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Content Provider | IEEE Xplore Digital Library |
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Author | Greene, B.R. McGrath, D. O'Donovan, K.J. O'Neill, R. Burns, A. Caulfield, B. |
Copyright Year | 2010 |
Description | Author affiliation: CLARITY Centre for Sensor Web Technologies and School of Physiotherapy and Performance Science, University College Dublin, Ireland (Caulfield, B.) || Intel Digital Health Group, Leixlip, Co. Kildare, Ireland (Greene, B.R.; O'Donovan, K.J.; Burns, A.) || School of Physiotherapy and Performance Science, University College Dublin, Ireland (McGrath, D.) || TRIL Centre, University College Dublin, Ireland (O'Neill, R.) |
Abstract | Body-worn kinematic sensors have been widely proposed for use in portable, low cost, ambulatory monitoring of gait. Such sensor based systems could avoid the need for high-cost laboratory-based methods for measurement of gait. We aimed to evaluate an adaptive gyroscope-based algorithm for automated temporal gait analysis using body-worn wireless gyroscopes. Temporal gait parameters were calculated from initial contact (IC) and terminal contact (TC) points derived from gyroscopes, contained in wireless sensors on the left and right shanks, using a newly developed adaptive algorithm. Gyroscope data from nine healthy adult subjects performing four walks at three different speeds were then compared against data acquired simultaneously using two force-plates. Results show that the mean true error between the adaptive gyroscope algorithm and force-plate was −5.5±7.3 ms and 40.6±19.2 ms for IC and TC points respectively; the latter representing a consistent, systematic error of this magnitude that may be intrinsic to shank-mounted gyroscopes. These results suggest that the algorithm reported here could form the basis of a robust, portable, low-cost system for ambulatory monitoring of gait. |
Starting Page | 1296 |
Ending Page | 1299 |
File Size | 472224 |
Page Count | 4 |
File Format | |
ISBN | 9781424441235 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2010.5626400 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-08-31 |
Publisher Place | Argentina |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Gyroscopes Integrated circuits Sensors Angular velocity Legged locomotion Biomedical monitoring Monitoring |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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