CN101933803B - Cardiac mapping signal analyzing and processing device and method - Google Patents
Cardiac mapping signal analyzing and processing device and method Download PDFInfo
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- CN101933803B CN101933803B CN2010102576370A CN201010257637A CN101933803B CN 101933803 B CN101933803 B CN 101933803B CN 2010102576370 A CN2010102576370 A CN 2010102576370A CN 201010257637 A CN201010257637 A CN 201010257637A CN 101933803 B CN101933803 B CN 101933803B
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Abstract
The invention provides a cardiac mapping signal analyzing and processing device and method, in particular to a device and method for analyzing the rhythm state of cardiac mapping signals. The device of the invention comprises a mapping electrode, a multistage amplifier, a data acquisition card, an acquisition module, a signal analyzing and processing unit and an output device. The method of the invention is based on the autocorrelation function and is characterized in that the time interval between the maximum peak and the second submaximum peak in the autocorrelation function sequence is used to estimate the main rhythm activation time interval of the signal, and the amplitude value of the submaximum peak is used as an index for measuring the regularity of the signal. The method of the invention can be used for the site analysis of the electrical activity of the heart in animal experiments and can also be used to assist the clinical diagnosis. As the system adopts the integrated acquisition and analysis structure and the method of the device is simple and effective, the device is characterized by wide application range and high real-time.
Description
Technical field
The present invention relates to biomedicine signals APU and method, relate in particular to a kind of analysis of cardiac mark that is used for and survey the signal analysis and processing devices and methods therefor.
Background technology
Cardiac mapping is meant from cardiac electrical activity and sets about, to arrhythmia discern, judgement and location process.The common way of cardiac mapping is: at first, the area-of-interest on the heart is divided into tiny site, in each site, lays mark and survey electrode or injecting voltage fluorescent dye sensitive, and confirm the physical location in each site; Secondly, write down the potential change that myocardial cell crowd excitement causes under each site; At last; Survey signal in the variation during the arrhythmia and association between them and difference through each site mark in the observation contrast area-of-interest; Researcher can carefully in depth be understood ARR electrophysiological mechanism, therefrom seek with ARR triggering with keep the key factor that closely links to each other.And then the doctor can select suitable treatment means and strategy to these key factors.On the other hand, in order cardiac electrical activity to be carried out more comprehensive, finer observation, the development of cardiac mapping technology at present presents the trend of mark location point " big quantity, high accuracy ".In nearest research, the order of magnitude of mark location point is generally more than 100.This certainly will bring the cardiac mapping data of magnanimity.Therefore, the data analysis blood processor that design is relevant, research valid data analytical method in the hope of from mass data, extracting key message, just become an important topic of cardiac mapping technology.
In addition, rhythm analysis is present emerging a kind of cardiac mapping signal analysis direction, is intended to study the state that mark is surveyed the rhythmicity that the corresponding myocardial cell crowd of signal institute participates in cardiac electrical activity (also i.e. periodicity).Among the result of rhythm analysis, most critical be excited interval (or frequency) and two attributes of signal alignment degree of predominant rhythm.What the former reflected is that myocardial cell crowd maximum of probability ground is participated in cardiac electrical activity with which rhythm and pace of moving things; What the latter was reflected is the influence whether the myocardial cell crowd receives the excited granting of a plurality of cardiac muscles source.Under normal circumstances, sinuatrial node is the position of unique granting electrostimulation in the heart, and the process of all myocardial cell participation electrical activities all receives its domination in the heart.At this moment, the cardiac mapping signal only reflects single sinus rhythm.But when some arrhythmia takes place, the excited source of one or more dystopys possibly appear in the heart.Electrostimulation also can be provided in the excited source of dystopy, and its excited frequency ratio hole sexual excitation is high significantly.At this moment, sinus rhythm and ectopic rhythm combined effect cause the myocardial cell excitement to present disturbance state on heart.This state can be embodied in the cardiac mapping signal equally.Therefore, doctor or researcher can be surveyed signal from mark and start with, and through the method for rhythm analysis, find out and locate the dystopy that exists in the heart during the arrhythmia and drive, thereby target is provided for further treatment.
Existing rhythm analysis method is many to be the basis with the Fourier transformation, calculates the power spectrum that mark is surveyed signal, and with the peak-peak in the power spectrum as result of calculation.But because Fourier transformation can produce a large amount of harmonic components, these harmonic waves might cause the erroneous judgement of analysis result; On the other hand, the cardiac mapping signal itself is comprising the frequency content of various complicacies, and these compositions also can cause the skew of power spectrum maximum peak, thus the impact analysis effect.Practical application also shows, based on the rhythm analysis method of Fourier transformation only to a little less than the rhythmicity, the cardiac mapping signal of complicated irregularity has good effect; But the cardiac mapping signal strong to rhythmicity, result of calculation and truth often have a tremendous difference.
Summary of the invention
In order to solve the problem that exists in the above-mentioned prior art, the object of the invention is to provide a kind of cardiac mapping signal analysis and processing apparatus and method, and particularly a kind of analysis of cardiac mark is surveyed the devices and methods therefor of signal rhythm and pace of moving things state.
Characteristics of the present invention are: data collection and analysis is integrated, and is widely applicable, real-time.The present invention can be used for the field assay of zoopery to the dirty electrical activity of mark thought-read; Also can be used to assist clinical diagnosis.
The cardiac mapping signal analysis and processing device that the present invention proposes; Surveying electrode 1, multistage amplifier 2, data collecting card 3, acquisition module 4, signal analysis and processing unit 5 and output display device 11 by mark forms; Mark is surveyed electrode 1, multistage amplifier 2, data collecting card 3, acquisition module 4 and signal analysis and processing unit 5 and is connected successively; The outfan of acquisition module 4 and signal analysis and processing unit 5 is connected output display device 11 respectively, wherein:
Mark is surveyed electrode 1, is used to be placed in the area-of-interest on the heart;
Signal analysis and processing unit 5 carries out analyzing and processing to the electrocardiographicassignment assignment test data;
Among the present invention; Said signal analysis and processing unit 5 is made up of pre-processing module 6, exciting extraction module 7, frequency-domain analysis module 8, time-domain analysis module 9 and nonlinear analysis module 10 constantly; Pre-processing module 6, exciting extraction module 7, time-domain analysis module 9 constantly connect successively; The outfan of pre-processing module 6 connects frequency-domain analysis module 8 and nonlinear analysis module 10 respectively, and the outfan of frequency-domain analysis module 8, time-domain analysis module 9 and nonlinear analysis module 10 is connected output display device 11 respectively; Pre-processing module 6 is used for removing synergetic external noise of cardiac mapping signal and interference; Exciting extraction module 7 constantly is intended to from the cardiac mapping signal, extract the excited moment of its corresponding myocardial cell crowd; The time domain specification of time-domain analysis module 9 analytic signals; The frequency domain characteristic of frequency-domain analysis module 8 analytic signals; Nonlinear analysis module 10 is extracted more complicated nonlinear transformations from signal.
Among the present invention, it can be flexible electrode etc. that said mark is surveyed electrode.
Among the present invention, comprise in the said nonlinear analysis module 10 and be used for the rhythm analysis unit 12 that the analysis of cardiac mark is surveyed signal rhythm and pace of moving things state.
Among the present invention; What said rhythm analysis unit 12 adopted is auto-correlation function sequence Peak Intensity Method: as the estimation of exciting interval of the main rhythm and pace of moving things of this segment signal, the range value at inferior big peak is as the measurement index of this segment signal alignment degree with maximum peak in the signal auto-correlation function sequence and time big peak-to-peak interval.
Among the present invention, mark is surveyed electrode .1, multistage amplifier 2 and data collecting card 3 and is realized by hardware circuit; Acquisition module 4 and signal analysis and processing unit 5 perhaps upward realization of DSP on computers; 11 of output display devices can be selected in liquid crystal display screen, computer display or the alarm etc. any for use.
A kind of cardiac mapping signal analysis treating method that the present invention proposes, particularly a kind of on-the-spot perhaps rhythm analysis method of clinical practice of zoopery that is applicable to.This method is the basis with the auto-correlation function of cardiac mapping signal, and its principle is that the auto-correlation function of periodic signal also is a periodic signal, and the cycle of auto-correlation function is consistent with the signal period.As previously mentioned, during some arrhythmia, the excited source of dystopy except that sinuatrial node possibly appear in the heart.At this moment, the cardiac mapping signal can be regarded as sinus rhythm signal and ectopic rhythm signal and forms by ad hoc rule stack, reconstruct.Therefore, the auto-correlation function of mark survey signal and the prosodic feature (cycle, signal amplitude) of two species rhythm signals are closely related.So we can extrapolate mark and survey the current rhythm and pace of moving things state of signal from the auto-correlation function of signal.
The cardiac mapping signal analysis treating method that the present invention proposes, concrete steps are following:
A. from animal or human heart, gather the cardiac mapping data;
B. select interested mark location point and time section, data are sent into the signal analysis and processing unit;
C. the cardiac mapping data are carried out pretreatment, eliminate various interference and noise;
D. the signal to each mark location point carries out rhythm analysis, its auto-correlation function sequence of calculating one by one, and computing formula is following:
Wherein x is that mark is surveyed signal, and τ is the relative time displacement, and n is the signal sequence number;
E. the auto-correlation function sequence is carried out normalization;
F. search its maximum peak and time big peak in the auto-correlation function sequence after each normalization; With maximum peak and time big peak-to-peak interval as the estimation of excited interval of this segment signal predominant rhythm; The range value at inferior big peak is as the measurement parameter (amplitude is big more, and signal is regular more) of this segment signal alignment degree;
G. for single mark location point, observe the envelope of its signal auto-correlation function sequence, the myocardial cell electrical activity that can extrapolate under this site is influenced by several species rhythms, and which kind of is main with;
H. survey the zone for mark interested, can draw pseudocolour picture or stereogram, to embody during the arrhythmia distribution situation of the various excited rhythm and pace of moving things on the heart intuitively according to each site predominant rhythm exciting interval, alignment degree in the zone.
Among the present invention, when the myocardium electric excitation propagation direction of research, can call exciting extraction module constantly, promptly analyze each mark location point sequential of myocardial cell crowd excitement down, its result of calculation can be used for the rhythm analysis result with reference to contrast.
Compared with prior art, the present invention has following beneficial effect:
1. harvester and analysis process system are blent into one, the analysis and processing method that is adopted is simply effective, therefore can realize the field assay in zoopery or the clinical treatment;
2. the rhythm analysis method based on auto-correlation function has stronger adaptability, under normal cardiac rhythm He during the arrhythmia, good analysis result can both be arranged.Thereby the arrhythmogenic mechanism of the method detection that can be used for performing the operation and long-range research.
Description of drawings
Fig. 1 is the structural representation of apparatus of the present invention;
Fig. 2 is the structural representation that apparatus of the present invention are applied to epicardial mapping zoopery embodiment 1;
Fig. 3 is the workflow diagram that the inventive method is applied to epicardial mapping zoopery embodiment 1;
Fig. 4 is the operation result sketch map of the inventive method.
Label among the figure: the 1st, mark is surveyed electrode, the 2nd, multistage amplifier, the 3rd, data collecting card; The 4th, acquisition module, the 5th, signal analysis and processing unit, the 6th, pre-processing module; The 7th, exciting extraction module constantly, the 8th, frequency-domain analysis module, the 9th, time-domain analysis module; The 10th, nonlinear analysis module, the 11st, output display device, the 12nd, rhythm analysis unit.
The specific embodiment
Below in conjunction with accompanying drawing and embodiment the present invention is further specified.
Embodiment 1: as shown in Figure 1, the cardiac mapping signal analysis and processing device that the present invention proposes comprises: a cover mark is surveyed electrode 1, is used for gathering the cardiac mapping signal from the heart region of interest; One cover multistage amplifier 2, its input is surveyed 1 terminal linking to each other of electrode through cable and mark, is intended to the cardiac mapping signal of millivolt level is amplified to the volt level, simultaneously unwanted frequency composition in the filtered signal; One blocks of data capture card 3, input insert the output of amplifier 2, and be used for that the analog electrocardiogram mark is surveyed signal and sample, analog digital conversion, and deposit the data buffer memory of capture card 3 in; One cover acquisition module 4 periodically reads the cardiac mapping data, and saves as data file from the data buffer memory of capture card 3; A signal analysis and processing unit 5 comprises pretreatment 6, exciting extracts 7 constantly, modules 10 such as frequency-domain analysis 8, time-domain analysis 9 and nonlinear analysis, is used for the electrocardiographicassignment assignment test signal that has collected is carried out the analyzing and processing of online or off-line; An output display device 11 is used for the display analysis result.The device acceptance of the bid is surveyed electrode 1, multistage amplifier 2, data collecting card 3 through the hardware realization; Acquisition module 4 can be realized on computer or DSP with signal analysis and processing unit 5; Two parts link to each other through the usb data line; Output display device 11 can be selected in liquid crystal display screen, computer display or the alarm etc. any for use.During work, the signal analysis and processing unit reads one section cardiac mapping data according to preestablishing of operator from internal memory or data file; At first, carry out noise in the pretreatment erasure signal; Secondly, the excited time information of myocardial cell in the extraction signal; Once more, call the analysis and processing unit in one or more analysis module according to setting; At last analysis result is transferred to output display device, shows with modes such as pseudocolour picture or stereograms.
Fig. 2 is that the present invention is used for the zooperal embodiment of epicardial mapping.In this example, the survey of the mark on heart zone is visceral pericardium (being exterior heart surface).Mark is surveyed under the prerequisite that the operation of electrode 1 orthopaedic surgical operations opens breast and is sewn onto on the visceral pericardium; The amplification of multistage amplifier 2 is chosen 500-2000 doubly usually, and effective frequency range is the 3-600 hertz; The sample frequency of data collecting card 3 is 2000 hertz.Be the real-time that guarantees to handle, signal analysis and processing unit 5 only carries out rhythm analysis 12 usually at the zoopery scene.Its workflow is: at first, the cardiac mapping data in the internal memory are carried out pretreatment 6; Secondly, pretreated data are sent into rhythm analysis unit 12 carry out computings such as auto-correlation function; Result with rhythm analysis outputs to display device 11 with predominant rhythm scattergram and the distribution of signal alignment degree scattergram respectively at last; The wherein exciting moment extracts 7 and is optional module, and its operation result can be used for comparing with the result of rhythm analysis 12.
As shown in Figure 3, when the inventive method was carried out rhythm analysis to experimental data in the epicardial mapping zoopery, its workflow was:
1. gather the cardiac mapping signal through apparatus of the present invention from the animal exterior heart surface, and be converted into digital form;
From survey the period (length be generally 5-20 second) according to mark location point of setting in the parameter preset interested and mark the data and choose data matrix to be analyzed (data of marking location point are delegation);
3. treat analytical data and carry out pretreatment;
4. pretreated data matrix is carried out auto-correlation function line by line and calculate (scope of relative displacement be generally 0-2 second), after the normalization, obtain autocorrelation sequence;
(if necessary, the autocorrelation sequence scattergram is drawn on ground, site one by one, to analyze the excited rhythm and pace of moving things state of corresponding myocardial cell crowd)
5. in the auto-correlation function sequence, search maximum peak and time position at big peak, as the estimation of excited interval of signal predominant rhythm, the range value in proper order big peak is as the index of gauge signal alignment degree with the interval at two peaks;
6. behind the rhythm and pace of moving things state that has write down all mark location point signals, draw predominant rhythm scattergram and alignment degree scattergram in the area-of-interest with the mode of pseudocolour picture.
Fig. 4 is that an anticipatory remark inventive method is applied to visceral pericardium zoopery analysis result sketch map.Experimental data is taken from the position, right auricle in the animal hearts, and the data time section is that afterwards 20 seconds of atrial fibrillation (a kind of complicated arrhythmia) take place animal.The analysis result sketch map is drawn with the form of pseudocolour picture, and the numerical range of various color representatives is labeled in the right side of figure.As previously mentioned, self correlation primary and secondary peak is the estimation of the excited interval of signal predominant rhythm part at interval.Fig. 4 a shows that two region memories of AB are in altofrequency excited (excited interval＜100ms); And the excited interval in C zone, obviously will be grown than the AB zone.This phenomenon is to meet physical location relation between right auricle electrode (B sheet) and sinuatrial node (the excited interval of sinus rhythm is usually than the significant length in dystopy source), the stimulating electrode: the upper left quarter of B sheet is nearest from superior vena cava in the zoopery, and sinuatrial node is just near the sulcus terminalis of superior vena cava and right atrium intersection; And the stimulating electrode approximate location is as among the figure shown in ' 0 '.Fig. 4 b has further embodied the trizonal difference of ABC.The amplitude at self correlation time big peak is the index of gauge signal alignment degree.The signal alignment degree in C zone is minimum, and A is the highest, and B is low relatively.Fig. 4 c is the isochronograph analysis result of extraction module 7 (constantly exciting) of a-quadrant, can find that signal is propagated down in the a-quadrant left.Three figure of comparison are confirmable to be; Possibly there is the excited source of a dystopy near the stimulating electrode; The a-quadrant is the dominant paths that the atrial fibrillation excitement that provide in the dystopy source on the animal hearts when taking place is propagated, and the C zone receives simultaneously and passes the influence that excitement is uploaded in excited and dystopy source sinuatrial node under.
Claims (4)
1. cardiac mapping signal analysis and processing device; Surveying electrode (1), multistage amplifier (2), data collecting card (3), acquisition module (4), signal analysis and processing unit (5) and output display device (11) by mark forms; It is characterized in that mark is surveyed electrode (1), multistage amplifier (2), data collecting card (3), acquisition module (4) and signal analysis and processing unit (5) connect successively; The outfan of acquisition module (4) and signal analysis and processing unit (5) is connected output display device (11) respectively, wherein:
Mark is surveyed electrode (1), is used to be placed in the area-of-interest on the heart;
Multistage amplifier (2) will be amplified to the amplitude that is fit to follow-up data capture card (3) collection from the faint electrocardiographicassignment assignment test signal of mark survey electrode (1), and unwanted frequency composition in the filtered signal;
Data collecting card (3) is sampled to the electrocardiographicassignment assignment test signal after amplifying, and is converted into digital signal, and deposits in the capture card data buffer memory;
Acquisition module (4) reads in internal memory with the cardiac mapping data in the capture card data buffer memory, and periodically saves as data file;
Signal analysis and processing unit (5) carries out analyzing and processing to the electrocardiographicassignment assignment test data; Said signal analysis and processing unit (5) is made up of pre-processing module (6), exciting extraction module (7), frequency-domain analysis module (8), time-domain analysis module (9) and nonlinear analysis module (10) constantly; Pre-processing module (6), exciting extraction module (7), time-domain analysis module (9) constantly connect successively; The outfan of pre-processing module (6) connects frequency-domain analysis module (8) and nonlinear analysis module (10) respectively, and the outfan of frequency-domain analysis module (8), time-domain analysis module (9) and nonlinear analysis module (10) is connected output display device (10) respectively; Pre-processing module (6) is used for removing synergetic external noise of cardiac mapping signal and interference; Exciting extraction module (7) constantly is intended to from the cardiac mapping signal, extract the excited moment of its corresponding myocardial cell crowd; The time domain specification of time-domain analysis module (9) analytic signal; The frequency domain characteristic of frequency-domain analysis module (8) analytic signal; Nonlinear analysis module (10) is extracted more complicated nonlinear transformations from signal;
Output display device (11) is used to show the waveform and the analysis processing result of cardiac mapping data.
2. cardiac mapping signal analysis and processing device according to claim 1 is characterized in that comprising in the said nonlinear analysis module (10) the rhythm analysis unit (12) that is used for analysis of cardiac mark survey signal rhythm and pace of moving things state.
3. cardiac mapping signal analysis and processing device according to claim 2; What it is characterized in that said rhythm analysis unit (12) adopts is auto-correlation function sequence Peak Intensity Method: as the estimation of exciting interval of the main rhythm and pace of moving things of this segment signal, the range value at inferior big peak is as the measurement index of this segment signal alignment degree with maximum peak in the signal auto-correlation function sequence and time big peak-to-peak interval.
4. cardiac mapping signal analysis and processing device according to claim 1, it is characterized in that said output display device (11) be in liquid crystal display screen, computer display or the alarm any.
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| WO2014185977A1 (en) | 2013-05-14 | 2014-11-20 | Boston Scientific Scimed Inc. | Representation and identification of activity patterns during electro-physiology mapping using vector fields |
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| CN105982644B (en) * | 2015-02-11 | 2019-01-04 | 四川锦江电子科技有限公司 | A kind of cardiac three-dimensional map mode |
| US10271757B2 (en) | 2015-09-26 | 2019-04-30 | Boston Scientific Scimed Inc. | Multiple rhythm template monitoring |
| US10405766B2 (en) | 2015-09-26 | 2019-09-10 | Boston Scientific Scimed, Inc. | Method of exploring or mapping internal cardiac structures |
| EP3353753A1 (en) | 2015-09-26 | 2018-08-01 | Boston Scientific Scimed Inc. | Systems and methods for anatomical shell editing |
| CN106137182B (en) * | 2016-07-27 | 2019-11-12 | 复旦大学 | The frequency domain correlation analysis method of cardiac mapping signal |
| CN107811626A (en) * | 2017-09-10 | 2018-03-20 | 天津大学 | A kind of arrhythmia classification method based on one-dimensional convolutional neural networks and S-transformation |
| CN111096740B (en) * | 2018-10-25 | 2022-04-01 | 上海微创电生理医疗科技股份有限公司 | Electrocardiosignal analysis method and device, signal recorder and three-dimensional mapping system |
| CN111772621B (en) * | 2020-07-02 | 2023-06-02 | 复旦大学 | Multi-lead heart mapping signal analysis processing device and method thereof |
| CN112535483B (en) * | 2020-11-17 | 2021-09-03 | 东南大学 | Heart sympathetic activity detection device based on high-frequency electrocardio |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5041973A (en) * | 1988-10-25 | 1991-08-20 | London Health Association | Cardiac mapping system simulator |
| US5595183A (en) * | 1995-02-17 | 1997-01-21 | Ep Technologies, Inc. | Systems and methods for examining heart tissue employing multiple electrode structures and roving electrodes |
| US5795303A (en) * | 1995-02-17 | 1998-08-18 | Ep Technologies, Inc. | Systems and methods for making time-sequential measurements of biopotentials sensed in myocardial tissue |
| US20040082870A1 (en) * | 1997-07-31 | 2004-04-29 | Yoram Rudy | Systems and methods for determining a surface geometry |
| CN101292870A (en) * | 2007-01-11 | 2008-10-29 | 韦伯斯特生物官能公司 | Automated pace-mapping for identification of cardiac arrhythmic conductive pathways and foci |
-
2010
- 2010-08-19 CN CN2010102576370A patent/CN101933803B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5041973A (en) * | 1988-10-25 | 1991-08-20 | London Health Association | Cardiac mapping system simulator |
| US5595183A (en) * | 1995-02-17 | 1997-01-21 | Ep Technologies, Inc. | Systems and methods for examining heart tissue employing multiple electrode structures and roving electrodes |
| US5795303A (en) * | 1995-02-17 | 1998-08-18 | Ep Technologies, Inc. | Systems and methods for making time-sequential measurements of biopotentials sensed in myocardial tissue |
| US20040082870A1 (en) * | 1997-07-31 | 2004-04-29 | Yoram Rudy | Systems and methods for determining a surface geometry |
| CN101292870A (en) * | 2007-01-11 | 2008-10-29 | 韦伯斯特生物官能公司 | Automated pace-mapping for identification of cardiac arrhythmic conductive pathways and foci |
Non-Patent Citations (3)
| Title |
|---|
| Cuiwei Yang,et.al.Development of Epicardial Mapping System for Studying Atrial Fibrillation.<2008 International Conference on Biomedical Engineering and Informatics>.2008,606-609. * |
| 周宇.心外膜电位标测系统的信号分析方法研究及心外/心内通用复律除颤器的研制.《复旦大学博士学位论文》.2009,全文. * |
| 林都督，等.128道心外膜电位标测系统的设计.《生物医学工程学进展》.2009,136-138. * |
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