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Published August 2009 | Published
Journal Article Open

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.

Additional Information

© Copyright 2009 IEEE. Manuscript received March 6, 2008; revised September 16, 2008 and January 20, 2009. First published May 19, 2009; current version published July 15, 2009. The authors would like to acknowledge the anonymous reviewers and the editorial staff of this journal.

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