New approach for arrhythmia classification
| dc.contributor.author | Karlik Bekir | |
| dc.contributor.author | Ozbay Yuksel | |
| dc.date.accessioned | 2025-04-10T11:18:30Z | |
| dc.date.available | 2025-04-10T11:18:30Z | |
| dc.date.issued | 1996 | |
| dc.description.abstract | ECG signal is formed of P wave, QRS complex and T wave. P wave appears as a result of QRS complex ventricle contraction because of electrical stimulation initiation at sinoatrial node and spreading in cardiac muscles. T wave appears as a result of ventricle relaxation. In this study ECG signal is analyzed in time domain. For this purpose, arrhythmia are determined by taking related mean time intervals of ECG as future extraction. Arrhythmia are categorized by applying time elapsed between two R waves (RR intervals), appearing in ECG signals, as the input of Artificial Neural Networks (ANN). | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14701/53516 | |
| dc.publisher | IEEE | |
| dc.title | New approach for arrhythmia classification | |
| dc.type | Conference paper |