A new approach for arrhythmia classification

Author

Karhk, B. ; Özbay, Yüksel

Author_Institution

Dept. of Electr.-Electron. Eng., Celal Bayar Univ., Manisa, Turkey

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1646

Abstract

The ECG signal is formed of the P wave, the QRS complex and the T wave. The P wave appears as a result of QRS complex ventricle contraction because of electrical stimulation initiation at the sinoatrial node and spreading in the cardiac muscles. The T wave appears as a result of ventricle relaxation. In this study the ECG signal is analyzed in the time domain. For this purpose, arrhythmia are determined by taking related mean time intervals of ECG as feature extraction. Arrhythmia are categorized by applying time elapsed between two R waves (RR intervals), appearing in ECG signals, as the input for artificial neural networks

Keywords

electrocardiography; medical signal processing; time-domain analysis; ECG signal; P wave; QRS complex ventricle contraction; RR intervals; T wave; arrhythmia classification; artificial neural networks; cardiac muscles; electrical stimulation initiation; electrodiagnostics; sinoatrial node; Artificial neural networks; Cardiology; Electrical stimulation; Electrocardiography; Frequency; Heart; Muscles; Neural networks; Rhythm; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647593

Filename

647593