Classification of electroencephalogram signals using wavelet transform and particle swarm optimization
The electroencephalogram (EEG) is a signal measuring activities of the brain. Therefore, it contains useful information for diagnosis of epilepsy. However, it is a very time consuming and costly task to handle these subtle details by a human observer. In this paper, particle swarm optimization (PSO)...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer Verlag
2014
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| Online Access: | http://eprints.utm.my/id/eprint/52122/ https://link.springer.com/chapter/10.1007%2F978-3-319-11897-0_41 |
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