NDLI: The influence of modeling hypothesis and experimental methodologies in the accuracy of muscle force estimation using EMG-driven models

Content Provider	Springer Nature Link
Author	Menegaldo, Lucia L. Oliveira, Liliam F.
Copyright Year	2011
Abstract	This paper discusses some methodological questions regarding the application of EMG-driven models to estimate muscle forces, for the triceps surae performing isometric contractions. Ankle torque is estimated from a Hill-type muscle model driven by EMG data, collected from the three components of triceps surae and tibialis anterior. Ankle joint torque is synchronously collected from a dynamometer, which is compared to the sum of each muscle force multiplied by the respective ankle moment arm. A protocol consisting of two steps of low and medium/high loads is used. Raw EMG signal is processed and used as the input signal for the muscle model. The difference between simulated and dynamometer measured torque is calculated as the RMS error between the two curves. A set of nominal muscle model parameters is initially chosen from literature (e.g., OpenSim), which allows observing the characteristics of the error distribution. One possibility to improve model accuracy is using individual muscle parameters. We investigated the effect of applying simple scale factors to the nominal muscle model parameters and using ultrasound for estimating muscle maximum force. Other questions regarding muscle model improvements are also addressed, such as using a nonlinear formulation of activation dynamics and variable pennation angle. Surface EMG signals acquisition and processing can also affect force estimation accuracy. Electrodes positioning can influence signal amplitude, and the one-channel EMG may not represent actual excitation for the whole muscle. We have shown that high density EMG reduces, in some cases, the torque estimation error.
Starting Page	21
Ending Page	36
Page Count	16
File Format	PDF
ISSN	13845640
Journal	Multibody System Dynamics
Volume Number	28
Issue Number	1-2
e-ISSN	1573272X
Language	English
Publisher	Springer Netherlands
Publisher Date	2011-11-10
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Muscle biomechanics EMG-driven models Triceps surae Plantar flexion Vibration, Dynamical Systems, Control Optimization Mechanical Engineering Electrical Engineering Automotive Engineering
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Mechanical Engineering Aerospace Engineering Modeling and Simulation Computer Science Applications

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