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Spatio-temporal analysis of EEG signal during consciousness using convolutional neural network
2018
2018 6th International Conference on Brain-Computer Interface (BCI)
Electroencephalogram (EEG) measurement could help to distinguish the level of consciousness in an individual without requiring a behavioral response, which could be useful as a diagnostic aid in patients with disorders of consciousness. In this study, we explored the EEG-evoked perturbation and analyzed consciousness using event-related spectral perturbation and convolutional neural network. We observed a novel EEG neurophysiological signature that can be used to monitor brain activity during
doi:10.1109/iww-bci.2018.8311489
fatcat:zs2wwlnprvaqlg2uqsoop7ooda