| Paper: | SPTM-L7.5 | ||
| Session: | Time-Frequency Representations: Applications | ||
| Time: | Thursday, May 18, 17:50 - 18:10 | ||
| Presentation: | Lecture | ||
| Topic: | Signal Processing Theory and Methods: Non-stationary Signals and Time-Frequency Analysis | ||
| Title: | S-TRANSFORM TIME-FREQUENCY FEATURE EXTRACTION OF LASER DOPPLER FLOWMETRY SIGNAL USING SVD DECOMPOSITION | ||
| Authors: | Said Assous, Anne Humeau, Groupe ESAIP-ISAIP, France; Jean-Pierre L'Hullier, LPMI, France | ||
| Abstract: | Extracting the most important features of input data is extremely important. In this paper we introduced a new approach of feature extraction based on singular value decomposition of the S-transform time-frequency matrix of the laser Doppler flowmetry signal. We used this new approach to study reactive hyperemia blood flow recordings. This kind of bio-data provides an interesting biomedical investigation for estimating microcirculation perfusion. The technique uses the singular vector associated with the time-frequency distribution to characterize the physiological activities behaviors during the hyperemia phenomena. | ||
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