Detecting ventricular fibrillation

Author

Afonso, Valtino X. ; Tompkins, Willis J.

Author_Institution

Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA

Volume

14

Issue

2

fYear

1995

Firstpage

152

Lastpage

159

Abstract

The short time Fourier transform (STFT), smoothed pseudo Wigner Ville distribution (SPWVD), and cone-shaped kernel distribution (CKD) have been used to compare the time-frequency distribution of normal sinus rhythm, ventricular tachycardia, ventricular flutter, and ventricular fibrillation signals. This work is a pilot study to illustrate that the CKD and SPWVD have better time and frequency resolution than the STFT. It demonstrates that accurate methods of computing the time-frequency domain should be found for ECG signals. Only then should future work be done to design discriminatory features and classifiers for arrhythmias

Keywords

Fourier transforms; Wigner distribution; electrocardiography; medical signal processing; time-frequency analysis; ECG analysis; arrhythmia classifiers; cone-shaped kernel distribution; discriminatory features; frequency resolution; normal sinus rhythm; short time Fourier transform; smoothed pseudo Wigner Ville distribution; time resolution; time-frequency distribution; ventricular fibrillation detection; Chaos; Classification algorithms; Distributed computing; Electrocardiography; Feature extraction; Fibrillation; Frequency domain analysis; Rhythm; Signal resolution; Time frequency analysis;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/51.376752

Filename

376752