Abstract
Human movement biomechanical analyses are considered as an essential tool in the clinical management and basic research of neurological and orthopedic conditions. Also, application of a biomechanical model for the estimation of the activity of muscles during rehabilitation training sessions could assist therapists to conduct personalized rehabilitation therapy and understand inter muscle dynamics of body part motions. In this paper, we propose a subject-specific neuromusculoskeletal (NMS) prediction model for the estimation of individual muscle forces during elbow extension and flexion. The NMS model was established by initial guesses and then the parameters of muscles were optimized and modified using the surface electromyography (sEMG) signals and motion data. Then specific muscles forces were predicted using the subject-specific NMS model during elbow flexion and extension. The results show geat accuracy and reliability of the optimized NMS model. This subject-specific NMS model by merging sEMG signals and motion data together, shows great potential to provide an improvement to quantitatively assess upper limb function and improve diagnosis and management of both neurological and orthopaedic conditions in rehabilitation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
