A dynamic programming approach for automatic stride detection and segmentation in acoustic emission from the knee

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Title: A dynamic programming approach for automatic stride detection and segmentation in acoustic emission from the knee
Author(s): Yiallourides, C
Manning, V
Moore, AH
Naylor, P
Item Type: Conference Paper
Abstract: We study the acquisition and analysis of sounds generated by the knee during walking with particular focus on the effects due to osteoarthritis. Reliable contact instant estimation is essential for stride synchronous analysis. We present a dy- namic programming based algorithm for automatic estima- tion of both the initial contact instants (ICIs) and last contact instants (LCIs) of the foot to the floor. The technique is de- signed for acoustic signals sensed at the patella of the knee. It uses the phase-slope function to generate a set of candidates and then finds the most likely ones by minimizing a cost func- tion that we define. ICIs are identified with an RMS error of 13.0% for healthy and 14.6% for osteoarthritic knees and LCIs with an RMS error of 16.0% and 17.0% respectively.
Publication Date: 5-Mar-2017
Date of Acceptance: 12-Dec-2016
URI: http://hdl.handle.net/10044/1/45038
ISSN: 1520-6149
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Journal / Book Title: IEEE International Conference on Acoustics Speech and Signal Processing
Conference Name: IEEE International Conference on Acoustics Speech and Signal Processing
Copyright Statement: This paper is embargoed until publication.
Publication Status: Accepted
Start Date: 2017-03-05
Finish Date: 2017-03-09
Conference Place: New Orleans
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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