Evaluation of a patient-specific cost function to predict the influence of foot path on the knee adduction torque during gait

References

• Anderson , F.C. and Pandy , M.G. 2001 . Dynamic optimization of human walking . J. Biomech. Eng. , 123 : 381 – 390 .
   PubMed Web of Science ®Google Scholar
• Arnold , A.S. , Salinas , S. , Asakawa , D.J. and Delp , S.L. 2000 . Accuracy of muscle moment arms estimated form MRI-based musculoskeletal models of the lower extremity . Comput. Aided Surg. , 5 : 108 – 119 .
   PubMedGoogle Scholar
• Baliunas , A.J. , Hurwitz , D.E. , Ryals , A.B. , Karrar , A. , Case , J.P. , Block , J.A. and Andriacchi , T.P. 2002 . Increased knee joint loads during walking are present in subjects with knee osteoarthritis . Osteoarthritis Cartilage , 10 : 573 – 579 .
   PubMed Web of Science ®Google Scholar
• Bogert , A.J. , van den Smith , G.D. and Nigg , B.M. 1994 . In vivo determination of the anatomical axes of the ankle joint complex: an optimization approach . J. Biomech. , 27 : 1477 – 1488 .
   PubMed Web of Science ®Google Scholar
• Bottasso , C.L. , Prilutsky , B.I. , Croce , A. , Imberti , E. and Sartirana , S. 2006 . A numerical procedure for inferring from experimental data the optimization cost functions using a multibody model of the neuro-musculoskeletal system . Multibody Syst. Dyn. , 16 : 123 – 154 .
   Google Scholar
• Buchanan , T.S. , Lloyd , D.G. , Manal , K. and Besier , T.F. 2004 . Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command . J. Appl. Biomech. , 20 : 367 – 395 .
   PubMed Web of Science ®Google Scholar
• de Leva , P. 1996 . Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters . J. Biomech. , 29 : 1223 – 1230 .
   PubMed Web of Science ®Google Scholar
• Fregly , B.J. , Rahman , H. and Banks , S.A. 2005 . Theoretical accuracy of model-based shape matching for measuring natural knee kinematics with single-plane fluoroscopy . J. Biomech. Eng. , 127 : 692 – 699 .
   PubMed Web of Science ®Google Scholar
• Fregly , B.J. , Reinbolt , J.A. , Rooney , K.L. , Mitchell , K.H. and Chmielewski , T.L. 2007 . Design of patient-specific gait modifications for knee osteoarthritis rehabilitation . IEEE Trans. Biomed. Eng. , 54 : 1687 – 1695 .
   PubMed Web of Science ®Google Scholar
• Garner , B.A. and Pandy , M.G. 2003 . Estimation of musculotendon properties in the human upper limb . Ann. Biomed. Eng. , 31 : 207 – 220 .
   PubMed Web of Science ®Google Scholar
• Jansson , T. , Nilsson , L. and Redhe , M. 2003 . Using surrogate models and response surfaces in structural optimization—with application to crashworthiness design and sheet metal forming . Struct. Multidiscip. Optim. , 25 : 129 – 140 .
   Web of Science ®Google Scholar
• Liu , C.K. , Hertzmann , A. and Popovic , Z. 2005 . Learning physics-based motion style with inverse optimization . ACM Trans. Graph. , 24 : 1071 – 1081 .
   Google Scholar
• Lloyd , D.G. and Besier , T.F. 2003 . An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo . J. Biomech. , 36 : 765 – 776 .
   PubMed Web of Science ®Google Scholar
• Mazza , C. and Cappozzo , A. 2004 . An optimization algorithm for human joint angle time-history . Ann. Biomed. Eng. , 32 : 764 – 772 .
   Google Scholar
• Miyazaki , T. , Wada , M. , Kawahara , H. , Sato , M. , Baba , H. and Shimada , S. 2002 . Dynamic load at baseline can predict radiographic disease progression in medial compartment knee osteoarthritis . Ann. Rheum. Dis. , 61 : 617 – 622 .
   PubMed Web of Science ®Google Scholar
• Murray , W.M. , Buchanan , T.S. and Delp , S.L. 2002 . Scaling of peak moment arms of elbowmuscles with upper extremity bone dimensions . J. Biomech. , 35 : 19 – 26 .
   PubMed Web of Science ®Google Scholar
• Nagurka , M.L. and Yen , V. 1990 . Fourier-based optimal control of nonlinear dynamic systems . J. Dyn. Syst. Meas. Control , 112 : 17 – 26 .
   Web of Science ®Google Scholar
• Queipo , N.V. , Haftka , R.T. , Shyy , W. , Goel , T. and Vaidyanathan , R. 2005 . Surrogate-based analysis and optimization . Prog. Aerosp. Sci. , 41 : 1 – 28 .
   Web of Science ®Google Scholar
• Rao , G. , Amarantini , D. , Berton , E. and Favier , D. 2006 . Influence of body segments' parameters estimation models on inverse dynamics solutions during gait . J. Biomech. , 39 : 1531 – 1536 .
   PubMed Web of Science ®Google Scholar
• Reinbolt , J.A. , Schutte , J.F. , Fregly , B.J. , Haftka , R.T. , George , A.D. and Mitchell , K.H. 2005 . Determination of patient-specific multi-joint kinematic models through two-level optimization . J. Biomech. , 38 : 621 – 626 .
   PubMed Web of Science ®Google Scholar
• Sommer , H.J. III and Miller , N.R. 1980 . A technique for kinematic modeling of anatomical joints . J. Biomech. Eng. , 102 : 311 – 317 .
   PubMedGoogle Scholar
• Suzuki , M. , Matsunami , K. , Yamazaki , Y. and Nizuno , N. 1996 . Application of the minimum jerk model to formation of the trajectory of the centre of mass during multijoint limb movements . Folia Primatol. , 66 : 240 – 252 .
   Google Scholar
• Thelen , D.G. , Anderson , F.C. and Delp , S.L. 2003 . Generating dynamic simulations of movement using computed muscle control . J. Biomech. , 36 : 321 – 328 .
   PubMed Web of Science ®Google Scholar
• Vaughan , C.L. , Andrews , J.G. and Hay , J.G. 1982 . Selection of body segment parameters by optimization methods . J. Biomech. Eng. , 104 : 38 – 44 .
   Google Scholar
• Wada , Y. , Kaneko , Y. , Nakano , E. , Osu , R. and Kawato , M. 2001 . Quantitative examinations for multi joint arm trajectory planning—using a robust calculation algorithm of the minimum commanded torque . Neural Networks , 14 : 381 – 393 .
   PubMed Web of Science ®Google Scholar
• Zajac , F.E. 1989 . Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control . CRC Crit. Rev. Biomed. Eng. , 17 : 359 – 411 .
   PubMed Web of Science ®Google Scholar
• Zhao , D. , Banks , S.A. , Mitchell , K.H. , D'Lima , D.D. , Colwell , C.W. and Fregly , B.J. 2007 . Correlation between the knee adduction torque and medial contact force for a variety of gait patterns . J. Orthop. Res. , 25 : 789 – 797 .
   PubMed Web of Science ®Google Scholar