EEG signals identification using neural network due to radiofrequency exposure
Electroencephalogram (EEG) signals, alpha, beta, theta and delta sub bands were used as inputs to the signals identification system with three discrete outputs: left group, right group and control group. By identifying features in the EEG signals we want to distinguish the significant difference of...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/107765/ http://dx.doi.org/10.1109/NBEC58134.2023.10352621 |
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| Institution: | Universiti Teknologi Malaysia |