期刊
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
卷 69, 期 1, 页码 63-74出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2021.3087137
关键词
EMG driven modelling; musculoskeletal model; electromyography; assistive technology; human-machine interface; spinal cord injury
资金
- European Union's Horizon 2020 Research and Innovation program Project EXTEND-Bidirectional Hyper-Connected Neural System [779982]
This study compared the performance of surface EMG and intramuscular EMG in estimating the required joint torques for assistive devices. The results showed that there was a similar correlation between the experimental and predicted joint torques when using either surface or intramuscular EMG as input signals in both healthy individuals and SCI patients.
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.
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