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Post-adaptation effects in a motor imagery brain-computer interface online coadaptive paradigm

Cunha, Jose Diogo and Perdikis, Serafeim and Halder, Sebastian and Scherer, Reinhold (2021) 'Post-adaptation effects in a motor imagery brain-computer interface online coadaptive paradigm.' IEEE Access, 9. pp. 41688-41703. ISSN 2169-3536

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Online coadaptive training has been successfully employed to enable people to control motor imagery (MI)-based brain-computer interfaces (BCIs), allowing to completely skip the lengthy and demotivating open-loop calibration stage traditionally applied before closed-loop control. However, practical reasons may often dictate to eventually switch off decoder adaptation and proceed with BCI control under a fixed BCI model, a situation that remains rather unexplored. This work studies the existence and magnitude of potential post-adaptation effects on system performance, subject learning and brain signal modulation stability in a state-of-the-art, coadaptive training regime inspired by a game-like design. The results extracted in a cohort of 20 able-bodied individuals reveal that ceasing classifier adaptation after three runs (approx. 30 min) of a single-session training protocol had no significant impact on any of the examined BCI control and learning aspects in the remaining two runs (about 20 min) with a fixed classifier. Fifteen individuals achieved accuracies that are better than chance level and allowed them to successfully execute the given task. These findings alleviate a major concern regarding the applicability of coadaptive MI BCI training, thus helping to further establish this training approach and allow full exploitation of its benefits.

Item Type: Article
Uncontrolled Keywords: Training; Task analysis; Decoding; Games; Electroencephalography; Brain-computer interfaces; Protocols; Brain-computer interface; classifier adaptation; coadaptation; motor imagery; online learning; user training
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 30 Mar 2021 10:55
Last Modified: 23 Sep 2022 19:44

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