Optimizing Brain-Computer Interface Performance: Advancing EEG Signals Channel Selection through Regularized CSP and SPEA II Multi-Objective Optimization

arXiv:2405.00721v1 Announce Type: cross
Abstract: Brain-computer interface systems and the recording of brain activity has garnered significant attention across a diverse spectrum of applications. EEG signals have emerged as a modality for recording neural electrical activity. Among the methodologies designed for feature extraction from EEG data, the method of RCSP has proven to be an approach, particularly in the context of MI tasks. RCSP exhibits efficacy in the discrimination and classification of EEG signals. In optimizing the performance of this …

abstract applications arxiv attention brain brain activity brain-computer interface computer cs.lg csp diverse eeg eess.sp extraction feature feature extraction multi-objective optimization performance recording spectrum systems through type