Objective measurement of knee extension force based on computer adaptive testing

Wiener, Avi; Marcus, Etgar; Mizrahi, J.

doi:10.1016/j.jelekin.2005.12.004

“…A friction-loaded cycle ergometer (Monark type 818E, Stockholm, Sweden) was equipped with an optical encoder module for crank angle measurement and cycling kinematics (US Digital type HEDS-9040-B00, WA, USA with separate disk assembly). The pedals were instrumented with multi-component strain gauge dynamometers, 12 , 19 for pedal load (force and moment) measurement. National Instrument’s SCC-SG24 Wheatstone Full bridge module on line collected the signals from pedals.…”

Section: Methodsmentioning

confidence: 99%

Methods for dynamic characterization of the major muscles activating the lower limb joints in cycling motion

Roth

¹

,

Wiener

²

,

Mizrahi

³

2014

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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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“…Ergometer equipped with optical encoder and force transducers A friction-loaded cycle ergometer (Monark type 818E, Stockholm, Sweden) was equipped with an optical encoder module for crank angle measurement and cycling kinematics (US Digital type HEDS-9040-B00, WA, USA with separate disk assembly). The pedals were instrumented with multi-component strain gauge dynamometers, 12,19 for pedal load (force and moment) measurement. National Instrument's SCC-SG24 Wheatstone Full bridge module on line collected the signals from pedals.…”

Section: Methodsmentioning

confidence: 99%

Methods for dynamic characterization of the major muscles activating the lower limb joints in cycling motion

Roth

¹

,

Wiener

²

,

Mizrahi

³

2014

Self Cite

View full text Add to dashboard Cite

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.

show abstract