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

fYear

2014

fDate

6-8 March 2014

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on

Conference_Location

Coimbatore

Type

conf

DOI

10.1109/ICGCCEE.2014.6922266

Filename

6922266