Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network

Amir Hamzah, Nur Asyiqin (2010) Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network. Masters thesis, University of Multimedia.

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Abstract

Electrocardiogram (ECG) classification is vital in determining the health condition of an individual. Cardiologist examine ECG as a means of detecting heart condition and dangerous heart condition. Particularly, accurate detection of Premature Ventricular Contraction (PVC) is essential to prepare for the possible inception of life threatening arrhythmia.

Item Type: Thesis (Masters)
Subjects: R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 09 Apr 2012 04:14
Last Modified: 09 Apr 2012 04:14
URI: http://shdl.mmu.edu.my/id/eprint/3473

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