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

• Autorzy: de Oliviera L.F. , Menegaldo L.L.
• Języki publikacji: EN

Abstrakty

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.

Słowa kluczowe

EN

ankle joint; Hill-type muscle model; muscle synergies; triceps surae; EMG-driven models

PL

staw skokowy; model mięśni; synergia mięśniowa; EMG-modele z napędem

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Acta of Bioengineering and Biomechanics
• Rocznik: 2012
• Tom: Vol. 14, no. 2
• Strony: 75--81
• Opis fizyczny: Bibliogr. 36 poz., rys., tab.

Twórcy

autor

de Oliviera L.F.

autor

Menegaldo L.L.

• School of Physical Education and Sports, Federal University of Rio de Janeiro, Brazil

Bibliografia

• [1] FARINA D., MERLETTI R., ENOKA R., The extraction of neural strategies from the surface EMG, Journal of Applied Physiology, 2004, 96, 1486–1495.
• [2] MERLETTI R., PARKER P., Electromyography: Physiology, Engineering and Noninvasive Applications, Wiley, IEEE Engineering in Medical and Biology Society, 2004.
• [3] ISHIKAWA I., NIEMELII E., KOMI, Interaction between fascicle and tendinous tissues in short-contact stretch-shortening cycle exercise with varying eccentric intensities, Journal of Applied Physiology, 2005, 99, 217–223.
• [4] WAKELING J.M., The recruitment of different compartments within a muscle depends on the mechanics of the movement, Biology Letters, 2009, 5, 30–34.
• [5] STAUDENMANN D., KINGMA I., STEGEMAN D.F., van DIEEN J.H., Towards optimal multi-channel EMG electrode configurations in muscle force estimation: a high-density EMG study, Journal of Electromyography and Kinesiology, 2005, 15, 1–11.
• [6] TROIANO A., NADDEO F., SOSSO E., CAMAROTA G., MERLETTI R., MESIN L., EMG signal and perceived exertion scale, Gait and Posture, 2008, 28, 179–186.
• [7] BUCHANAN T., LLOYD D.G., MANAL K., BESIER T.F., Neuromusculoskeletal modelling: Estimation of muscle forces and joint moments and movements of neural command, Journal of Applied Physiology, 2004, 20, 367–395.
• [8] HOF A.L., PRONK C.N.A., van BEST J.A., Comparison between EMG to force processing and kinetic analysis for the calf muscle moment in walking and stepping, Journal of Biomechanics, 1987, 20, 167–178.
• [9] HOF A.L., van den BERG J., EMG to force processing II: Estimation of parameters of the Hill muscle model for the human triceps surae by means of a calfergometer, Journal of Biomechanics, 1981, 14, 759–761.
• [10] ERDEMIR A., McLEAN S., HERZOG W., van den BOGERT A.J., Model-based estimation of muscle forces exerted during movements, Clinical Biomechanics, 2007, 22, 131–154.
• [11] KOO T.K., MAK A.F., Feasibility of using EMG driven neuromusculoskeletal model for prediction of dynamic movement of the elbow, Journal of Electromyography and Kinesiology, 2005, 15, 12–26.
• [12] PIAZZA S.J., DELP S.L., The influence of muscles on knee flexion during the swing phase of gait. Journal of Biomechanics, 1996, 29, 723–733.
• [13] LANGENDERFER J., LASCALZA S., MELL A., CARPENTER J.E., KUHN J.E., HUGHES R.E., An EMG-driven model of the upper extremity and estimation of long head biceps force, Computational Biology and Medicine, 2005, 35, 25–39.
• [14] LLOYD D.G., BESIER T.F., An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo, Journal of Biomechanics, 2003, 36, 765–776.
• [15] BARRET R.S., BESIER T.F., LLOYD D.G., Individual muscle contributions to the swing phase of gait: An EMG-based forward dynamics modelling approach, Simulation Modelling Practice and Theory, 2007, 15, 1146–1155.
• [16] MENEGALDO L.L., OLIVEIRA L.F., Effect of muscle model parameter scaling for isometric plantar flexion torque prediction, Journal of Biomechanics, 2009, 42, 15, 2597–2601.
• [17] ZAJAC F.E., Muscle and tendon: Properties, models, scaling, and application to biomechanics and motor control, CRC Critical Reviews in Biomedical Engineering, 1989, 17, 359–411.
• [18] SCHUTTE L.M., RODGERS M.M., ZAJAC F.E., Improving the efficacy of electrical simulation-induced leg cycle ergometry: an analysis based on a dynamic musculoskeletal model, IEEE Transactions on Rehabilitation Engineering, 1993, 1, 109–125.
• [19] ARNT A.N., KOMI, BRUGGEMANN G., LUKKARINIEMI J., Individual muscle contributions to the Achilles tendon force, Clinical Biomechanics, 1998, 13, 532–541.
• [20] DELP S.L., LOAN J.P., ROY M.G., ZAJAC F.E., TOPP E.L., ROSEN J.M., An interactive graphics-based model of the lower extremity to study orthopedic surgical procedures, IEEE Transactions on Biomedical Engineering, 1990, 37, 757–767.
• [21] LEGRENEUR, MORLON B., van HOECKE J., Simulation of in situ soleus isometric force output as a function of neural excitation, Journal of Biomechanics, 1996, 29, 1455–1462.
• [22] STAUDENMANN D., KINGMA I., DAFFERTSHOFER A., STEGEMAN D.F., van DIEEN J.H., Heterogeneity of muscle activation in relation to force direction: A multi-channel surface electromyography study on the triceps surae muscle, Journal of Electromyography and Kinesiology, 2009, 19, 882–895.
• [23] FRERIKS B., HERMENS H.J., DISSELHORST-KLUG C., RAU G., The recommendations for signal processing methods for surface electromyography [in:] Hermens H.J., Freriks B., Merletti R., Stegeman D., Blok J., Rau G., Disselhorst-Klug C., Hâag G. Enschede, European recommendations for surface electromyography – SENIAM Project, Ed: Roessingh Research and Development, 1999.
• [24] MENEGALDO L.L., FLEURY A.T., WEBER H.I., Moment arms and musculotendon lengths estimation for a threedimensional lower-limb model, Journal of Biomechanics, 2004, 37, 1447–1453.
• [25] DELP S.L., ANDERSON F.C., ARNOLD A.S., LOAN HABIB A., JOHN C., GUENDELMAN E., THELEN D.G., OpenSim: Opensource software to create and analyze dynamic simulations of movement, IEEE Transactions on Biomedical Engineering, 2007, 54, 1940–1950.
• [26] WARD S.R., ENG C.M., SMALLWOOD L.H., LIEBER R.L., Are current measurements of lower extremity muscle architecture accurate? Clinical Orthopaedics and Related Research, 2009, 467, 1074–1082.
• [27] HOF A.L., The relationship between electromyogram and muscle force, Sportverletzun Sportschaden, 1997, 11, 79–86.
• [28] KINUGASA R., KAWAKAMI Y., FUKUNAGA T., Muscle activation and its distribution within human triceps surae muscles, Journal of Applied Physiology, 2005, 99, 1149–1156.
• [29] VIEIRA T.M.M., MERLETTI R., Trade-off and coactivation between gastrocnemii during a quiet standing test: preliminary results, XVIII Congress of the International Society of Electrophysiology and Kinesiology, Niagara Falls, Proceedings ISEK, 2008.
• [30] OLIVEIRA L.F., VIEIRA T.M., MENEGALDO L.L., MERLETTI R.M., 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, Capetown, South Africa, Proceedings of ISB2009, 2009.
• [31] MERLETTI R., HOLOBAR A., FARINA D., Analysis of motor units with high-density electromyography, Journal of Electromyography and Kinesiology, 2008, 18, 879–890.
• [32] KARAMANIDIS K., STAFILIDIS S., DEMONTE G., MOREYKLAPSING G., BRUGGEMANN G., ARAMPATZIS A., Inevitable joint angular rotation affects muscle architecture during isometric contraction, Journal of Electromyography and Kinesiology, 2005, 15, 608–616.
• [33] KAWAKAMI Y., ICHINOSE Y., FUKUNAGA T., Architectural and functional features of human triceps surae muscles during contraction, Journal of Applied Physiology, 1998, 85, 398–404.
• [34] MAGNUSSON S., AAGAARD , ROSAGER S., DYHRE-POULSEN , KJAER M., Load–displacement properties of the human triceps surae aponeurosis in vivo, Journal of Physiology, 2001, 53, 277–288.
• [35] WINTERS J.M., Concepts in neuro-muscular modeling [in:] Allard, Stokes I.A.F., Blanchi J., Three-Dimensional Analysis of Human Movement, Champaign, IL: Human Kinetics, 1995, 257–92.
• [36] OLIVEIRA L.F., MENEGALDO L.M., Individual-specific muscle maximum force estimation using ultrasound for ankle joint torque prediction using an EMG-driven Hill-type model, Journal of Biomechanics, 2010, 43, 2816–2821.