Detection of self-paced reaching movement intention from EEG signals
Identifieur interne : 002280 ( Ncbi/Curation ); précédent : 002279; suivant : 002281Detection of self-paced reaching movement intention from EEG signals
Auteurs : Eileen Lew [Suisse] ; Ricardo Chavarriaga [Suisse] ; Stefano Silvoni [Italie] ; José Del R. Millán [Suisse]Source :
- Frontiers in Neuroengineering [ 1662-6443 ] ; 2012.
Abstract
Future neuroprosthetic devices, in particular upper limb, will require decoding and
executing not only the user's intended movement type, but also
Url:
DOI: 10.3389/fneng.2012.00013
PubMed: 23055968
PubMed Central: 3458432
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PMC:3458432Le document en format XML
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<author><name sortKey="Millan, Jose Del R" sort="Millan, Jose Del R" uniqKey="Millan J" first="José Del R." last="Millán">José Del R. Millán</name>
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<author><name sortKey="Lew, Eileen" sort="Lew, Eileen" uniqKey="Lew E" first="Eileen" last="Lew">Eileen Lew</name>
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<author><name sortKey="Chavarriaga, Ricardo" sort="Chavarriaga, Ricardo" uniqKey="Chavarriaga R" first="Ricardo" last="Chavarriaga">Ricardo Chavarriaga</name>
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<country xml:lang="fr">Suisse</country>
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<author><name sortKey="Silvoni, Stefano" sort="Silvoni, Stefano" uniqKey="Silvoni S" first="Stefano" last="Silvoni">Stefano Silvoni</name>
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<author><name sortKey="Millan, Jose Del R" sort="Millan, Jose Del R" uniqKey="Millan J" first="José Del R." last="Millán">José Del R. Millán</name>
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<country>Ecole Polytechnique Fédérale de Lausanne, Switzerland</country>
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<country xml:lang="fr">Suisse</country>
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<series><title level="j">Frontiers in Neuroengineering</title>
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<imprint><date when="2012">2012</date>
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<front><div type="abstract" xml:lang="en"><p>Future neuroprosthetic devices, in particular upper limb, will require decoding and
executing not only the user's intended movement type, but also
<italic>when</italic>
the user intends to execute the movement. This work investigates
the potential use of brain signals recorded non-invasively for detecting the time before a
self-paced reaching movement is initiated which could contribute to the design of
practical upper limb neuroprosthetics. In particular, we show the detection of self-paced
reaching movement intention in single trials using the readiness potential, an
electroencephalography (EEG) slow cortical potential (SCP) computed in a narrow frequency
range (0.1–1 Hz). Our experiments with 12 human volunteers, two of them stroke
subjects, yield high detection rates prior to the movement onset and low detection rates
during the non-movement intention period. With the proposed approach, movement intention
was detected around 500 ms before actual onset, which clearly matches previous literature
on readiness potentials. Interestingly, the result obtained with one of the stroke
subjects is coherent with those achieved in healthy subjects, with single-trial
performance of up to 92% for the paretic arm. These results suggest that, apart from
contributing to our understanding of voluntary motor control for designing more advanced
neuroprostheses, our work could also have a direct impact on advancing robot-assisted
neurorehabilitation.</p>
</div>
</front>
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