Automated diagnosis of epileptic EEG using entropies

• Main Authors: Molinari, Filippo, Sree, Subbhuraam Vinitha, Acharya, U. Rajendra, Suri, Jasjit S., Chattopadhyay, Subhagata, Ng, Kwan-Hoong
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2013
• Online Access: https://hdl.handle.net/10356/99007; http://hdl.handle.net/10220/12854
• Institution: Nanyang Technological University

Epilepsy is a neurological disorder characterized by the presence of recurring seizures. Like many other neurological disorders, epilepsy can be assessed by the electroencephalogram (EEG). The EEG signal is highly non-linear and non-stationary, and hence, it is difficult to characterize and interpre...