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Proceedings Paper

Time-varying spectral analysis in exercise and sport science
Author(s): Barry A. Frishberg; Lorenzo Galleani; Leon Cohen
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Paper Abstract

We discuss the application of time-frequency analysis to biomechanical-type signals, and in particular to signals that would be encountered in the study of rotation rates of bicycle pedaling. We simulate a number of such signals and study how well they are represented by various time-frequency methods. We show that time-frequency representations track very well the instantaneous frequency even when there are very fast changes. In addition, we do a correlation analysis between time-series whose instantaneous frequency is changing and show that the traditional correlation coeficient is insuffcient to characterize the correlations. We instead show that the correlation coeficient should be evaluated directly from the instantaneous frequencies of the time series, which can be easily estimated from their time-frequency distributions.

Paper Details

Date Published: 25 September 2007
PDF: 13 pages
Proc. SPIE 6697, Advanced Signal Processing Algorithms, Architectures, and Implementations XVII, 66970A (25 September 2007); doi: 10.1117/12.740183
Show Author Affiliations
Barry A. Frishberg, South Carolina State Univ. (United States)
Lorenzo Galleani, Politecnico di Torino (Italy)
Leon Cohen, City Univ. of New York (United States)

Published in SPIE Proceedings Vol. 6697:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVII
Franklin T. Luk, Editor(s)

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