Mimicking Complex Shoulder Motion Using a Multi-Dof Actuator to Investigate Rotator Cuff Tears

Slotarski, Benjamin; Horn, Blase; Rahman, Hafizur

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https://hdl.handle.net/2142/90107 Copy

Description

Title

Mimicking Complex Shoulder Motion Using a Multi-Dof Actuator to Investigate Rotator Cuff Tears

Author(s)

• Slotarski, Benjamin
• Horn, Blase
• Rahman, Hafizur

Contributor(s)

Kersh, Mariana E.

Issue Date

2016

Keyword(s)

• Biomechanics
• CNC
• Rapid-Prototyping
• Data-Processing

Abstract

Rotator cuff tears are considered one of the primary causes of shoulder pain and dysfunction in the upper extremity and has been associated with secondary consequences including increased glenohumeral (GH) cartilage degeneration increased and decreased glenoid cartilage thickness. As a result, the overall shoulder joint stability and function is likely affected by the change in these properties. However, the degree to which these changes affect shoulder function is not well understood. The objective of our study is to develop a methodology to investigate the effect of rotator cuff tears on cartilage mechanics and shoulder joint function. An ovine model was used to simulate glenohumeral motion. A custom fixture was developed to mount the shoulder joint into a five-degree of freedom actuator system. Once mounted, abduction, adduction, internal and external rotation will be manually simulated and captured by a motion capture camera system. The kinematic data will then be converted and edited to use as G-Code to replicate the aforementioned shoulder motions. Initial trials have been run on isolated movement (e.g. abduction alone), and future testing will include combinations of abduction, rotations etc. The GH cartilage pressure will be measured by a dynamic pressure measuring sensor during all simulated movements. This study will provide better understanding of the relationship between rotator cuff tears and shoulder joint functions which can be applied clinically to improve rotator cuff tear treatments.

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/90107

Copyright and License Information

Copyright 2016, Slotarski

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