A novel approach to the classification of scapular kinematics
A novel approach to the classification of scapular kinematics
The complex 3-dimensional rotation of the scapula and the extensive kinematic data produced during motion analysis makes it difficult to objectively classify participants as having movement faults. Classification based on Demspter-Shafer theory of evidence (DST) has been used previously in gait analysis to overcome similar issues, but has not yet been adopted in scapular kinematics. The aim of the study was to adopt the DST method of classifying participants during a motor control test of the scapula. Scapular kinematics were recorded in two groups of participants: healthy control (n=12) and history of shoulder pain (n=6). Six kinematic variables were used as inputs into the DST classifier. The DST successfully classified 5 out of the 6 participants with a history of pain as having movement faults with an accuracy of 72.2% using a leave-one-out cross validation approach. This study demonstrates the use of DST classifier to successfully classify the majority of participants when measuring scapular kinematics during a motor control test.
Warner, Martin
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Whatling, Gemma
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Worsley, Peter
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Mottram, Sarah
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Chappell, Paul
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Holt, Cathy
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Stokes, Maria
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3 July 2011
Warner, Martin
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Whatling, Gemma
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Worsley, Peter
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Mottram, Sarah
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Chappell, Paul
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Holt, Cathy
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Stokes, Maria
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Warner, Martin, Whatling, Gemma, Worsley, Peter, Mottram, Sarah, Chappell, Paul, Holt, Cathy and Stokes, Maria
(2011)
A novel approach to the classification of scapular kinematics.
23rd Congress of the International Society of Biomechanics.
03 - 07 Jul 2011.
2 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
The complex 3-dimensional rotation of the scapula and the extensive kinematic data produced during motion analysis makes it difficult to objectively classify participants as having movement faults. Classification based on Demspter-Shafer theory of evidence (DST) has been used previously in gait analysis to overcome similar issues, but has not yet been adopted in scapular kinematics. The aim of the study was to adopt the DST method of classifying participants during a motor control test of the scapula. Scapular kinematics were recorded in two groups of participants: healthy control (n=12) and history of shoulder pain (n=6). Six kinematic variables were used as inputs into the DST classifier. The DST successfully classified 5 out of the 6 participants with a history of pain as having movement faults with an accuracy of 72.2% using a leave-one-out cross validation approach. This study demonstrates the use of DST classifier to successfully classify the majority of participants when measuring scapular kinematics during a motor control test.
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Published date: 3 July 2011
Venue - Dates:
23rd Congress of the International Society of Biomechanics, 2011-07-03 - 2011-07-07
Identifiers
Local EPrints ID: 193095
URI: http://eprints.soton.ac.uk/id/eprint/193095
PURE UUID: ea01c37a-47e1-41e7-8a3e-70a2f0b4e45a
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Date deposited: 12 Jul 2011 14:39
Last modified: 15 Mar 2024 03:31
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Contributors
Author:
Gemma Whatling
Author:
Sarah Mottram
Author:
Paul Chappell
Author:
Cathy Holt
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