Epileptic seizure detection using singular values and classical features of EEG signals

• Main Authors: Elmahdy, A.E., Yahya, N., Kamel, N.S., Shahid, A.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2015
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961793416&doi=10.1109%2fICBAPS.2015.7292238&partnerID=40&md5=ef42740f7c30ddbfbee8db2f51195d29; http://eprints.utp.edu.my/31634/
• Institution: Universiti Teknologi Petronas

In this paper, an epileptic seizure event detection algorithm utilizing five features namely singular values, total average power, delta band average power, variance and mean, is proposed. Using CHB-MIT Scalp EEG Database, the calculations of the features are performed over a sliding window of one s...