Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification

• Main Authors: Al-Sharhan, Salah, Bimba, Andrew
• Format: Article
• Published: Elsevier 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/20123/; https://doi.org/10.1016/j.asoc.2018.11.012

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...