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Robust arrhythmia classifier using wavelet transform and support vector machine classification

The Electrocardiogram (ECG) is the most widely used signal in clinical practice for the assessment of cardiac condition. This paper presents a robust arrhythmia classifier based on the combination of wavelet transform and timing features, as well as support vector machine classification technique. T...

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Bibliographic Details
Main Authors:	Chia, Nyoke Goon, Hau, Yuan Wen, Jamaludin, Mohd. Najeb
Format:	Conference or Workshop Item
Published:	2017
Subjects:	Q Science (General)
Online Access:	http://eprints.utm.my/id/eprint/97277/ http://dx.doi.org/10.1109/CSPA.2017.8064959
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