title: Motor imagery classification by means of source analysis methods.
abstract: We report our investigation of classification of imagined left and right hand movements by applying source analysis methods. Independent component analysis (ICA) is used as a spatio-temporal filter, then equivalent dipole analysis and cortical current density imaging methods are applied to reconstruct equivalent sources, to aid classification of motor imagery tasks in a human subject. The classification was considered correct if the equivalent source was found over the motor cortex in the corresponding hemisphere. A classification rate of about 80% was achieved in the human subject studied using both the equivalent dipole analysis and the cortical current density imaging analysis.
authors.affiliation: Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
authors.forename: L
authors.initials: L
authors.lastname: Qin
authors.forename: J
authors.initials: J
authors.lastname: Deng
authors.forename: L
authors.initials: L
authors.lastname: Ding
authors.forename: B
authors.initials: B
authors.lastname: He