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Do Not Move! Entropy Driven Detection of Intentional Non-Control during Online SMR-BCI Operations.

Correct classification of motor imagery tasks is not the only requirement of a Brain-Computer Interface (BCI) based on Sensorimotor Rhythms (SMR). Indeed, a SMR-BCI controlling an external device (e.g., robotic prostheses) needs to reliably detect even if the user is in the so-called Intentional Non-Control (INC) state. In this work, we propose a novel approach to online detect INC and thus, to reduce undesired delivered commands during SMR-BCI operations. Results with six healthy subjects show that the proposed INC detection framework does not affect the online BCI performance and, more importantly, it reduces the number of unintentionally delivered BCI commands with respect to a traditional approach (in average 42.7 ± 13.76 % less).
Research areas:
Year:
2016
Type of Publication:
In Proceedings
Keywords:
BCI; Entropy; Intentional-Non Control
Volume:
2
Book title:
Converging Clinical and Engineering Research on Neurorehabilitation
Number:
15
Series:
Biosystems & Biorobotics
Pages:
989-993
Organization:
ICNR2016
Month:
October
ISBN:
978-3-319-46669-9
ISSN:
2195-3562
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