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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| 格式: | Conference or Workshop Item |
| 语言: | English |
| 出版: |
2011
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| 主题: | |
| 在线阅读: | 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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