title: [Discrimination between left and right hand movement imagery event-releated EEG pattern].
abstract: Left and right hand movement imagery can modifty the neural activity in the primary sensorimotor areas in a very similar way as observable with a real executed movement, leading to the special changes of EEG components such as event-related desynchronization/synchronization (ERD/ERS). Quick and correct classification of these event-related EEG pattern can be used to help patients with severe paralysis to move a cursor or orthosis to replace impaired motor function and provide a new communicatoion channel to environment. In this paper left and right hand movement imagery experiment method was introduced, some kinds of classification methods for event-related EEG pattern during motor imagery were reviewed and the prospect of classification methods was also put forward.
authors.affiliation: Department of Biomedical Engineering, School of Computer and Information Technology, Beijing, Jiaotong University, Beijing 100044, China. earlazq@vip.sina.com
authors.forename: Qiang
authors.initials: Q
authors.lastname: Zhu
authors.forename: Mingshi
authors.initials: M
authors.lastname: Wang
mesh_terms: D003143:Communication Devices for People with Disabilities; D003344:Cortical Synchronization; D004569:Electroencephalography / Q000295:instrumentation*; D019054:Evoked Potentials, Motor / Q000502:physiology; D006225:Hand; D006801:Humans; D008954:Models, Biological; D009044:Motor Cortex / Q000502:physiology*; D009068:Movement; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface