Epileptic seizure detection via EEG using tree-based pipeline optimization tool

• Main Authors: Javel, Irister M., Salvador, Rodolfo C., Dadios, Elmer P., Vicerra, Ryan Rhay P., Teologo, Antipas T.
• Format: text
• Published: Animo Repository 2019
• Subjects: Electroencephalography; Electrophysiological aspects of epilepsy; Epilepsy; Machine learning; Mechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2700
• Institution: De La Salle University

The electroencephalogram (EEG) signals being a recording of the electrical activity of the brain provides valuable information in the analysis of its function and disorder. Epilepsy is a brain disorder characterized by uncontrolled excessive activity. Repeated abnormal disturbance or seizure causes...