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A brain-computer interface with vibrotactile biofeedback for haptic information.

Identifieur interne : 001575 ( PubMed/Corpus ); précédent : 001574; suivant : 001576

A brain-computer interface with vibrotactile biofeedback for haptic information.

Auteurs : Aniruddha Chatterjee ; Vikram Aggarwal ; Ander Ramos ; Soumyadipta Acharya ; Nitish V. Thakor

Source :

RBID : pubmed:17941986

English descriptors

Abstract

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.

DOI: 10.1186/1743-0003-4-40
PubMed: 17941986

Links to Exploration step

pubmed:17941986

Le document en format XML

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<title xml:lang="en">A brain-computer interface with vibrotactile biofeedback for haptic information.</title>
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<name sortKey="Chatterjee, Aniruddha" sort="Chatterjee, Aniruddha" uniqKey="Chatterjee A" first="Aniruddha" last="Chatterjee">Aniruddha Chatterjee</name>
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<nlm:affiliation>Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, USA. ani.chatterjee@gmail.com</nlm:affiliation>
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<name sortKey="Aggarwal, Vikram" sort="Aggarwal, Vikram" uniqKey="Aggarwal V" first="Vikram" last="Aggarwal">Vikram Aggarwal</name>
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<name sortKey="Ramos, Ander" sort="Ramos, Ander" uniqKey="Ramos A" first="Ander" last="Ramos">Ander Ramos</name>
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<name sortKey="Acharya, Soumyadipta" sort="Acharya, Soumyadipta" uniqKey="Acharya S" first="Soumyadipta" last="Acharya">Soumyadipta Acharya</name>
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<name sortKey="Thakor, Nitish V" sort="Thakor, Nitish V" uniqKey="Thakor N" first="Nitish V" last="Thakor">Nitish V. Thakor</name>
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<title xml:lang="en">A brain-computer interface with vibrotactile biofeedback for haptic information.</title>
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<name sortKey="Aggarwal, Vikram" sort="Aggarwal, Vikram" uniqKey="Aggarwal V" first="Vikram" last="Aggarwal">Vikram Aggarwal</name>
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<name sortKey="Ramos, Ander" sort="Ramos, Ander" uniqKey="Ramos A" first="Ander" last="Ramos">Ander Ramos</name>
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<name sortKey="Acharya, Soumyadipta" sort="Acharya, Soumyadipta" uniqKey="Acharya S" first="Soumyadipta" last="Acharya">Soumyadipta Acharya</name>
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<name sortKey="Thakor, Nitish V" sort="Thakor, Nitish V" uniqKey="Thakor N" first="Nitish V" last="Thakor">Nitish V. Thakor</name>
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<title level="j">Journal of neuroengineering and rehabilitation</title>
<idno type="eISSN">1743-0003</idno>
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<term>Adult</term>
<term>Biofeedback, Psychology (methods)</term>
<term>Brain (physiology)</term>
<term>Electroencephalography (methods)</term>
<term>Evoked Potentials, Somatosensory (physiology)</term>
<term>Female</term>
<term>Humans</term>
<term>Imagination (physiology)</term>
<term>Male</term>
<term>Task Performance and Analysis</term>
<term>Touch (physiology)</term>
<term>User-Computer Interface</term>
<term>Vibration</term>
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<term>Biofeedback, Psychology</term>
<term>Electroencephalography</term>
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<term>Brain</term>
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<term>Imagination</term>
<term>Touch</term>
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<term>Adult</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Task Performance and Analysis</term>
<term>User-Computer Interface</term>
<term>Vibration</term>
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<front>
<div type="abstract" xml:lang="en">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.</div>
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<Month>01</Month>
<Day>23</Day>
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<Year>2014</Year>
<Month>09</Month>
<Day>04</Day>
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<Title>Journal of neuroengineering and rehabilitation</Title>
<ISOAbbreviation>J Neuroeng Rehabil</ISOAbbreviation>
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<ArticleTitle>A brain-computer interface with vibrotactile biofeedback for haptic information.</ArticleTitle>
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<MedlinePgn>40</MedlinePgn>
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<AbstractText Label="BACKGROUND" NlmCategory="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.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="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.</AbstractText>
<AbstractText Label="RESULTS AND CONCLUSION" NlmCategory="CONCLUSIONS">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.</AbstractText>
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