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A smart sensing platform for the classification of ambulatory patterns
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Brett, P. N., Ma, X. and Elliott, Mark T. (2009) A smart sensing platform for the classification of ambulatory patterns. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, Volume 223 (Number 5). pp. 567-575. doi:10.1243/09544119JEIM523 ISSN 0954-4119.
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Official URL: http://dx.doi.org/10.1243/09544119JEIM523
Abstract
This paper describes an innovative sensing approach allowing capture, discrimination, and classification of transients automatically in gait. A walking platform is described, which offers an alternative design to that of standard force plates with advantages that include mechanical simplicity and less restriction on dimensions. The scope of the work is to investigate as an experiment the sensitivity of the distributive tactile sensing method with the potential to address flexibility on gait assessment, including patient targeting and the extension to a variety of ambulatory applications. Using infrared sensors to measure plate deflection, gait patterns are compared with stored templates using a pattern recognition algorithm. This information is input into a neural network to classify normal and affected walking events, with a classification accuracy of just under 90 per cent achieved. The system developed has potential applications in gait analysis and rehabilitation, whereby it can be used as a tool for early diagnosis of walking disorders or to determine changes between pre- and post-operative gait.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||
Journal or Publication Title: | Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine | ||||
Publisher: | Sage Publications Ltd. | ||||
ISSN: | 0954-4119 | ||||
Official Date: | 1 July 2009 | ||||
Dates: |
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Volume: | Volume 223 | ||||
Number: | Number 5 | ||||
Page Range: | pp. 567-575 | ||||
DOI: | 10.1243/09544119JEIM523 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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