Change point detection of EEG signals based on particle swarm optimization
This paper proposes a change point detection for electroencephalograms (EEG) signal application based on Particle Swarm Optimization (PSO). As EEG signal is well known consider as non-stationary in nature, we model the signal by using the sinusoidal-Heaviside function, which are capable to represent...
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Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Published: |
2011
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Subjects: | |
Online Access: | http://eprints.um.edu.my/6140/ http://www.scopus.com/inward/record.url?eid=2-s2.0-79959971518&partnerID=40&md5=c980bbae6b17fb911efe3aeab87c0920 |
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