Rule-base wearable embedded platform for seizure detection from real EEG data in ambulatory state

• Main Authors: Shakir, M., Malik, A.S., Kamel, N., Qidwai, U.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2014
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911982080&doi=10.1109%2ftenconspring.2014.6862995&partnerID=40&md5=ab1e87baa3b7618c758bf268781e340d; http://eprints.utp.edu.my/31248/

This paper describes a classification method is presented using an empirical Rule-base System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. The system distinguishes between 'Normal' and ...