A multibody biomechanical model of the upper limb including the shoulder girdle

The aim of this work is to propose a robust musculoskeletal model of the upper limb to serve as the basis for the study of different types of shoulder pathologies, including the use of anatomical or reverse prostheses. The multibody biomechanical model is defined by seven rigid bodies constrained by the sternoclavicular, acromioclavicular, and glenohumeral joints, each modeled as a three d.o.f. spherical joint; the humeroulnar and radioulnar joints, each modeled as one d.o.f. hinge joint; and the scapulothoracic articulation, modeled by two holonomic constraints that allow the scapula to glide over the thorax. The muscle system includes 21 muscles described by 37 individual segments using the obstacle-set method. The muscle contraction dynamics is represented by the Hill-type muscle model, being the activation of each muscle unknown. The muscle force sharing is a redundant problem in which an optimization technique is applied to find the muscle activations, and the corresponding muscle forces, by minimizing an objective function that represents muscle energy consumption. The fulfillment of the equations of motion of the biomechanical model are enforced and the stability of the glenohumeral joint and the scapulothoracic articulation is also imposed, thus providing two sets of constraints for the optimal problem. The validation of the model is carried out by comparing the results from an acquired motion, the abduction of the arm, with available data in the literature and with EMG data.

[1]  Bryan Buchholz,et al.  ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand. , 2005, Journal of biomechanics.

[2]  F.C.T. van der Helm,et al.  Abstract of the XII Congress, International Society of BiomechanicsModelling of the shoulder mechanism , 1989 .

[3]  P. Zipp,et al.  Recommendations for the standardization of lead positions in surface electromyography , 1982, European Journal of Applied Physiology and Occupational Physiology.

[4]  Mehdi Mirzaei,et al.  Simultaneous design of optimal gait pattern and controller for a bipedal robot , 2010 .

[5]  C A Holt,et al.  Dynamic tracking of the scapula using skin-mounted markers , 2009, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[6]  Frans C. T. van der Helm,et al.  A standardized protocol for motion recordings of the shoulder , 2002 .

[7]  M G Pandy,et al.  Musculoskeletal Model of the Upper Limb Based on the Visible Human Male Dataset , 2001, Computer methods in biomechanics and biomedical engineering.

[8]  Lillian Y. Chang,et al.  Constrained least-squares optimization for robust estimation of center of rotation. , 2007, Journal of biomechanics.

[9]  Terry Gc,et al.  Functional anatomy of the shoulder. , 2000 .

[10]  Yannick Aoustin,et al.  Pendubot: combining of energy and intuitive approaches to swing up, stabilization in erected pose , 2011 .

[11]  L. Chèze,et al.  Adjustments to McConville et al. and Young et al. body segment inertial parameters. , 2007, Journal of biomechanics.

[12]  Jorge Ambrósio,et al.  Multibody Dynamics of Biomechanical Models for Human Motion via Optimization , 2007 .

[13]  Osvaldo H. Penisi,et al.  Analysis of Human Gait Based on Multibody Formulations and Optimization Tools , 2008 .

[14]  F. V. D. van der Helm,et al.  The relationship between two different mechanical cost functions and muscle oxygen consumption. , 2006, Journal of biomechanics.

[15]  J. H. D. Groot,et al.  The shoulder: a kinematic and dynamic analysis of motion and loading , 1998 .

[16]  Tamaki Ura,et al.  A perioral dynamic model for investigating human speech articulation , 2011 .

[17]  William D. Bandy,et al.  Joint Range of Motion and Muscle Length Testing , 2009 .

[18]  J. Iannotti,et al.  Functional outcome after shoulder arthroplasty for primary osteoarthritis: a multicenter study. , 2002, Journal of shoulder and elbow surgery.

[19]  Lynn S. Lippert Clinical Kinesiology and Anatomy , 2006 .

[20]  Yujiang Xiang,et al.  Dynamic motion planning of overarm throw for a biped human multibody system , 2010 .

[21]  Carlo J. De Luca,et al.  The Use of Surface Electromyography in Biomechanics , 1997 .

[22]  Sahan Gamage,et al.  New least squares solutions for estimating the average centre of rotation and the axis of rotation. , 2002, Journal of biomechanics.

[23]  Miguel T. Silva,et al.  Solution of Redundant Muscle Forces in Human Locomotion with Multibody Dynamics and Optimization Tools , 2003 .

[24]  M. Pandy,et al.  The Obstacle-Set Method for Representing Muscle Paths in Musculoskeletal Models , 2000, Computer methods in biomechanics and biomedical engineering.

[25]  J. Heegaard,et al.  Predictive algorithms for neuromuscular control of human locomotion. , 2001, Journal of biomechanics.

[26]  Parviz E. Nikravesh,et al.  Computer-aided analysis of mechanical systems , 1988 .

[27]  F. C. T. Helm,et al.  Analysis of the kinematic and dynamic behavior of the shoulder mechanism , 1994 .

[28]  Don B Chaffin,et al.  A mathematical musculoskeletal shoulder model for proactive ergonomic analysis , 2007, Computer methods in biomechanics and biomedical engineering.

[29]  S. Raina Modeling shoulder ligament contributions and their effects on muscle force predictions , 2008 .

[30]  Sylvain Brochard,et al.  In vivo estimation of the glenohumeral joint centre by functional methods: accuracy and repeatability assessment. , 2010, Journal of biomechanics.

[31]  Walter Herzog,et al.  Model-based estimation of muscle forces exerted during movements. , 2007, Clinical biomechanics.

[32]  Krzysztof Dziewiecki,et al.  Influence of selected modeling and computational issues on muscle force estimates , 2010 .

[33]  A. Seireg,et al.  Biochemical Analysis Of The Musculoskeletal Structure For Medicine And Sports , 1989 .

[34]  G R Johnson,et al.  A model for the prediction of the forces at the glenohumeral joint , 2006, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[35]  Jaap Harlaar,et al.  Recording scapular motion using an acromion marker cluster. , 2009, Gait & posture.

[36]  Matt Morgan,et al.  Reverse total shoulder arthroplasty , 2015, Radiopaedia.org.

[37]  BRIAN A. Garner,et al.  A Kinematic Model of the Upper Limb Based on the Visible Human Project (VHP) Image Dataset. , 1999, Computer methods in biomechanics and biomedical engineering.

[38]  B. Fregly,et al.  A solidification procedure to facilitate kinematic analyses based on video system data. , 1995, Journal of biomechanics.

[39]  Laurence Cheze,et al.  A new method for motion capture of the scapula using an optoelectronic tracking device: a feasibility study , 2010, Computer methods in biomechanics and biomedical engineering.

[40]  C. L. Chen,et al.  Segment inertial properties of Chinese adults determined from magnetic resonance imaging. , 2000, Clinical biomechanics.

[41]  Walter Maurel,et al.  3D modeling of the human upper limb including the biomechanics of joints, muscles and soft tissues , 1999 .

[42]  R. Huiskes,et al.  Instantaneous helical axis estimation via natural, cross-validated splines , 1987 .

[43]  Yannick Aoustin,et al.  Design of a walking cyclic gait with single support phases and impacts for the locomotor system of a thirteen-link 3D biped using the parametric optimization , 2009 .

[44]  C. Spoor,et al.  Measuring muscle and joint geometry parameters of a shoulder for modeling purposes. , 1999, Journal of biomechanics.

[45]  F C van der Helm,et al.  In vivo estimation of the glenohumeral joint rotation center from scapular bony landmarks by linear regression. , 1997, Journal of biomechanics.

[46]  F. V. D. van der Helm,et al.  Three-dimensional recording and description of motions of the shoulder mechanism. , 1995, Journal of biomechanical engineering.