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  4. Long-term decoding of movement force and direction with a wireless myoelectric implant
 
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Long-term decoding of movement force and direction with a wireless myoelectric implant

Citation Link: https://doi.org/10.15480/882.2340
Publikationstyp
Journal Article
Date Issued
2015-12-08
Sprache
English
Author(s)
Morel, Pierre  
Ferrea, Enrico  
Taghizadeh-Sarshouri, Bahareh  
Cardona Audí, Josep Marcel  
Ruff, Roman  
Hoffmann, Klaus-Peter  
Lewis, Sören  
Russold, Michael  
Dietl, Hans  
Abu Saleh, Lait  
Schröder, Dietmar  
Krautschneider, Wolfgang  
Meiners, Thomas  
Gail, Alexander  
Institut
Integrierte Schaltungen E-9  
TORE-DOI
10.15480/882.2340
TORE-URI
http://hdl.handle.net/11420/2950
Journal
Journal of neural engineering  
Volume
13
Issue
1
Start Page
016002
Citation
Journal of Neural Engineering 1 (13): 016002 (2015)
Publisher DOI
10.1088/1741-2560/13/1/016002
Scopus ID
2-s2.0-84957812777
Publisher
Institute of Physics Publishing (IOP)
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. Approach. 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. Main 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. Significance. 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).
Subjects
electromyography
wireless
prothesis
decoding
force
DDC Class
610: Medizin
More Funding Information
German Federal Ministry for Education and Reseach (BMBF) grant No, 16SV3695, 16SV3699, 16SV3697 and 01GQ1005C, DFG Deutsche Forschungsgemeinschaft grant No. GA1475-C1
Lizenz
https://creativecommons.org/licenses/by-nc/3.0/
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