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...
| Main Authors: | , , , , , |
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| Format: | Article |
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Springer India
2017
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