A dynamic programming approach for automatic stride detection and segmentation in acoustic emission from the knee
File(s) Yiallourides_ICASSP2017.pdf (303.5 KB)
Accepted version
Author(s)
Yiallourides, C
Manning, V
Moore, AH
Naylor, P
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 dynamic programming based algorithm for automatic estimation of both the initial contact instants (ICIs) and last contact instants (LCIs) of the foot to the floor. The technique is designed 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 function 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.
Date Issued
2017-06-19
Date Acceptance
2016-12-12
Citation
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, pp.401-405
ISSN
1520-6149
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
401
End Page
405
Journal / Book Title
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
2017 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)
Subjects
Science & Technology
Technology
Acoustics
Engineering, Electrical & Electronic
Engineering
acoustic emission
dynamic programming
knee osteoarthritis
contact instants
VIBROARTHROGRAPHIC SIGNALS
CARTILAGE PATHOLOGY
LINEAR PREDICTION
VIBRATION SIGNALS
JOINTS
Publication Status
Published
Start Date
2017-03-05
Finish Date
2017-03-09
Coverage Spatial
New Orleans
Date Publish Online
2017-06-19
