Zitat
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
Abstract
Current trends in neurotechnology point toward
more accessible, cost-effective, and portable solutions, par
ticularly in the context of neurorehabilitation. This study in
vestigates whether motor execution (ME) and motor imagery
(MI) can be reliably differentiated using a cost-effective 8
channel EEG. Data were recorded from 12 participants per
forming hand-clenching tasks and subsequently analyzed, fo
cusing 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
vation window provided superior discriminative power com
pared to transient peak values, whereas the Peak-Approach
better characterized transient β-rebounds by capturing instan
taneous extrema. Overall, these findings suggest that com
bined spectral analysis supports differentiation between ME
andMI,evenwithreducedelectrode configurations. This high
lights the potential of low-cost, efficient systems for practical
brain–computer interface applications in everyday settings.
Referenzen und Relationen
DOI 10.1515/cdbme-2026-0227
OpenAlex ID W7215064827