Literature DB >> 11264821

A Kinematic Model of the Upper Limb Based on the Visible Human Project (VHP) Image Dataset.

BRIAN A. Garner1, MARCUS G. Pandy.   

Abstract

A kinematic model of the arm was developed using high-resolution medical images obtained from the National Library of Medicine's Visible Human Project (VHP) dataset. The model includes seven joints and uses thirteen degrees of freedom to describe the relative movements of seven upper-extremity bones: the clavicle, scapula, humerus, ulna, radius, carpal bones, and hand. Two holonomic constraints were used to model the articulation between the scapula and the thorax. The kinematic structure of each joint was based on anatomical descriptions reported in the literature. The three joints comprising the shoulder girdle - the sternoclavicular joint, the acromioclavicular joint, and the glenohumeral joint - were each modeled as a three degree-of-freedom, ideal, ball-and-socket joint. The articulations at the elbow and wrist - humeroulnar flexion-extension, radioulnar pronation-supination, radiocarpal flexion-extension, and radiocarpal radial-ulnar deviation - were each modeled as a single degree-of-freedom, ideal, hinge joint. Locations of the joint centers and joint axes were derived by graphically inspecting the three-dimensional surfaces of the reconstructed bones. The relative positions of the bones were defined by fixing a reference frame to each bone; the position and orientation of each reference frame were based on the positions of anatomical landmarks and on the shapes of the reconstructed bone surfaces. Tables are provided which specify the positions and orientations of the joint axes and the bone-fixed reference frames for the model arm.

Entities:  

Year:  1999        PMID: 11264821     DOI: 10.1080/10255849908907981

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  8 in total

1.  Regressions for estimating muscle parameters in the thoracic and lumbar trunk for use in musculoskeletal modeling.

Authors:  Dennis E Anderson; John M D'Agostino; Alexander G Bruno; Rajaram K Manoharan; Mary L Bouxsein
Journal:  J Biomech       Date:  2011-10-22       Impact factor: 2.712

2.  An elaborate data set characterizing the mechanical response of the foot.

Authors:  Ahmet Erdemir; Pavana A Sirimamilla; Jason P Halloran; Antonie J van den Bogert
Journal:  J Biomech Eng       Date:  2009-09       Impact factor: 2.097

3.  Wrist tendon moment arms: Quantification by imaging and experimental techniques.

Authors:  Angela K Garland; Darshan S Shah; Angela E Kedgley
Journal:  J Biomech       Date:  2017-12-24       Impact factor: 2.712

4.  Integrated System for Monitoring Muscular States during Elbow Flexor Resistance Training in Bedridden Patients.

Authors:  Taojin Xu; Zhongwei Jiang; Jongyeob Jeong; Minoru Morita; Hongbin Xu
Journal:  J Healthc Eng       Date:  2019-01-17       Impact factor: 2.682

5.  A Biomechanical Model of the Scapulothoracic Joint to Accurately Capture Scapular Kinematics during Shoulder Movements.

Authors:  Ajay Seth; Ricardo Matias; António P Veloso; Scott L Delp
Journal:  PLoS One       Date:  2016-01-06       Impact factor: 3.240

6.  A New Skeleton Model and the Motion Rhythm Analysis for Human Shoulder Complex Oriented to Rehabilitation Robotics.

Authors:  Song Zhibin; Ma Tianyu; Nie Chao; Niu Yijun
Journal:  Appl Bionics Biomech       Date:  2018-06-03       Impact factor: 1.781

7.  A survey of human shoulder functional kinematic representations.

Authors:  Rakesh Krishnan; Niclas Björsell; Elena M Gutierrez-Farewik; Christian Smith
Journal:  Med Biol Eng Comput       Date:  2018-10-26       Impact factor: 2.602

8.  Muscle Contributions to Upper-Extremity Movement and Work From a Musculoskeletal Model of the Human Shoulder.

Authors:  Ajay Seth; Meilin Dong; Ricardo Matias; Scott Delp
Journal:  Front Neurorobot       Date:  2019-11-05       Impact factor: 2.650

  8 in total

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