Title :
A new approach for arrhythmia classification
Author :
Karhk, B. ; Özbay, Yüksel
Author_Institution :
Dept. of Electr.-Electron. Eng., Celal Bayar Univ., Manisa, Turkey
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.647593
