NDLI: Comparing adaptive algorithms to measure temporal gait parameters using lower body mounted inertial sensors

Content Provider	IEEE Xplore Digital Library
Author	Patterson, M.R. Caulfield, B.
Copyright Year	2012
Description	Author affiliation: CLARITY Centre for Sensor Web Technol., Univ. Coll. Dublin, Dublin, Ireland (Patterson, M.R.; Caulfield, B.)
Abstract	The purpose of this research was to compare different adaptive algorithms in terms of their ability to determine temporal gait parameters based on data acquired from inertial measurement units (IMUs). Eight subjects performed 25 walking trials over a force plate under five different conditions; normal, fast, slow, simulated stiff ankle and simulated stiff knee walking. Data from IMUs worn on the shanks and on the feet were used to identify temporal gait features using three different adaptive algorithms (Green, Selles & Sabatini). Each method's ability to estimate temporal events was compared to the gold standard force plate method for stance time (Greene, r= .990, Selles, r= 0.865, Sabatini, r= 0.980) and double support time (Greene, r= .837, Selles, r= .583, Sabatini, r= .745). The Greene method of estimating gait events from inertial sensor data resulted in the most accurate stance and double support times.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	4509
Ending Page	4512
File Size	494670
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346969
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Adaptive algorithms Foot Sensors Acceleration Gyroscopes Integrated circuits
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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