Epileptic seizure detection using singular values and classical features of EEG signals
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...
| Main Authors: | Elmahdy, A.E., Yahya, N., Kamel, N.S., Shahid, A. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31634 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2015
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| 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/ |
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