title: Phase synchronization analysis and support vector machine for recognition of mental tasks.
abstract: A measuring method of phase synchronization is presented for analyzing event-related electroencephalogram (EEG) recordings. The mean phase coherence (MPC) of EEG recordings during imagination of hand movement is calculated. Furthermore, the support vector machine is used for classification of the mental tasks. The preliminary results suggest that MPC could be promising method for brain-computer interfaces. Dynamic MPC measurement provides a new idea for recognition of mental tasks.
authors.affiliation: Lanzhou Univ. of Technol.
authors.forename: Zhang
authors.initials: Z
authors.lastname: Aihua
authors.forename: Zhao
authors.initials: Z
authors.lastname: Yuhan