title: Study on non-linear bistable dynamics model based EEG signal discrimination analysis method.
abstract: 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 characterized by coherence index. Experimental results showed that the proposed method could properly extract the features of different EEG signals.
authors.affiliation: a College of Information Engineering; Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province ; Zhejiang A & F University ; Linan , China.
authors.forename: Xiaoguo
authors.initials: X
authors.lastname: Ying
authors.affiliation: a College of Information Engineering; Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province ; Zhejiang A & F University ; Linan , China.
authors.forename: Han
authors.initials: H
authors.lastname: Lin
authors.affiliation: a College of Information Engineering; Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province ; Zhejiang A & F University ; Linan , China.
authors.forename: Guohua
authors.initials: G
authors.lastname: Hui
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D016002:Discriminant Analysis; D004569:Electroencephalography / Q000379:methods*; D019054:Evoked Potentials, Motor / Q000502:physiology*; D006801:Humans; D007092:Imagination / Q000502:physiology*; D009044:Motor Cortex / Q000502:physiology*; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: EEG analysis; bistable dynamics model; coherence index; discrimination; non-linear