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Singularity detection of the rabbit electrocardiogram:An evolutionary spectral method

Progress in Natural science:Materials International 2009年第10期19卷 1317-1326页

作者： xinyuan liua,dingwu he a,liuqing pei b,suming zhanga a school of electronics engineering and computer science,peking university,beijing 100871,china b college of information science and engineering,beijing normal university,beijing 100875,china school of electronics engineering and computer science Peking University Beijing 100871 China college of information science and engineering Beijing Normal University Beijing 100875 China

The time-frequency characteristics of the spectral density of non-stationary signals(NSS) in the neighborhood of an instant time point can be determined using the evolutionary spectral *** experimental rabbit model involving ligation of the left anterior descending coronary artery to simulate the physiology of early phase myocardial ischemia(EPMI) has been previously ***,EPMI derived from left coronary artery stenosis is the main symptom of coronary heart diseases including acute myocardial ***,we propose a new algorithm for estimating the evolutionary spectral density functions,which is an effective approach to determine the instantaneous frequency spectra(IFS) of NSS under the uncertainty principle in the time-frequency *** localization singularity information in the data recorded from a living system could be detected by means of the ***(ECG) data recorded from experimental rabbits were analyzed with the new *** showed that the Q’s value of the evolutionary spectral quality number of the QRS-complex data was the characteristic parameter of ECG,and there was a matched connection between the time-frequency characteristics of QRS-complex data and the myocardial ischemia symptoms of the *** results provide valuable information regarding features of the EPMI for use in clinical diagnoses.

关键词： Non-stationary signals Electrocardiogram(ECG) Evolutionary spectrum Instantaneous frequency spectrum(IFS) Myocardial ischemia

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Characteristics of magnetocardiography and electrocardiography in the time-frequency domain

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Chinese science bulletin 2011年第8期56卷 819-825页

作者： LIU xinyuan pei liuqing ZHANG suming WANG Yin DAI YuanDong school of electronics engineering and computer science Peking University Beijing 100871 China college oflnformation science and Technology Beijing Normal University Beifing 100875 China State Key Laboratory for Artificial Microstructure and Mesoscopic Physics School of Physics Peking University Beijing 100871 China

As the carriers of electromagnetic information about the cardiac system,both magnetocardiography(MCG) and electrocardiography(ECG) are non-stationary signals(NSS).The essential and crucial features of NSS are the local time-frequency characteristics(LTFCH).Under the constraint of the uncertainty principle in the time-frequency domain(TFD),the LTFCH of those non-stationary signals can be determined by evolutionary spectrum analysis(ESA).In this paper,by analyzing the QRS complexes of both MCG and ECG data from healthy volunteers,we have derived some characteristic parameters(CHPs) in the TFD,such as the quality factor(Q) and center frequency(fz).According to the experiment results,we believe that there are threshold ranges of Q and fz values in the dynamic behavior of the cardiac system for healthy *** the CHPs are in the proper ranges,the cardiac system is in a normal condition and homeostasis can be *** contrast,if the values of the CHPs are less than the proper ranges,the homeostasis of the cardiac system is lost and some cardiac diseases may *** assumption of the threshold ranges is verified by sample data from different cardiac diseases,and the results support the *** CHPs are not only a kind of new reference criterion for ECG in clinical diagnosis,but also afford a technological route for the application of MCGs in cardiology.

关键词：特征参数心电图时频域心脏健康非平稳信号工程系统心脏疾病电磁信息

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