New approaches for spectro-temporal feature extraction with applications to respiratory sound classification

Author:

Jin F.,Sattar F.,Goh D.Y.T.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference50 articles.

1. The ASAP project;Reichert;Respiratory Medicine,2009

2. Standardization of computerized respiratory sound analysis;Sovijarvi;European Respiratory Review,2000

3. Respiratory sounds—advances beyond the stethoscope;Pasterkamp;American Journal of Respiratory and Critical Care Medicine,1997

4. Y.P. Kahya, E. Bayatli, M. Yeginer, K. Ciftci, G. Kilinc, Comparison of different feature sets for respiratory sounds classifiers, in: Proceedings of 25th IEEE EMBS Conference, 2003, pp. 2853–2856.

5. M. Bahoura, C. Pelletier, New parameters for respiratory sound classification, in: Proceedings of IEEE Conference on Electrical and Computing Engineering 3 (2003) 1457–1460.

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