A comparative study on machine learning approach towards epileptiform eeg signals detection

Oh, Pearly Bei Qing (2017) A comparative study on machine learning approach towards epileptiform eeg signals detection. [Final Year Project Report] (Unpublished)

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Item Type: Final Year Project Report
Additional Information: Project Report (B.Sc.) -- Universiti Malaysia Sarawak, 2017.
Uncontrolled Keywords: Electroencephalogram (EEG), Epileptic seizure, Independent Component Analysis (ICA), Discrete Wavelet Transform (DWT), Multilayer Perceptron Neural Network (MLPNN), Adaptive Neuro-Fuzzy Inference System (ANFlS), Support Vector Machine (SVM), unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, undergraduate, research, Universiti Malaysia Sarawak.
Subjects: L Education > L Education (General)
Q Science > Q Science (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development
Depositing User: Karen Kornalius
Date Deposited: 27 Jul 2018 02:57
Last Modified: 27 Jul 2018 02:57
URI: http://ir.unimas.my/id/eprint/20936

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