Feature extraction of EEG signals and classification using FCM
EEG data were collected between two conditions, relax wakefulness (close-eyes) and non-relax (IQ test). Data segmentation and linear regression model is used to extract the EEG features and to obtain the slope and the mean relative power from 43 participants. All of the data were then normalized and...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2011
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| Subjects: |