliminates the QRS wave in digital electrocardiosignal；Baseline value module, obtains current baseline value；
High-pass filtering module, gives result industrial frequency noise detection module and work respectively after carrying out high-pass filtering
Frequency filtration module；
Industrial frequency noise detection module, carries out exporting industrial frequency noise testing result after industrial frequency noise Interference Detection；
Power frequency filtration module, myoelectricity noise detection module output myoelectricity is given after progress power frequency filtering by result
Noise measuring result.
In the noise detection system for the digital electrocardiosignal that the present invention is provided, in addition to：
Signal time delay module, carries out signal delay；QRS wave module is eliminated, is received by signal time delay module
With the information of computing module, the QRS wave in digital electrocardiosignal is eliminated；Baseline value module, is received by believing
The information of number time delay module and computing module, obtains current baseline value.
In the noise detection system for the digital electrocardiosignal that the present invention is provided, in addition to：
Baseline interference detection module, the current baseline value exported according to the baseline value module is carried out
Baseline interference is detected, and exports baseline interference testing result.
In the noise detection system for the digital electrocardiosignal that the present invention is provided, according to the industrial frequency noise
Testing result, myoelectricity noise measuring result, baseline interference testing result, the switch of control wave filter, and/
Or order control is acquired, realize the automatic data collection of electrocardiosignal.
Compared with prior art, the beneficial effects of the invention are as follows：According to noise size in gatherer process
Difference, controls the switch of wave filter, reduces the influence due to wave filter to signal；It is simultaneously big according to noise
It is small to be acquired order control, the automatic data collection of electrocardiosignal is realized, manual intervention is reduced.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to reality
The accompanying drawing used required for applying in example or description of the prior art is briefly described.It should be evident that below
Accompanying drawing in description is only some embodiments of the present invention, for those skilled in the art, in nothing
On the premise of creative work need to being paid, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is the general frame of the noise detection system of digital electrocardiosignal of the invention；
Fig. 2 is QRS wave shape overhaul flow chart；
Fig. 3 is that QRS wave is offseted and high-pass filtering result；
Fig. 4 is the amplitude-frequency response of high-pass filtering；
Fig. 5 is industrial frequency noise detection detailed design figure；
Fig. 6 is the amplitude-frequency response of LPF；
Fig. 7 is sinusoidal signal generator schematic diagram；
Fig. 8 is power frequency filtering amplitude-frequency response；
Fig. 9 is myoelectricity noise measuring detailed design figure；
Figure 10 is baseline interference detection detailed design figure.
Embodiment
Below in conjunction with embodiment, the technical scheme in the embodiment of the present invention is clearly and completely retouched
State.
The main innovation point of the present invention be there is provided a kind of noise detecting method of digital electrocardiosignal and
System, positions to electrocardiosignal complex wave and obtains its starting point and ending point, then eliminate QRS wave,
The baseline value of the heartbeat is obtained simultaneously, and the baseline value is used for the disturbed condition for detecting baseline noise, while right
Eliminate the signal after QRS wave and do filtering process, carry out the detection of industrial frequency noise and myoelectricity noise.
In embodiments of the invention and accompanying drawing, Frequency represents frequency, unit Hz；Magnitude tables
Show amplitude, unit dB, i.e. decibel.
The present invention will be further described below in conjunction with the accompanying drawings.Fig. 1 shows digital electrocardio letter of the invention
Number noise detection system the general frame, as shown in figure 1, collection analog electrocardiogram signal pass through " analog "
Digital electrocardiosignal (being the ECG signal 9 in Fig. 1) is obtained after conversion, signal 9 respectively enters signal
Time delay module 10 (signal delay) and detection QRS wave module 12 (detection QRS wave), signal delay mould
Block 10 ensures that the signal of later process is synchronous, and detects that the detection of the progress QRS wave of QRS wave module 12 is right
Computing module 14 (calculating QRS wave starting point and ending point) is given by result carry out QRS wave starting afterwards
Point and terminating point calculating, by result respectively give elimination QRS wave module 20 (elimination QRS wave) and
Baseline value module 22 (acquisition current baseline value).Baseline value module 22 is received by the He of signal time delay module 10
The acquisition of information current baseline value of computing module 14, (the baseline of baseline interference detection module 44 is given by result
Interference Detection) output baseline interference testing result 54.Elimination QRS wave module 20 is received to be delayed by signal
The information of module 10 and computing module 14, the QRS wave composition in original ECG signal is eliminated, so
After give high-pass filtering module 30 (high-pass filtering), high-pass filtering module 30 is carried out will knot after high-pass filtering
Fruit gives industrial frequency noise detection module 40 (industrial frequency noise detection) and (power frequency of power frequency filtration module 32 respectively
Filtering), industrial frequency noise detection module 40 carries out output industrial frequency noise detection knot after industrial frequency noise Interference Detection
Really 50；Result is given the (flesh of myoelectricity noise detection module 42 by power frequency filtration module 32 after carrying out power frequency filtering
Electrical noise is detected) output myoelectricity noise measuring result 52.
Fig. 2 is detects the flow chart of QRS wave module 12, using Pan method ([1] Pan J, Tompkins
W J.A real-time QRS detection algorithm[J].Biomedical Engineering,IEEE
Transactions on,1985(3):230-236), after being filtered to electrocardiosignal, successively carry out difference,
Quadratic sum rolling average is handled, and finally finds peak value, and find to be compared with threshold value after peak value is to judge
It is no to find QRS wave and update threshold value, while giving computing module 14 by result 13 calculates rising for QRS wave
Initial point and terminating point, obtain result 15.
Fig. 3 is that to eliminate QRS wave module 20 and high-pass filtering module 30 be to signal 11 using information 15
The result of processing.A is the electro-cardiologic signal waveforms by noise jamming in figure, and b is elimination QRS wave mould
The result of the processing of block 20, the starting point to QRS wave is eliminated to terminating point part using interpolation method, is adopted
Avoided bringing noise measuring below influence with the method for linear interpolation, shown in such as formula (1).
Wherein xoffAnd xonTerminating point and the signal value of starting point, x are represented respectivelyoffAnd xonTerminating point is represented respectively
With the time value of starting point, ynAnd xnExpression is currently needed for the signal value and time value of interpolation respectively.
Fig. 4 is the amplitude response of high-pass filter, and the main function of high-pass filter is to filter out baseline, P ripples
With the low-frequency component such as T ripples, device design is filtered using the IIR of Chebyshev's II types；C is in Fig. 3
The result of high-pass filtering.
After high-pass filtering, signal 31 enters the detection that industrial frequency noise detection module 40 carries out industrial frequency noise.
Fig. 5 is the detailed design figure of industrial frequency noise detection module 40, the sinusoidal signal of industrial frequency noise detection module 402
Generator, sends 50/60Hz sine and the cosine signal (signal that sinusoidal signal generator is sent respectively
Frequency is consistent with the power frequency component of ECG signal 9), wherein signal 400 is cosine signal, signal 401
For sinusoidal signal.Signal 31 is done after product respectively by LPF with signal 400 and signal 401 respectively
Device 403 and low pass filter 404, two wave filters use identical design method, are that cut-off frequency is
0.2 IIR (Infinite Impulse Response, IIR) low pass filter, its amplitude-frequency rings
Should be as shown in Figure 6.After LPF, signal respectively enters industrial frequency noise detection module 405 and power frequency is made an uproar
Sound detection module 406 carry out square after summed, by result be sent to industrial frequency noise detection module 407 and
Threshold value is compared, and comparative result is sent into industrial frequency noise detection module 408 (industrial frequency noise state), if
Summing value is more than threshold value, then industrial frequency noise detection module 408 is output as industrial frequency noise presence, otherwise defeated
Go out and be not present for industrial frequency noise.
Fig. 7 is the way of realization of the sinusoidal signal generator of industrial frequency noise detection module 402, using a class
Like IIR method, module 450, module 456 and module 458 are constant factor, represent input signal warp
Cross after module can be with exporting after module multiplication；Module 452 and module 454 represent that signal is delayed one
Unit.
Fig. 8 is the amplitude-frequency response figure of power frequency filtration module 32, is designed by the way of based on pole zero cancellation
Frequency filter, work frequency therein is 60Hz, and sample rate is 500Hz, the transfer function of wave filter
As shown in formula (2).
After signal 31 is filtered through the power frequency of power frequency filtration module 32, consequential signal 33 is sent to the inspection of myoelectricity noise
Survey module 42 and carry out myoelectricity noise measuring.Fig. 9 is the detailed design figure of myoelectricity noise detection module 42.
Input signal 33 first passes around myoelectricity noise detection module 420 and carries out signed magnitude arithmetic(al), then by result 460
It is sent to myoelectricity noise detection module 421 and carries out sample delay operation, the sample of myoelectricity noise detection module 421
This delay length is 50ms and output result 461, and signal 461 and 460 enters myoelectricity noise detection module
422 carry out sum operation output result 462, and signal 462 and 463 enters myoelectricity noise detection module 423
Output result 464 after sum operation is carried out, wherein signal 463 is that signal 464 entered the inspection of delay myoelectricity noise
Survey module 424 and carry out the result after a sampled point delay.Signal 464 enters myoelectricity noise detection module
425 are compared with given threshold, and myoelectricity noise detection module 426, myoelectricity noise measuring are given by result
Module 426 is according to the last myoelectricity noise states 52 of the output of myoelectricity noise detection module 425, if signal
464 are more than threshold value, then state 52 exists for myoelectricity noise, is otherwise not present for myoelectricity noise.
Figure 10 is the detailed design figure of baseline interference detection module 44.Obtained currently in baseline value module 22
After baseline value signal 35, result is sent to baseline interference detection module 440, baseline interference detection module 440
Judge whether zero potential initializes completion, if not initialized, into baseline interference detection module 442
The initialization of zero potential is carried out, result is then sent to baseline interference detection module 445, baseline interference detection
Zero potential init state is set to very so that next time enters by module 442 after zero potential initialization is carried out
The result for entering baseline interference detection module 440 is judged as very；If initialized complete, into baseline
Interference detection module 441, takes absolute value after current baseline value is made the difference with zero potential, then by result and threshold
Value compares, if less than threshold value, entering baseline interference detection module 444 and carrying out zero potential renewal, then
Result is sent to baseline interference detection module 445, if the comparative result of baseline interference detection module 443 is more than threshold
Value, is directly sent to baseline interference detection module 445 by result.Baseline interference detection module 445 is according to input
Signal carry out baseline interference state judgement and output result 54, if by baseline interference detection module 442
Or baseline interference detection module 444 input result, then state 54 be not present for baseline interference；If by base
Line interference detection module 443 directly inputs baseline interference detection module 445 after relatively, then state 54 is
Baseline interference is present.
The present invention digital electrocardiosignal noise detection system, according to industrial frequency noise testing result (50),
Myoelectricity noise measuring result (52), baseline interference testing result (54), i.e., according to basis in gatherer process
The difference of noise size, controls the switch of wave filter, reduces the influence due to wave filter to signal；Simultaneously
Order control is acquired according to noise size, the automatic data collection of electrocardiosignal is realized, manual intervention is reduced.
Specified otherwise is needed, above technical scheme is merely to illustrate the present invention rather than limits this hair
Bright scope.In addition, after present disclosure has been read, those skilled in the art can be to this hair
It is bright to make change or change, the model that these equivalent form of values are equally limited in the application appended claims
Within enclosing.
Claims (10)
1. a kind of noise detecting method of digital electrocardiosignal, it is characterised in that comprise the following steps：
Digital electrocardiosignal is obtained after S100, the analog electrocardiogram signal conversion of collection；
QRS wave in S200, the detection digital electrocardiosignal, carries out QRS wave by testing result and rises
The calculating of initial point and terminating point, carries out QRS wave composition elimination, and obtain current baseline value；
S300, do high-pass filtering processing to eliminating the signal after QRS wave, and carry out industrial frequency noise inspection respectively
Survey and myoelectricity noise measuring.
2. noise detecting method according to claim 1, it is characterised in that the step S200
Also comprise the following steps：
S201, the digital electrocardiosignal carry out signal delay process and obtain time delayed signal respectively, examine simultaneously
The QRS wave surveyed in the digital electrocardiosignal；
S202, will detect QRS wave result carry out QRS wave starting point and ending point calculating, to institute
State time delayed signal and carry out QRS wave composition elimination；
S203, the result of calculation according to the time delayed signal and QRS wave starting point and ending point, obtain and work as
Preceding baseline value.
3. noise detecting method according to claim 2, it is characterised in that the step S202
In step " QRS wave composition elimination is carried out to the time delayed signal ", specifically include：To QRS wave
Starting point is eliminated to terminating point part using interpolation method, shown in such as formula (1)：
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Wherein xoffAnd xonTerminating point and the signal value of starting point, x are represented respectivelyoffAnd xonTerminating point is represented respectively
With the time value of starting point, ynAnd xnExpression is currently needed for the signal value and time value of interpolation respectively.
4. noise detecting method according to claim 2, it is characterised in that the step S203
In the current baseline value be used to detect the disturbed condition of baseline noise.
5. noise detecting method according to claim 1, it is characterised in that the step S300
The effect of middle high-pass filtering processing is to filter out low-frequency component, and the low-frequency component includes baseline, P ripples and T
Ripple；Carry out after high-pass filtering processing, be handled as follows respectively：
Industrial frequency noise testing result is exported after S301, progress industrial frequency noise Interference Detection；
Result is subjected to myoelectricity noise measuring after S302, progress power frequency filtering, and exports myoelectricity noise measuring
As a result.
6. noise detecting method according to claim 1, it is characterised in that the step S302
In, the power frequency filtering is carried out by the way of based on pole zero cancellation, work frequency therein is 60Hz,
Sample rate is 500Hz, shown in the transfer function used such as formula (2)：
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7. a kind of noise detection system of digital electrocardiosignal, it is characterised in that including：
Detect the QRS wave in QRS wave module (12), the digital electrocardiosignal of detection；
Computing module (14), QRS is carried out according to the testing result of the detection QRS wave module (12)
The calculating of ripple starting point and ending point, result is given respectively elimination QRS wave module (20) and baseline value
Module (22)；QRS wave module (20) is eliminated, the QRS wave in digital electrocardiosignal is eliminated；Baseline value
Module (22), obtains current baseline value；
High-pass filtering module (30), gives result industrial frequency noise detection module respectively after carrying out high-pass filtering
And power frequency filtration module (32) (40)；
Industrial frequency noise detection module (40), carries out output industrial frequency noise detection knot after industrial frequency noise Interference Detection
Really (50)；
Power frequency filtration module (32), myoelectricity noise detection module (42) is given after carrying out power frequency filtering by result
Export myoelectricity noise measuring result (52).
8. noise detection system according to claim 7, it is characterised in that also include：
Signal time delay module (10), carries out signal delay；QRS wave module (20) is eliminated, is received by believing
The information of number time delay module (10) and computing module (14), eliminates the QRS wave in digital electrocardiosignal；
Baseline value module (22), receives the information by signal time delay module (10) and computing module (14), obtains
Take current baseline value.
9. noise detection system according to claim 1, it is characterised in that also include：
Baseline interference detection module (44), the current base exported according to the baseline value module (22)
Line value, carries out baseline interference detection, and export baseline interference testing result (54).
10. noise detection system according to claim 9, it is characterised in that according to the power frequency
Noise measuring result (50), myoelectricity noise measuring result (52), baseline interference testing result (54), control
The switch of wave filter processed, and/or order control is acquired, realize the automatic data collection of electrocardiosignal.
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Cited By (5)
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| CN109620181A (en) * | 2019-01-16 | 2019-04-16 | 贝骨新材料科技（上海）有限公司 | A kind of method and nursing type custodial care facility of heart rate and heart rate variability monitoring |
| CN113303813A (en) * | 2021-05-12 | 2021-08-27 | 西安电子科技大学 | Lightweight electrocardiosignal noise removal and QRS waveform detection method |
| CN115040136A (en) * | 2022-06-10 | 2022-09-13 | 广东粤港澳大湾区国家纳米科技创新研究院 | Electrocardiosignal baseline noise detection method and system |
| CN118285808A (en) * | 2024-03-06 | 2024-07-05 | 深圳华清心仪医疗电子有限公司 | Electrocardiosignal real-time noise detection method and device |
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