Automatic Crackle Detection Algorithm Based on Fractal Dimension and Box Filtering

Procedia Computer Science

Volumn 64, Issue , 2015, Pages 705-712

  Pinho, Cátia ^a   Oliveira, Ana ^a   Jácome, Cristina ^a,b   Rodrigues, João ^c   Marques, Alda ^a,b  

^a UNIVERSITY OF AVEIRO   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

^c UNIVERSITY OF AVEIRO   (Portugal)

Author keywords

Adventitious respiratory sounds; Automatic detection classification algorithms; Box filtering; Crackles; Fractal dimension

Indexed keywords

ALGORITHMS; CRACKS; EXTRACTION; FRACTALS; GOLD; INFORMATION MANAGEMENT; INFORMATION SYSTEMS; PROJECT MANAGEMENT; SIGNAL PROCESSING;

ALGORITHM PERFORMANCE; AUTOMATIC DETECTION; CRACKLES; DETECTION ALGORITHM; FILTERING TECHNIQUE; POSITIVE PREDICTIVE VALUES; RESPIRATORY SOUNDS; WINDOW OF INTEREST;

FRACTAL DIMENSION;

EID: 84962826267     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2015.08.592     Document Type: Conference Paper

References (28)

1. World Health Organization. The World Health Report 2008: Primary Health Care - Now more than ever. Geneva, Switzerland World Health Organization, 2008.
2. Dinis J, Campos G, Rodrigues J, Marques A, editors. Respiratory Sound Annotation Software. International Conference on Health Informatics; 2012; Vilamoura, Portugal. Proceedings of HEALTHINF 2012 - International Conference on Health Informatics; 2012.
3. Bohadana A, Izbicki G, Kraman SS. Fundamentals of lung auscultation. N Engl J Med. 2014;370(8):744-51.
4. Marques A, Bruton A, Barney A. Clinically useful outcome measures for physiotherapy airway clearance techniques: a review. Phys Ther Rev. 2006;11:299-307.
5. Piirila P. Changes in crackle characteristics during the clinical course of pneumonia. Chest. 1992;102(1):176-83.
6. Sovijärvi A, Malmberg L, Charbonneau G, Vanderschoot J, Dalmasso F, Sacco C, et al. Characteristics of breath sounds and adventitious respiratory sounds. Eur Respir Rev. 2000;10(77):591-6.
7. Charbonneau G, Ademovic E, Cheetham B, Malmberg L, Vanderschoot J, Sovijärvi A. Basic techniques for respiratory sound analysis. Eur Respir Rev. 2000;10(77):625-35.
8. Chang GC, Lai YF. Performance evaluation and enhancement of lung sound recognition system in two real noisy environments. Comput Meth Prog Bio. 2010;97(2):141-50.
9. Ono M, Arakawa K, Mori M, Sugimoto T, Harashima H. Separation of Fine Crackles from Vesicular Sounds by a Nonlinear Digital-Filter. Ieee T Bio-Med Eng. 1989;36(2):286-91.
10. Kaisla T, Sovijarvi A, Piirila P, Rajala HM, Haltsonen S, Rosqvist T. Validated Method for Automatic Detection of Lung Sound Crackles. Med Biol Eng Comput. 1991;29(5):517-21.
11. Hadjileontiadis LJ, Panas SM, editors. Nonlinear separation of crackles and squawks from vesicular sounds using third-order statistics. Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE; 1996 31 Oct-3 Nov 1996.
12. Lu XG, Bahoura M. An integrated automated system for crackles extraction and classification. Biomed Signal Process Control. 2008;3(3):244-54.
13. Mastorocostas PA, Tolias YA, Theocharis JB, Hadjileontiadis LJ, Panas SM. An orthogonal least squares-based fuzzy filter for real-time analysis of lung sounds. Ieee T Bio-Med Eng. 2000;47(9):1165-76.
14. Hadjileontiadis LJ, Rekanos IT. Detection of explosive lung and bowel sounds by means of fractal dimension. Signal Processing Letters, IEEE. 2003;10(10):311-4.
15. Quintas J, Campos G, Marques A, editors. Multi-algorithm respiratory crackle detection. Healthinf - 6th International Conference on Health Informatics; 2013; Barcelona.
16. Rossi M, Sovijarvi ARA, Piirila P, Vannuccini L, Dalmasso FVJ. Environmental and subject conditions and breathing manoeuvres for respiratory sound recordings. Eur Respir Rev. 2000;10(77):611-5.
17. Oliveira A, Pinho C, Dinis J, Oliveira D, Marques A, editors. Automatic Wheeze Detection and Lung Function Evaluation: a preliminary study. Healthinf - 6th International Conference on Health Informatics; 2013; Barcelona.
18. Gross V, Hadjileontiadis LJ, Penzel T, Koehler U, Vogelmeier C, editors. Multimedia Database "Marburg Respiratory Sounds (MARS)". 25a Annual International Conference of the IEEE EMBS; 2003; Cancun, Mexico.
19. Katz MJ. Fractals and the analysis of waveforms. Comput Biol Med. 1988;18(3):145-56.
20. Sevcik C. A procedure to Estimate the Fractal Dimension of Waveforms. Complexity International. 2010;5.
21. Shen J, Shen W, Castan S, Zhang TX. Sum-box technique for fast linear filtering. Signal Process. 2002;82(8):1109-26.
22. Murphy RL, Del Bono EA, Davidson F. Validation of an automatic crackle (rale) counter. Am Rev Respir Dis. 1989;140(4):1017-20.
23. Vannuccini L, Earis JE, Helistö P, Cheetham BMG, Rossi M, Sovijärvi ARA, et al. Capturing and preprocessing of respiratory sounds. Eur Respir Rev. 2000; 10(77):616-20.
24. Vannuccini L, Rossi M, Pasquali G. A new method to detect crackles in respiratory sounds. Technol Health Care. 1998;6(1):75-9.
25. Taplidou SA, Hadjileontiadis LJ. Wheeze detection based on time-frequency analysis of breath sounds. Comput Biol Med. 2007;37(8):1073-83.
26. Fawcett T. ROC Graphs: Notes and Practical Considerations for Researchers. 2004.
27. Oliveira A, Marques A. Respiratory sounds in healthy people: a systematic review. Respir Med. 2014;108(4):550-70.
28. Musen M, Middleton B, Greenes R. Clinical Decision-Support Systems. Biomedical Informatics. 2014: 643-74.