DocumentCode :
3509253
Title :
An efficient wavelet analysis for ECG signal processing
Author :
Mukherjee, A. ; Ghosh, K.K.
Author_Institution :
Dept. of Electron. & Commun. Eng., Inst. of Eng. & Manage., Kolkata, India
fYear :
2012
fDate :
18-19 May 2012
Firstpage :
411
Lastpage :
415
Abstract :
Fourier expansion, an excellent spectral decomposer of a signal suffers from a setback in its inability to represent the signal simultaneously in both time and spectral domain. ECG, a non-invasive recording method of bioelectric signal originated in the heart, provides valuable information about the electrical activity of human heart. Different features of the ECG can be extracted from the intervals and amplitudes of these waves at different sections. The primordial step in ECG feature extraction is the QRS Complex detection. The accuracy of the QRS complex detection defines the accuracy of locating all other waves and their intervals. The DWT, however a powerful tool for ECG feature extraction, is still limited by the choice of wavelets for use in feature extraction. We present a comparative study on the choice of some of the conventionally used wavelets and their corresponding accuracies for ECG feature extraction by R peak detection. In extracting, the B Spline wavelet transform of ECG signal is found to be the most efficient means of ECG signal processing.
Keywords :
Fourier analysis; bioelectric potentials; electrocardiography; feature extraction; medical signal processing; spectral analysis; time-domain analysis; wavelet transforms; B spline wavelet transform; ECG signal processing; Fourier expansion; QRS complex detection; R peak detection; bioelectric signal; electrical activity; feature extraction; human heart; noninvasive recording method; spectral decomposer; spectral domain; time domain; wavelet analysis; Electrocardiography; Feature extraction; Signal processing; Wavelet analysis; Arrhythmia; B-Spline; Coiflet; DWT; Daubechies; R Peak Detection; Symlet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
Type :
conf
DOI :
10.1109/ICIEV.2012.6317419
Filename :
6317419
Link To Document :
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