@INPROCEEDINGS{Rosado_02_CinC,
author={Rosado-Munoz, A. and Camps-Valls, G. and Guerrero-Martinez, J. and Frances-Villora, J.V. and Muoz-Mari, J. and Serrano-Lopez, A.J.},
booktitle={Computers in Cardiology, 2002},
title={Enhancing feature extraction for VF detection using data mining techniques},
year={2002},
month = {22-25 September},
pages={209-212},
volume = {29}
keywords={data mining;electrocardiography;feature extraction;medical signal processing;time-frequency analysis;VF detection algorithms;VT discrimination;classical selection techniques;computational cost;data mining techniques;parameter selection;significance estimation;statistical significance;time-frequency distributions;ventricular fibrillation;Computational efficiency;Data mining;Detection algorithms;Feature extraction;Fibrillation;Frequency domain analysis;Medical treatment;Principal component analysis;Signal processing algorithms;Time frequency analysis},
doi={10.1109/CIC.2002.1166744},
ISSN={0276-6547},}