A Powerful Algorithm to aid Cardiac Arrhythmia Diagnosis.
The Electrocardiogram (ECG), represents the electrical activity of the heart. It is characterised by a number of waves P, QRS, T which are correlated to the status of the heart activity. In this paper, the aim is to present a powerful algorithm to aid cardiac diagnosis. The approach used is based on a determinist method, that of the tree decision. However, the different waves of the ECG signal need to be identified and then measured following a signal to noise enhancement. Signal to noise enhancement is performed by a combiner linear adaptive filter whereas P, QRS, T wave identification and measurement are performed by a derivative approach. Results obtained on simulated and real ECG signals are shown to be highly, satisfactory in the aid of cardiac arrhythmia diagnosis, such as junctionnal escapes, blocks, etc.
Biomedical Electronic Laboratory (BEL), Institut D'electronique Universite A. Belkaïd-Tlemcen, B. P. 119, Tlemcen (13000), Algerie.
F.
F
Bereksi-Reguig
Z. E.
ZE
Hadj Slimane