Sollfrank, T., Ramsay, A. , Perdikis, S., Williamson, J. , Murray-Smith, R. , Leeb, R., Millán, J.d.R. and Kübler, A. (2016) The effect of multimodal and enriched feedback on SMR-BCI performance. Clinical Neurophysiology, 127(1), pp. 490-498. (doi: 10.1016/j.clinph.2015.06.004) (PMID:26138148)
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Abstract
Objective This study investigated the effect of multimodal (visual and auditory) continuous feedback with information about the uncertainty of the input signal on motor imagery based BCI performance. A liquid floating through a visualization of a funnel (funnel feedback) provided enriched visual or enriched multimodal feedback. Methods In a between subject design 30 healthy SMR-BCI naive participants were provided with either conventional bar feedback (CB), or visual funnel feedback (UF), or multimodal (visual and auditory) funnel feedback (MF). Subjects were required to imagine left and right hand movement and were trained to control the SMR based BCI for five sessions on separate days. Results Feedback accuracy varied largely between participants. The MF feedback lead to a significantly better performance in session 1 as compared to the CB feedback and could significantly enhance motivation and minimize frustration in BCI use across the five training sessions. Conclusion The present study demonstrates that the BCI funnel feedback allows participants to modulate sensorimotor EEG rhythms. Participants were able to control the BCI with the funnel feedback with better performance during the initial session and less frustration compared to the CB feedback. Significance The multimodal funnel feedback provides an alternative to the conventional cursorbar feedback for training subjects to modulate their sensorimotor rhythms.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Murray-Smith, Professor Roderick and Williamson, Dr John and Ramsay, Mr Andrew |
Authors: | Sollfrank, T., Ramsay, A., Perdikis, S., Williamson, J., Murray-Smith, R., Leeb, R., Millán, J.d.R., and Kübler, A. |
College/School: | College of Science and Engineering > School of Computing Science |
Journal Name: | Clinical Neurophysiology |
Publisher: | Elsevier |
ISSN: | 1388-2457 |
ISSN (Online): | 1872-8952 |
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