Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network

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 fo...

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主要作者: Amir Hamzah, Nur Asyiqin
格式: Thesis
出版: 2010
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spelling my-mmu-ep.34732021-09-21T06:56:37Z Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network 2010-09 Amir Hamzah, Nur Asyiqin RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry 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. 2010-09 Thesis http://shdl.mmu.edu.my/3473/ https://proxyvlib.mmu.edu.my/login?url=http://library.mmu.edu.my/library2/diglib/mmuetd/ masters Multimedia University Faculty of Engineering and Technology
institution Multimedia University
collection MMU Institutional Repository
topic RC0321 Neuroscience
Biological psychiatry
Neuropsychiatry
spellingShingle RC0321 Neuroscience
Biological psychiatry
Neuropsychiatry
Amir Hamzah, Nur Asyiqin
Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network
description 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.
format Thesis
qualification_level Master's degree
author Amir Hamzah, Nur Asyiqin
author_facet Amir Hamzah, Nur Asyiqin
author_sort Amir Hamzah, Nur Asyiqin
title Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network
title_short Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network
title_full Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network
title_fullStr Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network
title_full_unstemmed Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network
title_sort premature ventricular contraction classification using wavelet features and probabilistic neural network
granting_institution Multimedia University
granting_department Faculty of Engineering and Technology
publishDate 2010
_version_ 1776101411567697920