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Journal of NeuroEngineering and Rehabilitation
Published in: Journal of NeuroEngineering and Rehabilitation 1/2007

Open Access 01-12-2007 | Research

A brain-computer interface with vibrotactile biofeedback for haptic information

Authors: Aniruddha Chatterjee, Vikram Aggarwal, Ander Ramos, Soumyadipta Acharya, Nitish V Thakor

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2007

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Abstract

Background

It has been suggested that Brain-Computer Interfaces (BCI) may one day be suitable for controlling a neuroprosthesis. For closed-loop operation of BCI, a tactile feedback channel that is compatible with neuroprosthetic applications is desired. Operation of an EEG-based BCI using only vibrotactile feedback, a commonly used method to convey haptic senses of contact and pressure, is demonstrated with a high level of accuracy.

Methods

A Mu-rhythm based BCI using a motor imagery paradigm was used to control the position of a virtual cursor. The cursor position was shown visually as well as transmitted haptically by modulating the intensity of a vibrotactile stimulus to the upper limb. A total of six subjects operated the BCI in a two-stage targeting task, receiving only vibrotactile biofeedback of performance. The location of the vibration was also systematically varied between the left and right arms to investigate location-dependent effects on performance.

Results and Conclusion

Subjects are able to control the BCI using only vibrotactile feedback with an average accuracy of 56% and as high as 72%. These accuracies are significantly higher than the 15% predicted by random chance if the subject had no voluntary control of their Mu-rhythm. The results of this study demonstrate that vibrotactile feedback is an effective biofeedback modality to operate a BCI using motor imagery. In addition, the study shows that placement of the vibrotactile stimulation on the biceps ipsilateral or contralateral to the motor imagery introduces a significant bias in the BCI accuracy. This bias is consistent with a drop in performance generated by stimulation of the contralateral limb. Users demonstrated the capability to overcome this bias with training.
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Metadata
Title
A brain-computer interface with vibrotactile biofeedback for haptic information
Authors
Aniruddha Chatterjee
Vikram Aggarwal
Ander Ramos
Soumyadipta Acharya
Nitish V Thakor
Publication date
01-12-2007
Publisher
BioMed Central
Published in
Journal of NeuroEngineering and Rehabilitation / Issue 1/2007
Electronic ISSN: 1743-0003
DOI
https://doi.org/10.1186/1743-0003-4-40

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