Advertisement
Research Article| Volume 17, ISSUE 5, P390-399, June 2002

In vivo determination of subject-specific musculotendon parameters: applications to the prime elbow flexors in normal and hemiparetic subjects

      Abstract

      Objective. This study aimed at estimating the musculotendon parameters of the prime elbow flexors in vivo for both normal and hemiparetic subjects.
      Design. A neuromusculoskeletal model of the elbow joint was developed incorporating detailed musculotendon modeling and geometrical modeling.
      Background. Neuromusculoskeletal modeling is a valuable tool in orthopedic biomechanics and motor control research. However, its reliability depends on reasonable estimation of the musculotendon parameters. Parameter estimation is one of the most challenging aspects of neuromusculoskeletal modeling.
      Methods. Five normal and five hemiparetic subjects performed maximum isometric voluntary flexion at nine elbow positions (0°–120° of flexion with an increment of 15°). Maximum flexion torques were measured at each position. Computational optimization was used to search for the musculotendon parameters of four prime elbow flexors by minimizing the root mean square difference between the predicted and the experimentally measured torque-angle curves.
      Results. The normal group seemed to have larger maximum muscle stress values as compared to the hemiparetic group. Although the functional ranges of each selected muscle were different, they were all located at the ascending limb of the force–length relationship. The muscle optimal lengths and tendon slack lengths found in this study were comparable to other cadaver studies reported in the literature.
      Conclusion. Subject-specific musculotendon parameters could be properly estimated in vivo.Relevance
      Estimation of subject-specific musculotendon parameters for both normal and hemiparetic subjects would help clinicians better understand some of the effects of this pathological condition on the musculoskeletal system.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Clinical Biomechanics
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Lieber R.L.
        • Friden J.
        Functional and clinical significance of skeletal muscle architecture.
        Muscle Nerve. 2000; 23: 1647-1666
        • Zajac F.E.
        Muscles and tendon: properties, models, scaling, and application to biomechanics and motor control.
        CRC Crit. Rev. Biomed. Eng. 1989; 17: 359-411
        • Gans C.
        Fiber architecture and muscle function.
        Exerc. Sport. Sci. Rev. 1982; 10: 160-207
        • Delp S.L.
        • Zajac F.E.
        Force- and moment-generating capacity of lower-extremity muscles before and after tendon lengthening.
        Clin. Orthop. 1992; 284: 247-259
        • Delp S.L.
        • Ringwelski D.A.
        • Carroll N.C.
        Transfer of the rectus femoris: effects of transfer siter on moment arms about the knee and hip.
        J. Biomech. 1994; 27: 1201-1211
        • Delp S.L.
        • Statler K.
        • Carroll N.C.
        Preserving plantar flexion strength after surgical treatment for contracture of the triceps surae: a computer simulation study.
        J. Orthop. Res. 1994; 13: 96-104
        • Giat Y.
        • Mizrahi J.
        • Levine W.S.
        • Chen J.
        Simulation of distal tendon transfer of the biceps brachii and the brachialis muscles.
        J. Biomech. 1994; 27: 1005-1014
        • Lemay M.A.
        • Crago P.E.
        A dynamic model for simulating movements of the elbow, forearm, and wrist.
        J. Biomech. 1996; 29: 1319-1330
        • Schutte L.M.
        • Hayden S.W.
        • Gages J.R.
        Lengths of hamstrings and psoas muscles during crouch gait: effects of femoral anteversion.
        J. Orthop. Res. 1997; 15: 615-621
        • An K.N.
        • Kaufman K.R.
        • Chao E.Y.S.
        Physiological considerations of muscle force through the elbow joint.
        J. Biomech. 1989; 22: 249-1256
        • Buchanan T.S.
        • Moniz M.J.
        • Dewald J.P.A.
        • Rymer Z.W.
        Estimation of muscle forces about the wrist joint during isometric tasks using an EMG coefficient method.
        J. Biomech. 1993; 26: 547-560
        • Van Zuylen E.J.
        • Van Velzen A.
        • Van Der Gon J.J.D.
        A biomechanical model for flexion torques of human arm muscles as a function of elbow angle.
        J. Biomech. 1988; 21: 183-190
      1. Giat Y. Prediction of muscular synergism and antagonism of human upper extremity––a dynamic optimization approach. PhD dissertation, University of Maryland, College Park, USA, 1990

        • Gonzalez R.V.
        • Hutchins E.L.
        • Barr R.E.
        • Abraham L.D.
        Development and evaluation of a musculoskeletal model of the elbow joint complex.
        Trans. ASME J. Biomech. Eng. 1996; 118: 32-40
        • Pandy M.G.
        • Zajac F.E.
        • Sim E.
        • Levine W.
        An optimal control model for maximum-height human jumping.
        J. Biomech. 1990; 23: 1185-1198
        • Gonzalez R.V.
        • Buchanan T.S.
        • Delp S.L.
        How muscle architecture and moment arms affect wrist flexion-extension moments.
        J. Biomech. 1997; 30: 705-712
        • An K.N.
        • Hui F.C.
        • Morrey B.F.
        • Linscheid R.L.
        • Chao E.Y.
        Muscles across the elbow joint: A biomechanical analysis.
        J. Biomech. 1981; 4: 659-669
        • Lieber R.L.
        • Jacobson M.D.
        • Fazeli B.M.
        • Abrams R.A.
        • Botte M.J.
        Architecture of selected muscles of the arm and forearm: anatomy and implications for tendon transfer.
        J. Hand Surg. 1992; 17A: 787-798
        • Lieber R.L.
        • Fazeli B.M.
        • Botte M.J.
        Architecture of selected wrist flexor and extensor muscles.
        J. Hand Surg. 1990; 15A: 244-250
        • Murray W.M.
        • Buchanan T.S.
        • Delp S.L.
        The isometric functional capacity of muscles that cross the elbow.
        J. Biomech. 2000; 33: 943-952
        • Veeger H.E.J.
        • Yu B.
        • An K.N.
        • Rozendal R.H.
        Parameters for modeling the upper extremity.
        J. Biomech. 1997; 30: 647-652
        • Chang Y.W.
        • Su F.C.
        • Wu H.W.
        • An K.N.
        Optimum length of muscle contraction.
        Clin. Biomech. 1999; 14: 537-542
        • Koo T.K.K.
        • Mak A.F.T.
        A musculoskeletal model for estimation of the musculotendon parameters of the prime elbow flexors.
        in: Muller R. Gerber H. Stacoff A. Proceeding of the XVIII Congress of the International Society of Biomechanics, Zurich, Switzerland. 2001: P219
      2. Koo TKK, Mak AFT. An interactive graphics-based model of the upper extremity. In: Proceedings of Hong Kong Orthopedic Association 19th Annual Congress, 1999

        • Amis A.A.
        • Dowson D.
        • Wright V.
        Muscle strengths and musculo-skeletal geometry of the upper limb.
        Eng. Med. 1979; 8: 41-48
        • Delp S.L.
        • Loan J.P.
        A graphics-based software system to develop and analyze models of msuculoskeletal structures.
        Comput. Biol. Med. 1995; 25: 21-34
        • London J.T.
        Kinematics of the elbow.
        J. Bone Joint Surg. 1981; 63A: 529-535
        • Morrey B.F.
        • Chao E.Y.S.
        Passive motion of the elbow joint.
        J. Bone Joint Surg. 1976; 58A: 501-508
        • Given J.D.
        • Dewald J.P.A.
        • Rymer W.Z.
        Joint dependent passive stiffness in paretic and contralateral limbs of spastic patients with hemiparetic stroke.
        J. Neurol. Neurosurg. Psychiatry. 1995; 59: 271-279
        • Wiegner A.W.
        • Watts R.L.
        Elastic properties of muscles measured at the elbow in man: I. Normal controls.
        J. Neurol. Neurosurg. Psychiatry. 1986; 49: 1171-1176
        • Watts R.L.
        • Wiegner A.W.
        • Young R.R.
        Elastic properties of muscles measured at the elbow in man: II. patients with Parkinsonian rigidity.
        J. Neurol. Neurosurg. Psychiatry. 1986; 49: 1177-1181
        • Winters J.M.
        • Stark L.
        Estimated mechanical properties of synergistic muscles involved in movements of a variety of human joints.
        J. Biomech. 1988; 21: 1027-1041
        • Nelder J.A.
        • Mead R.
        A simplex method for function minimization.
        Comput. J. 1965; 7: 308-313
        • Lieber R.L.
        Skeletal muscle structure and function––implications for rehabilitation and sports medicine.
        Williams & Wilkins, Baltimore1992
        • Feng C.J.
        • Mak A.F.T.
        • Koo T.K.K.
        A surface EMG driven musculoskeletal model of the elbow flexion-extension movement in normal subjects and in subjects with spasticity.
        J. Musculoskeletal Res. 1999; 3: 109-123
      3. Caldwell EG. Applied muscle models in prediction of forces at the elbow. Ph.D. dissertation, Simon Fraser University, Burnaby, Canada, 1987

        • Lemay M.A.
        • Crago P.E.
        A dynamic model for simulating movements of the elbow, forearm, and wrist.
        J. Biomech. 1987; 29: 1319-1330
        • Soechting J.F.
        • Flanders M.
        Evaluating an integrated musculoskeletal model of the human arm.
        J. Biomech. Eng. 1997; 119: 93-102
        • Allen G.M.
        • McKenzie D.K.
        • Gandevia S.C.
        Twitch interpolation of the elbow flexor muscles at high forces.
        Muscle Nerve. 1998; 21: 318-328
        • Kent-Braun J.A.
        • Le Blanc R.
        Quantitation of central activation failure during maximal voluntary contractions in humans.
        Muscle Nerve. 1996; 19: 861-869
        • Suter E.
        • Brodino L.
        • Herzog W.
        • Lee H.D.
        Length dependence of muscle inhibition in the elbow flexors.
        in: Muller R. Gerber H. Stacoff A. Proceeding of the XVIII Congress of the International Society of Biomechanics. Zurich, Switzerland. 2001: O789
      4. Murray WM. The functional capacity of the elbow muscles: anatomical measurements, computer modeling, and anthropometric scaling. Ph.D. dissertation, Northwestern University, Chicago, USA, 1997