Low count of optically pumped magnetometers furnishes a reliable real-time access to sensorimotor rhythm
원문 초록
This study presents an analysis of sensorimotor rhythms using an advanced, optically-pumped magnetoencephalography (OPM-MEG) system - a novel and rapidly developing technology. We conducted real-movement and motor imagery experiments with nine participants across two distinct magnetically-shielded environments: one featuring an analog active suppression system and the other a digital implementation. Our findings demonstrate that, under optimal recording conditions, OPM sensors provide highly informative signals, suitable for use in practical motor imagery brain-computer interface (BCI) applications. We further examine the feasibility of a portable, low-sensor-count OPM-based BCI under varied experimental setups, highlighting its potential for real-time control of external devices via user intentions.
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AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
MVCNet: Multi-View Contrastive Network for Motor Imagery Classification
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification
토론
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