title: Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis.
abstract: Highly accurate asynchronous detection of movement related patterns in individual electrocorticogram channels has been shown using detection based on either event-related potentials (ERPs) or event-related desynchronization and synchronization (ERD/ERS). A method using wavelet-packet features selected with a genetic algorithm was proposed to simultaneously detect ERP and ERD/ERS and was tested on data from seven subjects and four motor tasks. The proposed wavelet method performed better than previous methods with perfect detection for four subject/task combinations and hit percentages greater than 90% with false positive percentages less than 15% for at least one task for all seven subjects.
authors.affiliation: Institute of Human Computer Interfaces, University of Technology Graz, A-8010 Graz, Austria. graimann@tugraz.at
authors.forename: Bernhard
authors.initials: B
authors.lastname: Graimann
authors.forename: Jane E
authors.initials: JE
authors.lastname: Huggins
authors.forename: Simon P
authors.initials: SP
authors.lastname: Levine
authors.forename: Gert
authors.initials: G
authors.lastname: Pfurtscheller
mesh_terms: D000200:Action Potentials; D000465:Algorithms; D002540:Cerebral Cortex / Q000503:physiopathology*; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000503:physiopathology*; D019054:Evoked Potentials, Motor; D006801:Humans; D009068:Movement; D009474:Neurons; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014584:User-Computer Interface