Classification of mental tasks using fixed and adaptive autoregressive models of EEG signals
Classification of EEG signals extracted during mental tasks is a technique for designing Brain Computer Interfaces (BCI). In this paper, we classify EEG signals that were extracted during mental tasks using fixed autoregressive (FAR) and adaptive AR (AAR) models. Five different mental tasks from 4 s...
| Main Authors: | , |
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| Format: | Article |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2402/ |