A single-trial decoding method by integrating accumulated continuous classification for motor imagery based BCI

摘要

In this work, Accumulated Continuous Classification (ACC) method was proposed to facilitate single-trial decoding in Motor Imagery based Brain-computer Interface. Exploring the temporal information, the time interval of the single-trial was divided into several sub-segments, then the classified results were combined. Theoretical model was proposed, and the proposed method was evaluated in BCI competition 2008 IIa dataset.