EEG signals classification using a hybrid method based on negative selection and particle swarm optimization
The diagnosis of epilepsy from EEG signals by a human scorer is a very time consuming and costly task considering the large number of epileptic patients admitted to the hospitals and the large amount of data needs to be scored. In this paper, a hybrid method called adaptive particle swarm negative s...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/46841/ https://dx.doi.org/10.1007/978-3-642-31537-4_34 |
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