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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| Format: | Thesis |
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2010
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| Online Access: | http://shdl.mmu.edu.my/3473/ |
| _version_ | 1848790336576421888 |
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| author | Amir Hamzah, Nur Asyiqin |
| author_facet | Amir Hamzah, Nur Asyiqin |
| author_sort | Amir Hamzah, Nur Asyiqin |
| building | MMU Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T18:11:00Z |
| format | Thesis |
| id | mmu-3473 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:11:00Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-34732021-09-21T06:56:37Z http://shdl.mmu.edu.my/3473/ Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network 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 NonPeerReviewed Amir Hamzah, Nur Asyiqin (2010) Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network. Masters thesis, Multimedia University. https://proxyvlib.mmu.edu.my/login?url=http://library.mmu.edu.my/library2/diglib/mmuetd/ |
| spellingShingle | RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry Amir Hamzah, Nur Asyiqin Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network |
| title | 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_short | Premature Ventricular Contraction Classification Using Wavelet Features And Probabilistic Neural Network |
| title_sort | premature ventricular contraction classification using wavelet features and probabilistic neural network |
| topic | RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
| url | http://shdl.mmu.edu.my/3473/ http://shdl.mmu.edu.my/3473/ |