In comparison to other joints in the human body, the shoulder complex is particularly reliant on the coordination of active muscle forces to generate both movement and stability during activities using the upper extremities. The resultant imbalance of muscle forces across the shoulder, coupled with the increased reliance on the shoulder for functional mobility, puts the individual with tetraplegia at great risk for developing shoulder pathology. The ability to quantify the movement of the shoulder, and in particular the sequence of shoulder complex movement components within functional tasks, can provide information to better inform clinical and surgical decision making. In this article, we will discuss the impact of tetraplegia on shoulder biomechanics and function, provide an overview of general principles and current status of kinematic modeling of the shoulder complex, and describe emerging applications of quantitative motion analysis of the shoulder complex.
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Original Article|
May 08 2008
Kinematic Modeling of the Shoulder Complex in Tetraplegia
Carole Tucker;
Carole Tucker
1
Motion Analysis Laboratory, Shriners Hospital for Children, Philadelphia, Pennsylvania
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Anita Bagley;
Anita Bagley
2
Motion Analysis Laboratory, Shriners Hospital for Children, Sacramento, California
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Kimberly Wesdock;
Kimberly Wesdock
3
Motion Analysis Laboratory, BioMotion at Children’s Hospital, Richmond, Virginia
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Chris Church;
Chris Church
4
Gait and Motion Analysis Laboratory, A. I. duPont Hospital for Children, Wilmington, Delaware
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John Henley;
John Henley
5
Gait and Motion Analysis Laboratory, A. I. duPont Hospital for Children, Wilmington, Delaware
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George Masiello
George Masiello
6
Motion Analysis Laboratory, BioMotion at Children’s Hospital, Richmond, Virginia
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Top Spinal Cord Inj Rehabil (2008) 13 (4): 72–85.
Citation
Carole Tucker, Anita Bagley, Kimberly Wesdock, Chris Church, John Henley, George Masiello; Kinematic Modeling of the Shoulder Complex in Tetraplegia. Top Spinal Cord Inj Rehabil 1 April 2008; 13 (4): 72–85. doi: https://doi.org/10.1310/sci1304-72
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