Title :
Daubechies algorithm for highly accurate ECG feature extraction
Author :
Balachandran, A. ; Ganesan, M. ; Sumesh, E.P.
Author_Institution :
Dept. of ECE, Amrita Vishwa Vidyapeetham, Coimbatore, India
Abstract :
An ECG is a sensitive diagnostic tool used to detect various cardio-vascular diseases by measuring and recording the electrical activity of the heart. The efficiency and speed of the feature extraction scheme has a major role in the ECG diagnostic system. The proposed work tries to develop an ECG feature extraction system based on the multi-resolution wavelet transform. This system tries to improve the performance of ECG analysis system by extracting highly accurate ECG features. The Daubechies wavelet filter is used here for extracting ECG features. MIT-BIH Arrhythmia database is used in this work to obtain the digitized ECG input signal.
Keywords :
cardiovascular system; diseases; electrocardiography; feature extraction; filtering theory; medical signal processing; signal resolution; wavelet transforms; Daubechies algorithm; Daubechies wavelet filter; ECG analysis system; ECG diagnostic system; MIT-BIH arrhythmia database; cardiovascular diseases; digitized ECG input signal; electrical activity measurement; electrical activity recording; highly accurate ECG feature extraction; multiresolution wavelet transform; sensitive diagnostic tool; Electrocardiography; Feature extraction; Filter banks; Lattices; Multiresolution analysis; Wavelet transforms; Daubechies wavelet; ECG; Feature extraction; Wavelet transform;
Conference_Titel :
Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on
Conference_Location :
Coimbatore
DOI :
10.1109/ICGCCEE.2014.6922266
