Long-term decoding of movement force and direction with a wireless myoelectric implant.
Identifieur interne : 000175 ( PubMed/Corpus ); précédent : 000174; suivant : 000176Long-term decoding of movement force and direction with a wireless myoelectric implant.
Auteurs : Pierre Morel ; Enrico Ferrea ; Bahareh Taghizadeh-Sarshouri ; Josep Marcel Cardona Audí ; Roman Ruff ; Klaus-Peter Hoffmann ; Sören Lewis ; Michael Russold ; Hans Dietl ; Lait Abu-Saleh ; Dietmar Schroeder ; Wolfgang Krautschneider ; Thomas Meiners ; Alexander GailSource :
- Journal of neural engineering [ 1741-2552 ] ; 2016.
Abstract
The ease of use and number of degrees of freedom of current myoelectric hand prostheses is limited by the information content and reliability of the surface electromyography (sEMG) signals used to control them. For example, cross-talk limits the capacity to pick up signals from small or deep muscles, such as the forearm muscles for distal arm amputations, or sites of targeted muscle reinnervation (TMR) for proximal amputations. Here we test if signals recorded from the fully implanted, induction-powered wireless Myoplant system allow long-term decoding of continuous as well as discrete movement parameters with better reliability than equivalent sEMG recordings. The Myoplant system uses a centralized implant to transmit broadband EMG activity from four distributed bipolar epimysial electrodes.
DOI: 10.1088/1741-2560/13/1/016002
PubMed: 26643959
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pubmed:26643959Le document en format XML
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<author><name sortKey="Morel, Pierre" sort="Morel, Pierre" uniqKey="Morel P" first="Pierre" last="Morel">Pierre Morel</name>
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<author><name sortKey="Ferrea, Enrico" sort="Ferrea, Enrico" uniqKey="Ferrea E" first="Enrico" last="Ferrea">Enrico Ferrea</name>
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<author><name sortKey="Taghizadeh Sarshouri, Bahareh" sort="Taghizadeh Sarshouri, Bahareh" uniqKey="Taghizadeh Sarshouri B" first="Bahareh" last="Taghizadeh-Sarshouri">Bahareh Taghizadeh-Sarshouri</name>
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<author><name sortKey="Audi, Josep Marcel Cardona" sort="Audi, Josep Marcel Cardona" uniqKey="Audi J" first="Josep Marcel Cardona" last="Audí">Josep Marcel Cardona Audí</name>
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<author><name sortKey="Taghizadeh Sarshouri, Bahareh" sort="Taghizadeh Sarshouri, Bahareh" uniqKey="Taghizadeh Sarshouri B" first="Bahareh" last="Taghizadeh-Sarshouri">Bahareh Taghizadeh-Sarshouri</name>
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<author><name sortKey="Audi, Josep Marcel Cardona" sort="Audi, Josep Marcel Cardona" uniqKey="Audi J" first="Josep Marcel Cardona" last="Audí">Josep Marcel Cardona Audí</name>
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<author><name sortKey="Ruff, Roman" sort="Ruff, Roman" uniqKey="Ruff R" first="Roman" last="Ruff">Roman Ruff</name>
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<author><name sortKey="Hoffmann, Klaus Peter" sort="Hoffmann, Klaus Peter" uniqKey="Hoffmann K" first="Klaus-Peter" last="Hoffmann">Klaus-Peter Hoffmann</name>
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<author><name sortKey="Lewis, Soren" sort="Lewis, Soren" uniqKey="Lewis S" first="Sören" last="Lewis">Sören Lewis</name>
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<author><name sortKey="Abu Saleh, Lait" sort="Abu Saleh, Lait" uniqKey="Abu Saleh L" first="Lait" last="Abu-Saleh">Lait Abu-Saleh</name>
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<author><name sortKey="Schroeder, Dietmar" sort="Schroeder, Dietmar" uniqKey="Schroeder D" first="Dietmar" last="Schroeder">Dietmar Schroeder</name>
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<author><name sortKey="Krautschneider, Wolfgang" sort="Krautschneider, Wolfgang" uniqKey="Krautschneider W" first="Wolfgang" last="Krautschneider">Wolfgang Krautschneider</name>
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<author><name sortKey="Meiners, Thomas" sort="Meiners, Thomas" uniqKey="Meiners T" first="Thomas" last="Meiners">Thomas Meiners</name>
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<series><title level="j">Journal of neural engineering</title>
<idno type="eISSN">1741-2552</idno>
<imprint><date when="2016" type="published">2016</date>
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<front><div type="abstract" xml:lang="en">The ease of use and number of degrees of freedom of current myoelectric hand prostheses is limited by the information content and reliability of the surface electromyography (sEMG) signals used to control them. For example, cross-talk limits the capacity to pick up signals from small or deep muscles, such as the forearm muscles for distal arm amputations, or sites of targeted muscle reinnervation (TMR) for proximal amputations. Here we test if signals recorded from the fully implanted, induction-powered wireless Myoplant system allow long-term decoding of continuous as well as discrete movement parameters with better reliability than equivalent sEMG recordings. The Myoplant system uses a centralized implant to transmit broadband EMG activity from four distributed bipolar epimysial electrodes.</div>
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<DateCreated><Year>2016</Year>
<Month>02</Month>
<Day>04</Day>
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<JournalIssue CitedMedium="Internet"><Volume>13</Volume>
<Issue>1</Issue>
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<Title>Journal of neural engineering</Title>
<ISOAbbreviation>J Neural Eng</ISOAbbreviation>
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<ArticleTitle>Long-term decoding of movement force and direction with a wireless myoelectric implant.</ArticleTitle>
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<Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">The ease of use and number of degrees of freedom of current myoelectric hand prostheses is limited by the information content and reliability of the surface electromyography (sEMG) signals used to control them. For example, cross-talk limits the capacity to pick up signals from small or deep muscles, such as the forearm muscles for distal arm amputations, or sites of targeted muscle reinnervation (TMR) for proximal amputations. Here we test if signals recorded from the fully implanted, induction-powered wireless Myoplant system allow long-term decoding of continuous as well as discrete movement parameters with better reliability than equivalent sEMG recordings. The Myoplant system uses a centralized implant to transmit broadband EMG activity from four distributed bipolar epimysial electrodes.</AbstractText>
<AbstractText Label="APPROACH" NlmCategory="METHODS">Two Rhesus macaques received implants in their backs, while electrodes were placed in their upper arm. One of the monkeys was trained to do a cursor task via a haptic robot, allowing us to control the forces exerted by the animal during arm movements. The second animal was trained to perform a center-out reaching task on a touchscreen. We compared the implanted system with concurrent sEMG recordings by evaluating our ability to decode time-varying force in one animal and discrete reach directions in the other from multiple features extracted from the raw EMG signals.</AbstractText>
<AbstractText Label="MAIN RESULTS" NlmCategory="RESULTS">In both cases, data from the implant allowed a decoder trained with data from a single day to maintain an accurate decoding performance during the following months, which was not the case for concurrent surface EMG recordings conducted simultaneously over the same muscles.</AbstractText>
<AbstractText Label="SIGNIFICANCE" NlmCategory="CONCLUSIONS">These results show that a fully implantable, centralized wireless EMG system is particularly suited for long-term stable decoding of dynamic movements in demanding applications such as advanced forelimb prosthetics in a wide range of configurations (distal amputations, TMR).</AbstractText>
</Abstract>
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<AffiliationInfo><Affiliation>Cognitive Neuroscience Laboratory-Sensorimotor Group, German Primate Center-Leibniz Institute for Primate Research, Kellnerweg, 4, D-37077 Göttingen, Germany.</Affiliation>
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