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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:English
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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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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