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Sökning: id:"swepub:oai:research.chalmers.se:0f547655-e156-459a-aedb-d1710c95b90b" > Electromyography-Ba...

Electromyography-Based Control of Lower Limb Prostheses: A Systematic Review

Ahkami, Bahareh (författare)
Ahmed, Kirstin, 1974 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Thesleff, Alexander (författare)
Integrum AB
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Hargrove, Levi (författare)
Northwestern University
Ortiz Catalan, Max Jair, 1982 (författare)
Chalmers tekniska högskola,Chalmers University of Technology,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital,Bionics Institute
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 (creator_code:org_t)
2023
2023
Engelska.
Ingår i: IEEE Transactions on Medical Robotics and Bionics. - 2576-3202. ; 5:3, s. 547-562
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Most amputations occur in lower limbs and despite improvements in prosthetic technology, no commercially available prosthetic leg uses electromyography (EMG) information as an input for control. Efforts to integrate EMG signals as part of the control strategy have increased in the last decade. In this systematic review, we summarize the research in the field of lower limb prosthetic control using EMG. Four different online databases were searched until June 2022: Web of Science, Scopus, PubMed, and Science Direct. We included articles that reported systems for controlling a prosthetic leg (with an ankle and/or knee actuator) by decoding gait intent using EMG signals alone or in combination with other sensors. A total of 1,331 papers were initially assessed and 121 were finally included in this systematic review. The literature showed that despite the burgeoning interest in research, controlling a leg prosthesis using EMG signals remains challenging. Specifically, regarding EMG signal quality and stability, electrode placement, prosthetic hardware, and control algorithms, all of which need to be more robust for everyday use. In the studies that were investigated, large variations were found between the control methodologies, type of research participant, recording protocols, assessments, and prosthetic hardware.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinsk bioteknologi -- Annan medicinsk bioteknologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Medical Biotechnology -- Other Medical Biotechnology (hsv//eng)

Nyckelord

pattern recognition
control algorithms
lower limb amputation
Electromyography (EMG)
movement intention recognition
control architecture

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