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Cited by 622

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Dynamic Measurements of Three-Dimensional Scapular Kinematics: A Validation Study

Karduna, Andrew R., McClure, Phil W., Michener, Lori A., Sennett, Brian·2001·Journal of Biomechanical Engineering

Abstract

The validation of two noninvasive methods for measuring the dynamic three-dimensional kinematics of the human scapula with a magnetic tracking device is presented. One method consists of simply fixing a sensor directly to the acromion and the other consists of mounting a sensor to an adjustable plastic jig that fits over the scapular spine and acromion. The concurrent validity of both methods was assessed separately by comparison with data collected simultaneously from an invasive approach in which pins were drilled directly into the scapula. The differences between bone and skin based measurements represents an estimation of skin motion artifact. The average motion pattern of each surface method was similar to that measured by the invasive technique, especially below 120 degrees of elevation. These results indicate that with careful consideration, both methods may offer reasonably accurate representations of scapular motion that may be used to study shoulder pathologies and help develop computational models.

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Metadata

Authors
Karduna, A. R., McClure, P. W., Michener, L. A., & Sennett, B.
Venue
Journal of Biomechanical Engineering
Published
2000-12-01
Volume
123
Issue
2
Pages
184-190
ISSN
  • 0148-0731 (ISSN-L)
  • 1528-8951
OpenAlex
W1984745520
Cited by
622
References
24
FWCI
6.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dynamic Measurements of Three-Dimensional Scapular Kinematics: A Validation Study. https://app.cochat.ai/papers/10.1115/1.1351892
The paper
Karduna, A. R., McClure, P. W., Michener, L. A., & Sennett, B. (2001). Dynamic Measurements of Three-Dimensional Scapular Kinematics: A Validation Study. Journal of Biomechanical Engineering. https://doi.org/10.1115/1.1351892

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.