Arrhythmia modelling via ECG characteristic frequencies and artificial neural network

ECG refers to non-invasive bioelectrical recording of the heart. Under the clinical settings, the ECG is interpreted by cardiologists via conventional inspection techniques. The methods however are exposed to visual error which leads to inaccurate diagnosis of the heart condition. Hence, as an attem...

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Bibliographic Details

Published in:	2014 IEEE Conference on Systems, Process and Control (ICSPC 2014) pp. 121 - 126
Main Authors:	Mohd Jalil, M. H. F., Saaid, M. F., Ahmad, A., Megat Ali, M. S. A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2014
Subjects:	arrhythmia artificial neural network Artificial neural networks characteristic frequency Correlation correlation test ECG Electrocardiography Feature extraction Heart Testing Training
Online Access:	Get full text
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