Document Detail


An evaluation of the predictive power of component vector angles for seated spinal posture monitoring.
MedLine Citation:
PMID:  18003318     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This work is part of a larger project developing wearable posture monitors for the work environment. We seek to evaluate the predictive power of individual spinal segment vector angles, towards the selection of the optimum angles for posture monitoring. A marker-based optoelectronic motion capture system was used to monitor seated posture for 9 healthy subjects during a range of motion flexion-extension exercise. Machine learning techniques were used to evaluate the prediction accuracy of the component vector angles recorded, and the range of motion for each vector angle was calculated for each subject. The overall flexion vector angle, which encompasses the entire spinal length between the C7 and L4 vertebrae, was determined to be the best predictor angle, due to its predictive accuracy and simplicity, and its relatively larger range of motion in all subjects.
Authors:
Lucy E Dunne; Pauline Walsh; Barry Smyth; Brian Caulfield
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2007     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2007  
Date Detail:
Created Date:  2007-11-16     Completed Date:  2008-03-28     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  5748-51     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms*
Computer Simulation
Diagnosis, Computer-Assisted / methods*
Female
Humans
Image Interpretation, Computer-Assisted / methods*
Male
Models, Biological*
Posture / physiology*
Reproducibility of Results
Sensitivity and Specificity
Spine / anatomy & histology*,  physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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