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Input error analysis of an EMG-driven muscle model of the plantar flexors

de Oliviera L.F., Menegaldo L.L.

Acta of Bioengineering and Biomechanics

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2012

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Vol. 14, no. 2

75-81

EN

EMG is a useful tool for quantifying muscle forces and studying motor control strategies. However, the relationship between EMG and muscle force is not trivial, and depends in part on muscle dynamics. This work has the following objectives: the first, to find muscle excitations and partial joint torque contribution patterns in isometric plantar flexions, considering low and medium/high contractions. The second, to correlate such patterns with an EMG-driven muscle model error, indirectly assessed by the associate joint torques. Individual muscle contributions were calculated using the model driven by the measured EMG and compared to the total joint torque from dynamometric measurements. Thirteen young males performed a protocol with low and medium/high intensities contractions. Input functions were the normalized EMG of each triceps surae and tibialis anterior muscles. RMS error was calculated between the measured and estimated torque curves. The trends observed were: the order of individual muscle contributions to the total torque (SOL, GM, GL) was different from the order of the contraction intensities (GM, SOL, GL); the model was more accurate for medium/high contractions; the worst estimations occurred when excitation input signals found from EMG were underestimated. Possible causes for such errors and improvement suggestions are addressed.

2

The necessity of physiological muscle parameters for computing the muscle forces: application to lower extremity loading during pedalling

Čadová M., Vilímek M.

Acta of Bioengineering and Biomechanics

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2009

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Vol. 11, nr 3

59-64

EN

The aim of this study is to determine how the use of physiological parameters of muscles is important. This work is focused on musculoskeletal loading analysis during pedalling adopting two approaches: without (1) and with (2) the use of physiological parameters of muscles. The static-optimization approach together with the inverse dynamics problem makes it possible to obtain forces in individual muscles of the lower extremity. Input kinematics variables were examined in a cycling experiment. The significant difference in the resultant forces in one-joint and two-joint muscles using the two different approaches was observed.

3

Mathematical Modelling of Muscle Effect on the Kinematics of the Head-Neck Complex in a Frontal Car Collision: A Parameter Study

Wittek A., Kajzer J.

International Journal of Occupational Safety and Ergonomics

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1998

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Vol. 4, No. 2

201--220

EN

A 2-dimensional multibody model of the head-neck complex with muscle elements was developed to estimate the influence of muscles on the kinematics of the head-neck complex in a frontal car collision. With this model the authors evaluated how strongly the calculated influence of muscles depends on 3 important factors: (a) impact severity, (b) reflex time, and (c) parameters that determine characteristics of different components of the muscle model. When muscles were triggered at the beginning of impact, the maximum angle of the head flexion was decreased by the muscles by 40% in a frontal collision with an acceleration of 15 g. The influence of muscles was significant for reflex times lower than 60 (80) ms. The calculated influence of muscles was not sensitive to most parameters of the muscle model.