Arrhythmia modelling via ECG characteristic frequencies and artificial neural network

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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:	Proceedings - 2014 IEEE Conference on System, Process and Control, ICSPC 2014
Main Author:	Jalil M.H.F.M.; Saaid M.F.; Ahmad A.; Ali M.S.A.M.
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2014
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949924672&doi=10.1109%2fSPC.2014.7086242&partnerID=40&md5=b6ff5164fdb07f55ad1db1abd98911b5

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