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

作者: Luciano L. Menegaldo , Liliam F. Oliveira

DOI: 10.1007/S11044-011-9273-8

关键词: Nonlinear systemAnkleRoot-mean-square deviationTorqueIsometric exerciseSignalMathematicsScale (ratio)SimulationDynamometer

摘要: This paper discusses some methodological questions regarding the application of EMG-driven models to estimate muscle forces, for triceps surae performing isometric contractions. Ankle torque is estimated from a Hill-type model driven by EMG data, collected three components and tibialis anterior. joint synchronously dynamometer, which compared sum each force multiplied respective ankle moment arm. A protocol consisting two steps low medium/high loads used. Raw signal processed used as input model. The difference between simulated dynamometer measured calculated RMS error curves. set nominal parameters initially chosen literature (e.g., OpenSim), allows observing characteristics distribution. One possibility improve accuracy using individual parameters. We investigated effect applying simple scale factors ultrasound estimating maximum force. Other improvements are also addressed, such nonlinear formulation activation dynamics variable pennation angle. Surface signals acquisition processing can affect estimation accuracy. Electrodes positioning influence amplitude, one-channel may not represent actual excitation whole muscle. have shown that high density reduces, in cases, error.

参考文章(51)
J J Woods, B Bigland-Ritchie, Linear and non-linear surface EMG/force relationships in human muscles. An anatomical/functional argument for the existence of both. American journal of physical medicine. ,vol. 62, pp. 287- 299 ,(1983)
M.P.T. Silva, J.A.C. Ambrósio, Kinematic Data Consistency in the Inverse Dynamic Analysis of Biomechanical Systems Multibody System Dynamics. ,vol. 8, pp. 219- 239 ,(2002) , 10.1023/A:1019545530737
Liliam F. de Oliveira, Luciano L. Menegaldo, Input error analysis of an EMG-driven muscle model of the plantar flexors. Acta of Bioengineering and Biomechanics. ,vol. 14, pp. 75- 81 ,(2012)
M.A. Cavalcanti Garcia, T.M. M. Vieira, Surface electromyography: Why, when and how to use it Revista Portuguesa De Pneumologia. ,vol. 4, pp. 17- 28 ,(2011)
Felix E. Zajac, Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control Critical Reviews in Biomedical Engineering. ,vol. 17, pp. 359- 411 ,(1989)
L.F. Olivera, Roberto Merletti, T.M.M. Vieira, L. Menegaldo, Can the use of a high density EMG system improve a biomechanical model for predicting ankle plantar flexors force XXII Congress of the International Society of Biomechanics. ,(2009)
Joseph Langenderfer, Suzanne LaScalza, Amy Mell, James E. Carpenter, John E. Kuhn, Richard E. Hughes, An EMG-driven model of the upper extremity and estimation of long head biceps force. Computers in Biology and Medicine. ,vol. 35, pp. 25- 39 ,(2005) , 10.1016/J.COMPBIOMED.2003.12.002
Carlo L Bottasso, Boris I Prilutsky, Alessandro Croce, Enrico Imberti, Stefano Sartirana, None, A numerical procedure for inferring from experimental data the optimization cost functions using a multibody model of the neuro-musculoskeletal system Multibody System Dynamics. ,vol. 16, pp. 123- 154 ,(2006) , 10.1007/S11044-006-9019-1
C.R. Winby, D.G. Lloyd, T.B. Kirk, Evaluation of different analytical methods for subject-specific scaling of musculotendon parameters Journal of Biomechanics. ,vol. 41, pp. 1682- 1688 ,(2008) , 10.1016/J.JBIOMECH.2008.03.008
Dennis E. Anderson, Michael L. Madigan, Maury A. Nussbaum, Maximum voluntary joint torque as a function of joint angle and angular velocity: Model development and application to the lower limb Journal of Biomechanics. ,vol. 40, pp. 3105- 3113 ,(2007) , 10.1016/J.JBIOMECH.2007.03.022