Effects of Continuous Kinaesthetic Feedback Based on Tendon Vibration on Motor Imagery BCI Performance

Background and objectives: Feedback plays a crucial role for using brain computer interface systems. This paper proposes the use of vibration-evoked kinaesthetic illusions as part of a novel multisensory feedback for a motor imagery (MI)-based BCI and investigates its contributions in terms of BCI p...

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Vydáno v:IEEE transactions on neural systems and rehabilitation engineering Ročník 26; číslo 1; s. 105 - 114
Hlavní autoři: Barsotti, Michele, Leonardis, Daniele, Vanello, Nicola, Bergamasco, Massimo, Frisoli, Antonio
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.01.2018
Témata:
Actuators
Adult
Algorithms
Arm - physiology
Brain computer interfaces
Data Interpretation, Statistical
Electroencephalography
Evoked Potentials - physiology
Feedback
Feedback, Sensory - physiology
Female
Healthy Volunteers
Humans
Imagination - physiology
kinaesthetic feedback
Kinesthesis - physiology
Male
motor imagery
Psychomotor Performance - physiology
Skin
tendon vibration
Tendons
Tendons - physiology
Training
Vibration
Vibrations
Visualization
Young Adult
ISSN:1534-4320, 1558-0210, 1558-0210
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Shrnutí:Background and objectives: Feedback plays a crucial role for using brain computer interface systems. This paper proposes the use of vibration-evoked kinaesthetic illusions as part of a novel multisensory feedback for a motor imagery (MI)-based BCI and investigates its contributions in terms of BCI performance and electroencephalographic (EEG) correlates. Methods: sixteen subjects performed two different right arm MI-BCI sessions: with the visual feedback only and with both visual and vibration-evoked kinaesthetic feedback, conveyed by the stimulation of the biceps brachi tendon. In both conditions, the sensory feedback was driven by the MI-BCI. The rich and more natural multisensory feedback was expected to facilitate the execution of MI, and thus to improve the performance of the BCI. The EEG correlates of the proposed feedback were also investigated with and without the performing of MI. Results and Conclusions: the contribution of vibration-evoked kinaesthetic feedback led to statistically higher BCI performance (Anova, F (1,14) = 18.1, p <; .01) and more stable EEG event-related-desynchronization. Obtained results suggest promising application of the proposed method in neuro-rehabilitation scenarios: the advantage of an improved usability could make the MI-BCIs more applicable for those patients having difficulties in performing kinaesthetic imagery.
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ISSN:1534-4320
1558-0210
1558-0210
DOI:10.1109/TNSRE.2017.2739244