| Optimum gravity vector and vertical acceleration estimation using a tri-axial accelerometer for falls and normal activities. | |
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MedLine Citation:
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PMID: 22256171 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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This study aims to determine an optimum estimate for the gravitational vector and vertical acceleration profiles using a body-worn tri-axial accelerometer during falls and normal activities of daily living (ADL), validated using a camera based motion analysis system. Five young healthy subjects performed a number of simulated falls and normal ADL while trunk kinematics were measured by both an optical motion analysis system and a tri-axial accelerometer. Through low-pass filtering of the trunk tri-axial accelerometer signal between 1Hz and 2.7Hz using a 1(st) order or higher, Butterworth IIR filter, accurate gravity vector profile can be obtained using the method described here. Results: a high mean correlation (≥0.83: Coefficient of Multiple Correlations) and low mean percentage error (≤2.06m/s(2)) were found between the vertical acceleration profile generated from the tri-axial accelerometer based sensor to those from the optical motion capture system. This proposed system enables optimum gravity vector and vertical acceleration profiles to be measured from the trunk during falls and normal ADL. |
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Authors:
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Alan K Bourke; Karol O'Donovan; Amanda Clifford; Gearoid Olaighin; John Nelson |
Publication Detail:
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Type: Journal Article |
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: 2011 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2011 Aug |
Date Detail:
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Created Date: 2012-01-18 Completed Date: - 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: 7896-9 Citation Subset: IM |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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