Conference proceeding
Loading conditions and bone formation in the GH region of the shoulder
PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, v 26, pp 5092-5095
01 Jan 2004
PMID: 17271463
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The present study investigates how loading of the shoulder effect the formation of the trabeculae in the subarticular region of the gleno-Numeral joint. Bone morphology was determined from scapular cadaveric specimens and Finite Element (FE) analysis was employed to analyse principal stress trajectories. Boundary conditions corresponded to five functional activities were considered. The results show deviations of the computed trajectories from actual trabecular lines obtained from the bone specimens ranged on average from 10% to 17%. Each activity produced different regional deviation corresponding to the specific loading condition. This study concludes that certain loading conditions are more significant in explaining the formation of the trabecular architecture. The results also suggest that due to the extra sensitivity of the front and the rear aspects of the "lateral region" to the loading conditions, these regions may be more indicative in reflecting shoulder injuries.
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Details
- Title
- Loading conditions and bone formation in the GH region of the shoulder
- Creators
- D LimR SeliktarE FarrellJ TomL NunesW SunJ Weeieee
- Publication Details
- PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, v 26, pp 5092-5095
- Series
- PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
- Publisher
- IEEE
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; [Retired Faculty]
- Web of Science ID
- WOS:000225461801333
- Other Identifier
- 991019167731604721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Biomedical
- Engineering, Multidisciplinary
- Medicine, Research & Experimental
- Neurosciences
- Radiology, Nuclear Medicine & Medical Imaging