Imperial College London
Portrait Picture

ProfessorDarioFarina

Faculty of Engineering, Department of Bioengineering

Chair in Neurorehabilitation Engineering
 
 
 
//

Contact

 

+44 (0)20 7594 1387d.farina Website

 
 
//

Location

 

RSM 4.15Royal School of MinesSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Jung:2021:10.1109/TBME.2021.3087137,
author = {Jung, MK and Muceli, S and Rodrigues, C and Megia-Garcia, A and Pascual, Valdunciel A and Del-Ama, AJ and Gil-Agudo, A and Moreno, JC and Barroso, F and Pons, JL and Farina, D},
doi = {10.1109/TBME.2021.3087137},
journal = {IEEE Transactions on Biomedical Engineering},
pages = {63--74},
title = {Intramuscular EMG-driven musculoskeletal modelling: towards implanted muscle interfacing in spinal cord injury patients},
url = {http://dx.doi.org/10.1109/TBME.2021.3087137},
volume = {69},
year = {2021}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
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.
AU  - Jung,MK
AU  - Muceli,S
AU  - Rodrigues,C
AU  - Megia-Garcia,A
AU  - Pascual,Valdunciel A
AU  - Del-Ama,AJ
AU  - Gil-Agudo,A
AU  - Moreno,JC
AU  - Barroso,F
AU  - Pons,JL
AU  - Farina,D
DO  - 10.1109/TBME.2021.3087137
EP  - 74
PY  - 2021///
SN  - 0018-9294
SP  - 63
TI  - Intramuscular EMG-driven musculoskeletal modelling: towards implanted muscle interfacing in spinal cord injury patients
T2  - IEEE Transactions on Biomedical Engineering
UR  - http://dx.doi.org/10.1109/TBME.2021.3087137
UR  - https://www.ncbi.nlm.nih.gov/pubmed/34097604
UR  - https://ieeexplore.ieee.org/document/9447935
UR  - http://hdl.handle.net/10044/1/90198
VL  - 69
ER  -
Download