S-Transform Time-Frequency Feature Extraction Of Laser Doppler Flowmetry Signal Using Svd Decomposition

@article{Assous2006STransformTF,
  title={S-Transform Time-Frequency Feature Extraction Of Laser Doppler Flowmetry Signal Using Svd Decomposition},
  author={Sa{\"i}d Assous and Anne Humeau-Heurtier and Jean-Pierre L'Huillier},
  journal={2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings},
  year={2006},
  volume={3},
  pages={III-III}
}
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… CONTINUE READING
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