Adaptive Estimation of EEG for Subject-Specific Reactive Band Identification and Improved ERD Detection

Kalyana Chakravarthy Veluvolu, Yubo Wang, Jin-Ho Cho, and Michael Defoort


Brain computer interface, EEG, ERD


The event-related desynchronization (ERD) is a magnitude decrease phenomenon which can be found in electroencephalogram (EEG) mu-rhythm in a certain narrow frequency band (reactive band) during motor/motor-imagery tasks. The success of ERD detection depends on proper identification of subject specific reactive band. A fast and efficient method for identification of subject specific reactive band for real-time ERD detection is developed in this paper. BMFLC is an adaptive algorithm that can track multiple frequency components in a pre-defined band limited signal and provides high resolution time-frequency decomposition of the signal. With the time-frequency mapping, a procedure is formulated for reactive band identification. Study is conducted on 8 subjects for reactive band identification and results show a 30% average increase in ERD with the proposed method.

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