A forward-muscular inverse-skeletal dynamics framework for human musculoskeletal simulations.
This study provides a forward-muscular inverse-skeletal dynamics framework for musculoskeletal simulations. The simulation framework works based on solving the muscle redundancy problem forward in time parallel to a torque tracking between the musculotendon net torques and joint moments from inverse dynamics. The proposed framework can be used by any musculoskeletal modeling software package; however, just to exemplify, here in this study it is wrapped around OpenSim and the optimization is done in MATLAB. The novel simulation framework was highly robust for repeated runs and produced relatively high correlations between predicted muscle excitations and experimental EMGs for level gait trials. This simulation framework represents an efficient and robust approach to predict muscle excitation, musculotendon unit force, and to estimate net joint torque.
School of Rehabilitation Sciences, University of Ottawa, Ottawa, Ontario, Canada; Department of Mechanical Engineering, University of Ottawa, Ottawa, Ontario, Canada. Electronic address: msharifs@uottawa.ca.
Mohammad
M
S Shourijeh
School of Human Kinetics, University of Ottawa, Ottawa, Ontario, Canada.
Kenneth B
KB
Smale
Department of Mechanical Engineering, University of Ottawa, Ottawa, Ontario, Canada.
Brigitte M
BM
Potvin
School of Rehabilitation Sciences, University of Ottawa, Ottawa, Ontario, Canada; Department of Mechanical Engineering, University of Ottawa, Ottawa, Ontario, Canada; School of Human Kinetics, University of Ottawa, Ottawa, Ontario, Canada.
Daniel L
DL
Benoit
D000328:Adult; D003198:Computer Simulation; D005684:Gait / Q000502:physiology; D006801:Humans; D008297:Male; D008954:Models, Biological; D018482:Muscle, Skeletal / Q000502:physiology*; D019415:Torque; D055815:Young Adult
EMG-driven modeling; Forward-inverse dynamics; Muscle redundancy; Musculoskeletal modeling; Musculotendon dynamics; Simulation