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: | , , , , |
|---|---|
| Format: | Book Section |
| Published: |
Springer Berlin Heidelberg
2011
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/28927/ http://eprints.utm.my/28927/ http://eprints.utm.my/28927/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|