| Benchmarking of a full-body inertial motion capture system for clinical gait analysis. | |
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MedLine Citation:
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PMID: 19163735 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In order for gait analysis to be established as part of routine clinical diagnoses, an accurate, flexible and user-friendly motion capture system is required. Commonly used optical, mechanical and acoustic systems offer acceptable accuracy and repeatability, but are often expensive and restricted to laboratory use. Inertial motion capture has seen great innovation in the last few years, but the technology is not yet considered mature enough for clinical gait analysis. In this paper we compare the kinematic reliability of inertial motion capture with optical motion capture during routine gait studies of eight able-bodied subjects. The root mean squared, RMS, and coefficient of correlation, R, was used to compare data sets. Saggital plane joint angles in the knee and hip compared very well. Corresponding transverse and frontal plane values were moderately accurate. The ankle joint angles calculated from the two systems were less accurate. This was believed to be due to the use of different rotation axis orientations used for calculation of angular rotations. |
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Authors:
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Teunis Cloete; Cornie Scheffer |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2008 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2008 |
Date Detail:
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Created Date: 2009-02-16 Completed Date: 2009-05-11 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 4579-82 Citation Subset: IM |
Affiliation:
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Biomedical Engineering Research Group, Department of Mechanical and Mechatronic Engineering, Stellenbosch University, South Africa. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Acoustics Algorithms Biomechanics Body Height Body Weight Calibration Computer Simulation / statistics & numerical data Gait / physiology* Humans Imaging, Three-Dimensional Joints / physiology* Models, Anatomic Models, Statistical Motion Musculoskeletal System |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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