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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Bibliographic Details

Main Authors:	Mohamed Saaid, M.F., Wan Abas, Wan Abu Bakar, Arof, Hamzah, Mokhtar, N., Ramli, R., Ibrahim, Z.
Format:	Conference or Workshop Item
Language:	en
Published:	2011
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.um.edu.my/9482/1/Change_Point_Detection_of_EEG_Signals_Based_on_Particle_Swarm_Optimization.pdf http://eprints.um.edu.my/9482/ https://doi.org/10.1007/978-3-642-21729-6_122
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