| Quantification of soft-tissue vibrations in running: accelerometry versus high-speed motion capture. | |
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MedLine Citation:
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PMID: 20841629 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Soft-tissue vibrations can be used to quantify selected properties of human tissue and their response to impact. Vibrations are typically quantified using high-speed motion capture or accelerometry. The aim of this study was to compare the amplitude and frequency of soft-tissue vibrations during running when quantified by highspeed motion capture and accelerometry simultaneously. This study showed: (a) The estimated measurement errors for amplitude and frequency were of the same order of magnitude for both techniques. (b) There were no significant differences in the mean peak frequencies and peak amplitudes measured by the two methods. (c) The video method showed an inability to capture high frequency information. This study has shown that a tradeoff has to be made between the accuracy in amplitude and frequency when these methods are employed to quantify soft tissue vibrations in running. |
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Authors:
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Aurel Coza; Benno M Nigg; Ladina Fliri |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Journal of applied biomechanics Volume: 26 ISSN: 1065-8483 ISO Abbreviation: J Appl Biomech Publication Date: 2010 Aug |
Date Detail:
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Created Date: 2010-09-15 Completed Date: 2010-11-02 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9315240 Medline TA: J Appl Biomech Country: United States |
Other Details:
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Languages: eng Pagination: 367-72 Citation Subset: IM |
Affiliation:
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Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Acceleration* Adult Female Humans Male Muscle, Skeletal / physiology Running / physiology* Signal Processing, Computer-Assisted Stress, Mechanical Vibration* Video Recording |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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