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Study on non-linear bistable dynamics model based EEG signal discrimination analysis method
2015
Bioengineered
Electroencephalogram (EEG) is the recording of electrical activity along the scalp. EEG measures voltage fluctuations generating from ionic current flows within the neurons of the brain. EEG signal is looked as one of the most important factors that will be focused in the next 20 years. In this paper, EEG signal discrimination based on non-linear bistable dynamical model was proposed. EEG signals were processed by non-linear bistable dynamical model, and features of EEG signals were
doi:10.1080/21655979.2015.1065360
pmid:26176364
pmcid:PMC4825826
fatcat:gmho5jeuqbh63nzdw3tnem25by