Feature Extraction From Parametric Time–Frequency Representations for Heart Murmur Detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s10439-010-0077-4.pdf
Reference24 articles.
1. Abramovich, Y., N. Spencer, and M. Turley. Order estimation and discrimination between stationary and time-varying (TVAR) autoregressive models. IEEE Trans. Signal Process. 55(6):2861–2876, 2007.
2. Ahlstrom, C., P. Hult, P. Rask, J. Karlsson, E. Nylander, U. Dahlstrom, and P. Ask. Feature extraction for systolic heart murmur classification. Ann. Biomed. Eng. 34:1666–1677, 2006.
3. Avendano-Valencia, D., F. Martinez-Tabares, D. Acosta-Medina, I. Godino-Llorente, and G. Castellanos-Dominguez. TFR-based feature extraction using PCA Approaches for discrimination of heart murmurs. Proceedings of the 31th IEEE EMBS Annual International Conference (EMBC’09), 2009.
4. Barker, M., and W. Rayens. Partial least squares for discrimination. J. Chemomet. 17(3):166–173, 2003.
5. Bernat, E., W. Williams, and W. Gehring. Decomposing ERP time–frequency energy using PCA. Clin. Neurophysiol. 116:1314–1334, 2005.
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