Quote
J. S. Alhadadin, H. Barioudi, and T. Felderhoff, “Feasibility of Motor State Differentiation Using a Cost-Effective 8-Channel EEG,” Current Directions in Biomedical Engineering, vol. 12, no. 1, pp. 500–503, 2026, doi: 10.1515/cdbme-2026-0227
Content
Current trends in neurotechnology point toward
more accessible, cost-effective, and portable solutions, par
ticularly in the context of neurorehabilitation. This study
investigates whether motor execution (ME) and motor imagery
(MI) can be reliably distinguished using a cost-effective 8
channel EEG. Data were recorded from 12 participants per
performing hand-clenching tasks and subsequently analyzed, with
focusing on event-related spectral perturbations (ERSP) within
the µ and beta frequency bands. Results indicate that while µ
desynchronization serves as a stable feature in both conditions,
it is significantly more pronounced during physical execution.
In the beta band, the mean power decrease across the acti
provided superior discriminative power compared
compared to transient peak values, whereas the Peak-Approach
better characterized transient β-rebounds by capturing instant
extrema. Overall, these findings suggest that com
combined spectral analysis supports differentiation between ME
and MI, even with reduced electrode configurations. This high
highlights the potential of low-cost, efficient systems for practical
brain–computer interface applications in everyday settings.
References and Relationships
DOI 10.1515/cdbme-2026-0227
OpenAlex ID W7215064827