Multi-algorithm respiratory crackle detection

HEALTHINF 2013 - Proceedings of the International Conference on Health Informatics

Volumn , Issue , 2013, Pages 239-244

  Quintas, João ^a   Campos, Guilherme ^b   Marques, Alda ^c  

^a UNIVERSITY OF AVEIRO   (Portugal)

^b UNIVERSITY OF AVEIRO   (Portugal)

^c School of Health Sciences   (Portugal)

Author keywords

Adventitious lung sounds; Agreement; Annotation; Automatic detection algorithms; Performance metrics; Stethoscopy; Validation

Indexed keywords

ANNOTATION; AUTOMATIC DETECTION ALGORITHMS; LUNG SOUNDS; PERFORMANCE METRICS; STETHOSCOPY; VALIDATION;

BIOLOGICAL ORGANS; CONTRACTS; CRACKS; SIGNAL DETECTION;

ALGORITHMS;

EID: 84877993916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Charleston-Villalobos, S., R. González-Camarena, et al (2007). "Crackle sounds analysis by empirical mode decomposition. Nonlinear and nonstationary signal analysis for distinction of crackles in lung sounds.," Engineering in Medicine and Biology Magazine, IEEE 26(1): 40-47.
2. Dinis, J., G. Campos, et al (2012). "Respiratory Sound Annotation Software.,", BIOSTEC 2012.
3. Fawcett, T. (2004). "ROC graphs: Notes and practical considerations for researchers.," Machine Learning.
4. Hadjileontiadis, L. (1996). "Nonlinear separation of crackles and squawks from vesicular sounds using third-order statistics.," Medicine and Biology Society 5: 2217-2219.
5. Hadjileontiadis, L. J. (2005). "Wavelet-based enhancement of lung and bowel sounds using fractal dimension thresholding-part I: methodology.," Biomedical Engineering, IEEE Transactions on 52(6): 1143-1148.
6. Hadjileontiadis, L. J. (2007). "Empirical mode decomposition and fractal dimension filter. A novel technique for denoising explosive lung sounds.," Engineering in Medicine and Biology Magazine, IEEE 26(1): 30-39.
7. Hadjileontiadis, L. J. and T. Rekanos (2003). "Detection of Explosive Lung and Bowel Sounds by Means of Fractal Dimension.," IEEE Transactions on Biomedical Engineering 47: 1-4.
8. Kahya, Y. P., S. Yerer, et al (2001). A wavelet-based instrument for detection of crackles in pulmonary sounds. Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE. 4: 3175-3178.
9. Kaisla, T., A. Sovijarvi, et al (1991). "Validated method for automatic detection of lung sound crackles.," Medical & biological engineering & computing 29(5): 517-521.
10. Li, Z. and M. Du (2005). "HHT based lung sound crackle detection and classification.," 385-388.
11. Lu, X. and M. Bahoura (2008). "An integrated automated system for crackles extraction and classification.," Biomedical Signal Processing and Control: 1-11.
12. Mastorocostas, P. A., Y. A. Tolias, et al (2000). "An orthogonal least squares-based fuzzy filter for realtime analysis of lung sounds.," IEEE transactions on bio-medical engineering 47(9): 1165-1176.
13. Ono, M., K. Arakawa, et al (1989). "Separation of fine crackles from vesicular sounds by a nonlinear digital filter.," IEEE transactions on bio-medical engineering 36(2): 286-291.
14. Pasterkamp, H., Steve S. Kraman, et al (1997). "Respiratory Sounds. Advances Beyond the Stethoscope.," American Journal of Respiratory and Critical Care Medicine 156(3): 974.
15. Sheng, D. (2009). Feature Selection Based F-Score and ACO Algorithm in Support Vector Machine. Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on.
16. Sovijärvi, A. R. A., Dalmasso F, Sacco C, Rossi M and Earis J E (2000). "Characteristics of breath sounds and adventitious respiratory sounds.," European Respiratory Review 10(77): 591-596.
17. Vannuccini, L., M. Rossi, et al (1998). "A new method to detect crackles in respiratory sounds.," Technology and health care: official journal of the European Society for Engineering and Medicine 6(1): 75-79.