Citation
Amir Hamzah, Nur Asyiqin (2010) Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network. Masters thesis, Multimedia University. Full text not available from this repository.
Official URL: https://proxyvlib.mmu.edu.my/login?url=http://libr...
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: | 21 Sep 2021 06:56 |
| URII: | http://shdl.mmu.edu.my/id/eprint/3473 |
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