Neural network classification of late gamma band electroencephalogram features
This paper investigates the feasibility of using neural network (NN) and late gamma band (LGB) electroencephalogram (EEG) features extracted from the brain to identify the individuality of subjects. The EEG signals were recorded using 61 active electrodes located on the scalp while the subjects perc...
| Main Authors: | Ravi, K. V. R., Palaniappan, Ramaswamy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2006
|
| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2037/ http://shdl.mmu.edu.my/2037/1/1382.pdf |
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