Improving EEG signal peak detection using feature weight learning of a neural network with random weights for eye event-related applications
The optimization of peak detection algorithms for electroencephalogram (EEG) signal analysis is an ongoing project; previously existing algorithms have been used with different models to detect EEG peaks in various applications. However, none of the existing techniques perform adequately in eye even...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Springer India
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/75741/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015949141&doi=10.1007%2fs12046-017-0633-9&partnerID=40&md5=3d924178ad5f8df4a5aa517d5e4a6ba9 |
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