Electromyography-Based Control of Lower Limb Prostheses: A Systematic Review
Journal article, 2023

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.

pattern recognition

control algorithms

lower limb amputation

Electromyography (EMG)

movement intention recognition

control architecture

Author

Bahareh Ahkami

Center for Bionics and Pain Research

Kirstin Ahmed

Chalmers, Electrical Engineering, Systems and control

Center for Bionics and Pain Research

Alexander Thesleff

Integrum AB

Center for Bionics and Pain Research

Levi Hargrove

Northwestern University

Shirley Ryan AbilityLab

Max Jair Ortiz Catalan

Chalmers, Electrical Engineering, Systems and control

Sahlgrenska University Hospital

Center for Bionics and Pain Research

Bionics Institute

IEEE Transactions on Medical Robotics and Bionics

25763202 (eISSN)

Vol. 5 3 547-562

Subject Categories

Other Medical Biotechnology

DOI

10.1109/TMRB.2023.3282325

More information

Latest update

4/16/2024