TY - JOUR
T1 - Consensus for experimental design in electromyography (CEDE) project
T2 - Application of EMG to estimate muscle force
AU - J. M. Dick, Taylor
AU - Tucker, Kylie
AU - Hug, François
AU - Besomi, Manuela
AU - van Dieën, Jaap H.
AU - Enoka, Roger M.
AU - Besier, Thor
AU - Carson, Richard G.
AU - Clancy, Edward A.
AU - Disselhorst-Klug, Catherine
AU - Falla, Deborah
AU - Farina, Dario
AU - Gandevia, Simon
AU - Holobar, Aleš
AU - Kiernan, Matthew C.
AU - Lowery, Madeleine
AU - McGill, Kevin
AU - Merletti, Roberto
AU - Perreault, Eric
AU - Rothwell, John C.
AU - Søgaard, Karen
AU - Wrigley, Tim
AU - Hodges, Paul W.
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/6/14
Y1 - 2024/6/14
N2 - Skeletal muscles power movement. Deriving the forces produced by individual muscles has applications across various fields including biomechanics, robotics, and rehabilitation. Since direct in vivo measurement of muscle force in humans is invasive and challenging, its estimation through non-invasive methods such as electromyography (EMG) holds considerable appeal. This matrix, developed by the Consensus for Experimental Design in Electromyography (CEDE) project, summarizes recommendations on the use of EMG to estimate muscle force. The matrix encompasses the use of bipolar surface EMG, high density surface EMG, and intra-muscular EMG (1) to identify the onset of muscle force during isometric contractions, (2) to identify the offset of muscle force during isometric contractions, (3) to identify force fluctuations during isometric contractions, (4) to estimate force during dynamic contractions, and (5) in combination with musculoskeletal models to estimate force during dynamic contractions. For each application, recommendations on the appropriateness of using EMG to estimate force and justification for each recommendation are provided. The achieved consensus makes clear that there are limited scenarios in which EMG can be used to accurately estimate muscle forces. In most cases, it remains important to consider the activation as well as the muscle state and other biomechanical and physiological factors— such as in the context of a formal mechanical model. This matrix is intended to encourage interdisciplinary discussions regarding the integration of EMG with other experimental techniques and to promote advances in the application of EMG towards developing muscle models and musculoskeletal simulations that can accurately predict muscle forces in healthy and clinical populations.
AB - Skeletal muscles power movement. Deriving the forces produced by individual muscles has applications across various fields including biomechanics, robotics, and rehabilitation. Since direct in vivo measurement of muscle force in humans is invasive and challenging, its estimation through non-invasive methods such as electromyography (EMG) holds considerable appeal. This matrix, developed by the Consensus for Experimental Design in Electromyography (CEDE) project, summarizes recommendations on the use of EMG to estimate muscle force. The matrix encompasses the use of bipolar surface EMG, high density surface EMG, and intra-muscular EMG (1) to identify the onset of muscle force during isometric contractions, (2) to identify the offset of muscle force during isometric contractions, (3) to identify force fluctuations during isometric contractions, (4) to estimate force during dynamic contractions, and (5) in combination with musculoskeletal models to estimate force during dynamic contractions. For each application, recommendations on the appropriateness of using EMG to estimate force and justification for each recommendation are provided. The achieved consensus makes clear that there are limited scenarios in which EMG can be used to accurately estimate muscle forces. In most cases, it remains important to consider the activation as well as the muscle state and other biomechanical and physiological factors— such as in the context of a formal mechanical model. This matrix is intended to encourage interdisciplinary discussions regarding the integration of EMG with other experimental techniques and to promote advances in the application of EMG towards developing muscle models and musculoskeletal simulations that can accurately predict muscle forces in healthy and clinical populations.
KW - Consensus
KW - Electromyography
KW - Motor unit
KW - Muscle force
UR - http://www.scopus.com/inward/record.url?scp=85199783231&partnerID=8YFLogxK
U2 - 10.1016/j.jelekin.2024.102910
DO - 10.1016/j.jelekin.2024.102910
M3 - Journal article
C2 - 39069427
AN - SCOPUS:85199783231
SN - 1050-6411
JO - Journal of Electromyography and Kinesiology
JF - Journal of Electromyography and Kinesiology
M1 - 102910
ER -