title: Mental state estimation for brain--computer interfaces.
abstract: Mental state estimation is potentially useful for the development of asynchronous brain--computer interfaces. In this study, four mental states have been identified and decoded from the electrocorticograms (ECoGs) of six epileptic patients, engaged in a memory reach task. A novel signal analysis technique has been applied to high-dimensional, statistically sparse ECoGs recorded by a large number of electrodes. The strength of the proposed technique lies in its ability to jointly extract spatial and temporal patterns, responsible for encoding mental state differences. As such, the technique offers a systematic way of analyzing the spatiotemporal aspects of brain information processing and may be applicable to a wide range of spatiotemporal neurophysiological signals.
authors.affiliation: Department of Psychology, University of California, Santa Barbara, CA 93106, USA. kdas@uci.edu
authors.forename: Koel
authors.initials: K
authors.lastname: Das
authors.forename: Daniel S
authors.initials: DS
authors.lastname: Rizzuto
authors.forename: Zoran
authors.initials: Z
authors.lastname: Nenadic
mesh_terms: D000465:Algorithms; D001132:Arm / Q000502:physiology; D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000503:physiopathology; D006801:Humans; D011939:Mental Recall / Q000502:physiology; D009068:Movement / Q000502:physiology; D010363:Pattern Recognition, Automated / Q000379:methods; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface