title: Fractals properties of EEG during event-related desynchronization of motor imagery.
abstract: Chaos and fractal dimension are emerging modalities for the research of electroencephalogram (EEG) signal processing. The capability of measuring non-linear characteristics of the fractal dimension enables new methodologies to identify distinct brain activities. Recent studies on the topic focus on utilizing various types of fractals as features in order to design better brain state classification system. However, we have little insight about the EEG signals projected in fractal dimension. In this paper, we investigate the relationship between the non-linear characteristics of ongoing EEG signals and event-related desynchronization (ERD) during motor imagery. We observed a considerable synchronization between ERD and fractal dimension. This finding suggests further usage of chaos and fractal theory in investigating brain activities.
authors.forename: Ngoc Quang
authors.initials: NQ
authors.lastname: Nguyen
authors.forename: Quang Dang Khoa
authors.initials: QD
authors.lastname: Truong
authors.forename: Toshiyuki
authors.initials: T
authors.lastname: Kondo
mesh_terms: D001921:Brain / Q000502:physiology; D001931:Brain Mapping / Q000379:methods; D004569:Electroencephalography / Q000379:methods*; D017709:Fractals; D006801:Humans; D007091:Image Processing, Computer-Assisted; D012815:Signal Processing, Computer-Assisted