Methods for dynamic characterization of the major muscles activating the lower limb joints in cycling motion
Author(s) -
Navit Roth,
Avi Wiener,
J. Mizrahi
Publication year - 2014
Publication title -
european journal of translational myology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.271
H-Index - 6
eISSN - 2037-7460
pISSN - 2037-7452
DOI - 10.4081/ejtm.2014.3317
Subject(s) - ankle , isometric exercise , inverse dynamics , kinematics , torque , functional electrical stimulation , ground reaction force , exoskeleton , gait , physical medicine and rehabilitation , joint (building) , stimulation , computer science , control theory (sociology) , anatomy , physics , simulation , structural engineering , medicine , physical therapy , engineering , neuroscience , classical mechanics , biology , control (management) , artificial intelligence , thermodynamics
The functional activation, through electrical stimulation, of the lower limb consisting of several deficient muscles requires well-patterned and coordinated activation of these muscles. This study presents a method for characterizing the parameters of the major muscle groups controlling the ankle and knee joints in cycling motion, the latter having particular significance in the rehabilitation of locomotion. To lower mechanical indeterminacy in the joints the system is reduced by grouping the muscles acting in synergism. The joint torques were calculated by inverse dynamics methods from cycling motion data, including kinematics and foot/pedal reaction loads (forces, moments). The mechanical indeterminacy was resolved by applying optimization criteria and the individual muscle torques were parceled-out from the joint torques. System identification of the individual muscles, part of which being bi-articular, in this non-isometric condition was performed from the relationship between the evaluated force and the measured EMG of each the muscles, using both first and second order linear transfer functions. Feasibility of the presented method was demonstrated through the computation of the coefficients of the muscles involved and validating the results on the experimental data obtained from one subject
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