TY - JOUR
T1 - Intramuscular EMG-Driven Musculoskeletal Modelling
T2 - Towards Implanted Muscle Interfacing in Spinal Cord Injury Patients
AU - Jung, Moon Ki
AU - Muceli, Silvia
AU - Rodrigues, Camila
AU - Megia-Garcia, Alvaro
AU - Pascual-Valdunciel, Alejandro
AU - Del-Ama, Antonio J.
AU - Gil-Agudo, Angel
AU - Moreno, Juan C.
AU - Barroso, Filipe Oliveira
AU - Pons, Jose L.
AU - Farina, Dario
N1 - Publisher Copyright:
© 1964-2012 IEEE.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Objective: Surface EMG-driven modelling has been proposed as a means to control assistive devices by estimating joint torques. Implanted EMG sensors have several advantages over wearable sensors but provide a more localized information on muscle activity, which may impact torque estimates. Here, we tested and compared the use of surface and intramuscular EMG measurements for the estimation of required assistive joint torques using EMG driven modelling. Methods: Four healthy subjects and three incomplete spinal cord injury (SCI) patients performed walking trials at varying speeds. Motion capture marker trajectories, surface and intramuscular EMG, and ground reaction forces were measured concurrently. Subject-specific musculoskeletal models were developed for all subjects, and inverse dynamics analysis was performed for all individual trials. EMG-driven modelling based joint torque estimates were obtained from surface and intramuscular EMG. Results: The correlation between the experimental and predicted joint torques was similar when using intramuscular or surface EMG as input to the EMG-driven modelling estimator in both healthy individuals and patients. Conclusion: We have provided the first comparison of non-invasive and implanted EMG sensors as input signals for torque estimates in healthy individuals and SCI patients. Significance: Implanted EMG sensors have the potential to be used as a reliable input for assistive exoskeleton joint torque actuation.
AB - Objective: Surface EMG-driven modelling has been proposed as a means to control assistive devices by estimating joint torques. Implanted EMG sensors have several advantages over wearable sensors but provide a more localized information on muscle activity, which may impact torque estimates. Here, we tested and compared the use of surface and intramuscular EMG measurements for the estimation of required assistive joint torques using EMG driven modelling. Methods: Four healthy subjects and three incomplete spinal cord injury (SCI) patients performed walking trials at varying speeds. Motion capture marker trajectories, surface and intramuscular EMG, and ground reaction forces were measured concurrently. Subject-specific musculoskeletal models were developed for all subjects, and inverse dynamics analysis was performed for all individual trials. EMG-driven modelling based joint torque estimates were obtained from surface and intramuscular EMG. Results: The correlation between the experimental and predicted joint torques was similar when using intramuscular or surface EMG as input to the EMG-driven modelling estimator in both healthy individuals and patients. Conclusion: We have provided the first comparison of non-invasive and implanted EMG sensors as input signals for torque estimates in healthy individuals and SCI patients. Significance: Implanted EMG sensors have the potential to be used as a reliable input for assistive exoskeleton joint torque actuation.
KW - EMG driven modelling
KW - assistive technology
KW - electromyography
KW - human-machine interface
KW - musculoskeletal model
KW - spinal cord injury
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U2 - 10.1109/TBME.2021.3087137
DO - 10.1109/TBME.2021.3087137
M3 - Article
C2 - 34097604
AN - SCOPUS:85111011857
SN - 0018-9294
VL - 69
SP - 63
EP - 74
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 1
ER -