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Author Pant, J.K. ♦ Krishnan, S.
Sponsorship IEEE Eng. Med. Biol. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Vectors ♦ Support vector machines ♦ Foot ♦ Time series analysis ♦ Estimation ♦ Training ♦ Standards
Abstract A new algorithm for the estimation of stride interval time series from foot gait signals is proposed. The algorithm is based on the detection of beginning of heel strikes in the signal by using the support vector machine. Morphological operations are used to enhance the accuracy of detection. By taking backward differences of the detected beginning of heel strikes, stride interval time series is estimated. Simulation results are presented which shows that the proposed algorithm yields fairly accurate estimation of stride interval time series where estimation error for mean and standard deviation of the time series is of the order of $10^{-4}.$
Description Author affiliation: Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada (Pant, J.K.; Krishnan, S.)
ISBN 9781424479290
ISSN 1557170X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-08-26
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 748.02 kB
Page Count 4
Starting Page 6410
Ending Page 6413

Source: IEEE Xplore Digital Library