Time-Frequency Analysis of Clinical Percussion Signals Using Matrix Pencil MethodReport as inadecuate

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Journal of Electrical and Computer Engineering - Volume 2015 2015, Article ID 274541, 10 pages -

Research Article

Department of Physics, University of Windsor, 401 Sunset Avenue, Windsor, ON, Canada N9B 3P4

Tessonics Corp., 2019 Hazel Street, Birmingham, MI 48009, USA

Institute for Diagnostic Imaging Research, University of Windsor, 401 Sunset Avenue, Windsor, ON, Canada N9B 3P4

Detroit Medical Center, 4201 St. Antoine Street, Detroit, MI 48201, USA

Received 30 September 2014; Accepted 1 March 2015

Academic Editor: Peter Jung

Copyright © 2015 Moinuddin Bhuiyan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper discusses time-frequency analysis of clinical percussion signals produced by tapping over human chest or abdomen with a neurological hammer and recorded with an air microphone. The analysis of short, highly damped percussion signals using conventional time-frequency distributions TFDs meets certain difficulties, such as poor time-frequency localization, cross terms, and masking of the lower energy features by the higher energy ones. The above shortcomings lead to inaccurate and ambiguous representation of the signal behavior in the time-frequency plane. This work describes an attempt to construct a TF representation specifically tailored to clinical percussion signals to achieve better resolution of individual components corresponding to physical oscillation modes. Matrix Pencil Method MPM is used to decompose the signal into a set of exponentially damped sinusoids, which are then plotted in the time-frequency plane. Such representation provides better visualization of the signal structure than the commonly used frequency-amplitude plots and facilitates tracking subtle changes in the signal for diagnostic purposes. The performance of our approach has been verified on both ideal and real percussion signals. The MPM-based time-frequency analysis appears to be a better choice for clinical percussion signals than conventional TFDs, while its ability to visualize damping has immediate practical applications.

Author: Moinuddin Bhuiyan, Eugene V. Malyarenko, Mircea A. Pantea, Dante Capaldi, Alfred E. Baylor, and Roman Gr. Maev

Source: https://www.hindawi.com/


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