A Powerful Algorithm to aid Cardiac Arrhythmia Diagnosis |
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Authors: | F BEREKSI-REGUIG Z E HADJ SLIMANE |
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Institution: | Biomedical Electronic Laboratory (BEL) , Institut D'elecfronique Universite A. Belkai'd-Tlemcen , B. P. 119, Tlemcen, (13000), Algerie |
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Abstract: | Abstract 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. |
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Keywords: | cortical bone mechanotransduction piezoelectricity multiphysics |
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