Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification
EEG signal analysis involves multi-frequency non-stationary brain waves from multiple channels. Segmenting these signals, extracting features to obtain the important properties of the signal and classification are key aspects of detecting epileptic seizures. Despite the introduction of several techn...
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Main Authors: | Al-Sharhan, Salah, Bimba, Andrew |
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Format: | Article |
Published: |
Elsevier
2019
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Subjects: | |
Online Access: | http://eprints.um.edu.my/20123/ https://doi.org/10.1016/j.asoc.2018.11.012 |
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