Prosthetic Myoelectric Control Strategies: A Clinical Perspective

Aidan D. Roche; Hubertus Rehbaum; Dario Farina; Oskar C. Aszmann

doi:10.1007/s40137-013-0044-8

Prosthetic Myoelectric Control Strategies: A Clinical Perspective

Aidan D. Roche, Hubertus Rehbaum, Dario Farina, Oskar C. Aszmann

Deanery of Clinical Sciences

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

Control algorithms for upper limb myoelectric prostheses have been in development since the mid-1940s. Despite advances in computing power and in the performance of these algorithms, clinically available prostheses are still based on the earliest control strategies. The aim of this review paper is to detail the development, advantages and disadvantages of prosthetic control systems and to highlight areas that are current barriers for the transition from laboratory to clinical practice. Current surgical strategies and future research directions to achieve multifunctional control will also be discussed. The findings from this review suggest that regression algorithms may offer an alternative feed-forward approach to direct and pattern recognition control, while virtual rehabilitation environments and tactile feedback could improve the overall prosthetic control.

Original language	English
Journal	Current surgery reports
DOIs	https://doi.org/10.1007/s40137-013-0044-8
Publication status	Published - Mar 2014

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title = "Prosthetic Myoelectric Control Strategies: A Clinical Perspective",

abstract = "Control algorithms for upper limb myoelectric prostheses have been in development since the mid-1940s. Despite advances in computing power and in the performance of these algorithms, clinically available prostheses are still based on the earliest control strategies. The aim of this review paper is to detail the development, advantages and disadvantages of prosthetic control systems and to highlight areas that are current barriers for the transition from laboratory to clinical practice. Current surgical strategies and future research directions to achieve multifunctional control will also be discussed. The findings from this review suggest that regression algorithms may offer an alternative feed-forward approach to direct and pattern recognition control, while virtual rehabilitation environments and tactile feedback could improve the overall prosthetic control.",

author = "Roche, {Aidan D.} and Hubertus Rehbaum and Dario Farina and Aszmann, {Oskar C.}",

year = "2014",

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AU - Rehbaum, Hubertus

AU - Farina, Dario

AU - Aszmann, Oskar C.

PY - 2014/3

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N2 - Control algorithms for upper limb myoelectric prostheses have been in development since the mid-1940s. Despite advances in computing power and in the performance of these algorithms, clinically available prostheses are still based on the earliest control strategies. The aim of this review paper is to detail the development, advantages and disadvantages of prosthetic control systems and to highlight areas that are current barriers for the transition from laboratory to clinical practice. Current surgical strategies and future research directions to achieve multifunctional control will also be discussed. The findings from this review suggest that regression algorithms may offer an alternative feed-forward approach to direct and pattern recognition control, while virtual rehabilitation environments and tactile feedback could improve the overall prosthetic control.

AB - Control algorithms for upper limb myoelectric prostheses have been in development since the mid-1940s. Despite advances in computing power and in the performance of these algorithms, clinically available prostheses are still based on the earliest control strategies. The aim of this review paper is to detail the development, advantages and disadvantages of prosthetic control systems and to highlight areas that are current barriers for the transition from laboratory to clinical practice. Current surgical strategies and future research directions to achieve multifunctional control will also be discussed. The findings from this review suggest that regression algorithms may offer an alternative feed-forward approach to direct and pattern recognition control, while virtual rehabilitation environments and tactile feedback could improve the overall prosthetic control.

U2 - 10.1007/s40137-013-0044-8

DO - 10.1007/s40137-013-0044-8

M3 - Article

SN - 2167-4817

JO - Current surgery reports

JF - Current surgery reports

ER -

Prosthetic Myoelectric Control Strategies: A Clinical Perspective

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