tailieunhanh - An application of wavelet theory to electrocardiograms singular points analysis

In this paper, a report is made on an application of the mentioned capability of wavelet transform for grasping subtle changes and discontinuities in electrocardiogram (ECG) signals. From the signal processing point of view, it shows that the diagnostic of ECG signals is carried out by excluding any recognised abnormality as singular points or irregular structures. | TẠP CHÍ KHOA HỌC VÀ CÔNG NGHỆ Tập 48, số 1, 2010 Tr. 1-9 AN APPLICATION OF WAVELET THEORY TO ELECTROCARDIOGRAMS SINGULAR POINTS ANALYSIS NGUYEN HUU TRUNG ABSTRACT In recent years, wavelet transform-based algorithms have been developed and successful in the signal processing in many areas since the wavelet transform is a useful and powerful tool for analysing signals in both transient and stationary intervals. In this paper, a report is made on an application of the mentioned capability of wavelet transform for grasping subtle changes and discontinuities in electrocardiogram (ECG) signals. From the signal processing point of view, it shows that the diagnostic of ECG signals is carried out by excluding any recognised abnormality as singular points or irregular structures. For analyzing purpose, wavelet footprints are characterized by scale-space vectors in a discrte model by discontinuing signals in piecewise polynominal. And a focus is made on applications of fetal ECG detection from maternal ECG. 1. Introduction Electrocardiography (ECG) still plays a basic role in cardiology being a effective, simple, non-invasive graphy with low cost procedures for carrying out diagnoses of cardiovascular disorders (high epidemiologic incidence). Pathological alterations observable by electrocardiography can be divided into three main areas, namely cardiac rhythm disturbances (arrhythmia), disfunction of myocardial blood perfusion (cardiac ischemia) and chronic alteration of the mechanical structure of the heart (for example, left ventricular hypertrophy) [1]. ECG signal represents the variation of electrical potential during the cardiac cycle as recorded between surface of electrodoes on the body of patient. Characteristic shape of this signal is resulted from an action potential propagating within the heart and causing a constraction of various portions of the cardiac muscle. This internal excitation starts at the sinus node which acts as a pacemaker, and then spreads to .

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