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...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2011
|
| 主題: | |
| 在線閱讀: | 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 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
成為第一個發表評論!