Zainuddin, Zarita and Lai, Kee Huong and Pauline, Ong (2013) Reliable epileptic seizure detection using an improved wavelet neural network. Australasian Medical Journal, 6 (5). pp. 308-314. ISSN 1836-1935
Full text not available from this repository. (Request a copy)Abstract
Electroencephalogram (EEG) signal analysis is indispensable in epilepsy diagnosis as it offers valuable insights for locating the abnormal distortions in the brain wave. However, visual interpretation of the massive amounts of EEG signals is time-consuming, and there is often inconsistent judgment between experts.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Epileptic seizure detection; Fuzzy C-means clustering; K-means clustering; Type-2 fuzzy C-means clustering; Wavelet neural network |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics |
| Divisions: | Faculty of Mechanical and Manufacturing Engineering > Department of Mechanical Engineering |
| Depositing User: | Miss Nur Rasyidah Rosli |
| Date Deposited: | 25 Nov 2021 04:31 |
| Last Modified: | 25 Nov 2021 04:31 |
| URI: | http://eprints.uthm.edu.my/id/eprint/4165 |
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