Computerized analysis of respiratory sounds during COPD exacerbations

Computers in Biology and Medicine

Volumn 43, Issue 7, 2013, Pages 914-921

  Sánchez Morillo, Daniel ^a   Astorga Moreno, Sonia ^b   Fernández Granero, Miguel Ángel ^a   León Jiménez, Antonio ^b  

^a UNIVERSITY OF CÁDIZ   (Spain)

^b HOSPITAL UNIVERSITARIO PUERTA DEL MAR   (Spain)

Author keywords

Clustering; COPD; Exacerbation; Respiratory sounds; Signal processing

Indexed keywords

CHRONIC OBSTRUCTIVE PULMONARY DISEASE; CLUSTERING; COPD; EXACERBATION; EXPLORATORY DATA ANALYSIS; RESPIRATORY SOUNDS; SOCIO-ECONOMIC IMPACTS; UNSUPERVISED CLUSTERING;

DIAGNOSIS; SIGNAL PROCESSING;

PULMONARY DISEASES;

ABNORMAL RESPIRATORY SOUND; AGED; ARTICLE; AUSCULTATION; CHRONIC OBSTRUCTIVE LUNG DISEASE; CLINICAL ARTICLE; COMPUTER ANALYSIS; DISEASE EXACERBATION; FEMALE; FOLLOW UP; HUMAN; MALE; PATIENT MONITORING; PHYSICIAN; PRIORITY JOURNAL;

AGED; AGED, 80 AND OVER; CLUSTER ANALYSIS; FEMALE; HUMANS; MALE; MONITORING, PHYSIOLOGIC; PRINCIPAL COMPONENT ANALYSIS; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; REPRODUCIBILITY OF RESULTS; RESPIRATORY SOUNDS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84878963563     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2013.03.011     Document Type: Article

References (46)

1. Global strategy for diagnosis, management and prevention of COPD. 2011. Available at , (accessed 2013). http://www.goldcopd.com.
2. Buist A.S., McBurnie M.A., Vollmer W.M., Gillespie S., Burney P., Mannino D.M., Menezes A.M., Sullivan S.D., Lee T.A., Weiss K.B., Jensen R.L., Marks G.B., Gulsvik A., Nizankowska-Mogilnicka E. BOLD Collaborative Research Group. International variation in the prevalence of COPD (the BOLD study): a population-based prevalence study. Lancet 2007, 50:370-741.
3. Mathers C.D., Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006, 3:e442.
4. Perera P.N., Armstrong E.P., Sherrill D.L., Skrepnek G.H. Acute exacerbations of COPD in the United States: inpatient burden and predictors of costs and mortality. COPD 2012, 9:131-141.
5. Seemungal T.A., Donaldson G.C., Bhowmik A., Jeffries D.J., Wedzicha J.A. Time course and recovery of exacerbations in patients with chronic obstructive pulmonary disease. Am. J. Resp. Crit. Care. Med. 2000, 161:1608-1613.
6. Wedzicha J.A., Hurst J.R. Structural and functional co-conspirators in chronic obstructive pulmonary disease exacerbations. Proc. Am. Thorac. Soc. 2007, 4:602-605.
7. Ceresa C.C., Johnston I.D. Auscultation in the diagnosis of respiratory disease in the 21st century. Postgrad. Med. J. 2008, 84:393-394.
8. Reichert S., Gass R., Brandt C., Andres E. Pulmonary auscultation in the era of evidence-based medicine. Rev. Mal. Resp. 2008, 25:674-682.
9. Pasterkamp H., Kraman S.S., Wodicka G.R. Respiratory sounds. Advances beyond the stethoscope. Am. J. Resp. Crit. Care. Med. 1997, 156:974-987.
10. Wang Z., Xiong Y.X. Lung sound patterns help to distinguish congestive heart failure, chronic obstructive pulmonary disease, and asthma exacerbations. Acad. Emerg. Med. 2012, 19(1):79-84.
11. Lessard C.S., Wong W.C. Correlation of constant flow rate with frequency spectrum of respiratory sounds when measured at the trachea. IEEE Trans. Biomed. Eng. 1986, 33:461-463.
12. Noviski N., Cohen L., Springer C., Bar-Yishay E., Avital A., Godfrey S. Bronchial provocation determined by breath sounds compared with lung function. Arch. Dis. Child. 1991, 66:952-955.
13. Fenton T.R., Pasterkamp H., Tal A., Chernick V. Automated spectral characterization of wheezing in asthmatic children. IEEE Trans. Biomed. Eng. 1985, 32:50-55.
14. Wodicka G.R., Stevens K.N., Golub H.L., Cravalho E.G., Shannon D.C. A model of acoustic transmission in the respiratory system. IEEE Trans. Biomed. Eng. 1989, 36:925-934.
15. Sánchez I., Vizcaya C. Tracheal and lung sounds repeatability in normal adults. Resp. Med. 2003, 97:1257-1260.
16. Roca J., Sanchis J., Agusti-Vidal A., Segarra F., Navajas D., Rodriguez-Roisin R., Casan P., Sans S. Spirometric reference values from a Mediterranean population. Bull. Eur. Physiopathol. Resp. 1986, 22:217-224.
17. Morillo D.S., León A., Astorga S. Computer-aided diagnosis of pneumonia in patients with chronic obstructive pulmonary disease. J. Am. Med. Inf. Assoc. (Epub ahead of print) 2013, 10.1136/amiajnl-2012-001171.
18. Gnitecki J., Hossain I., Pasterkamp H., Moussavi Z. Qualitative and quantitative evaluation of heart sound reduction from lung sound recordings. IEEE Trans. Biomed. Eng. 2005, 52:1788-1792.
19. Tukey J.W. Exploratory Data Analysis 1977, Addison-Wesley Reading.
20. Paoletti M., Camiciottoli G., Meoni E., Bigazzi F., Cestelli L., Pistolesi M., Marchesi C. Explorative data analysis techniques and unsupervised clustering methods to support clinical assessment of chronic obstructive pulmonary disease (COPD) phenotypes. J. Biomed. Inf. 2009, 42:1013-1021.
21. Jolliffe L.T. Principal Component Analysis 2002, Springer-Verlag, New York. second ed.
22. Okabe A., Boots B.N., Sugihara K. Spatial Tessellations: Concepts and Applications of Voronoi Diagrams 1992, J. Wiley & Sons, New York.
23. Gabriel K.R. The biplot graphical display of matrices with applications to principal component analysis. Biometrika 1971, 58:453-467.
24. Bezdek J.C., Ehrlich R., FulL W. FCM: the fuzzy c-means clustering algorithm. Comput. Geosci. 1984, 10:191-203.
25. Krieger A.M., Green P.E. A cautionary note on using internal cross validation to select the number of clusters. Psychometrika 1999, 64:341-353.
26. Nikhil R.P., Bezdek J.C. On cluster validity for the fuzzy c-means model. IEEE Trans. Fuzzy Syst. 1995, 3:370-379.
27. Andrès E., Hajjam A., Brandt C. Advances and innovations in the field of auscultation, with a special focus on the development of new intelligent communicating stethoscope systems. Health Technol. 2012, 2:5-16.
28. Gurung A., Scrafford C.G., Tielsch J.M., Levine O.S., Checkley W. Computerized lung sound analysis as diagnostic aid for the detection of abnormal lung sounds: a systematic review and meta-analysis. Resp. Med. 2011, 105:1396-1403.
29. A. Jain, J. Vepa, Lung sound analysis for wheeze episode detection, in: 30th Annual International IEEE EMBS Conference, August 20-24, 2008, pp. 2582-2585.
30. Taplidou S.A., Hadjileontiadis L.J. Wheeze detection based on time-frequency analysis of breath sounds. Comput. Biol. Med. 2007, 37:1073-1083.
31. Guntupalli K.K., Alapat P.M., Bandi V.D., Kushnir I. Validation of automatic wheeze detection in patients with obstructed airways and in healthy subjects. J. Asthma 2008, 45:903-907.
32. Bentur L., Beck R., Berkowitz D., Hasanin J., Berger I., Elias N., Gavriely N. Adenosine bronchial provocation with computerized wheeze detection in young infants with prolonged cough: correlation with long-term follow-up. Chest 2004, 126:1060-1065.
33. S. Alsmadi, Y. Kahya, Online classification of lung sounds using DSP, in: Proceeding of the Second Joint EMS BMES Conference, October, 2002, Houston, 2002, pp. 1771-2.
34. Bahoura M. Pattern recognition methods applied to respiratory sounds classification into normal and wheeze classes. Comput. Biol. Med. 2009, 39:824-843.
35. Abbas A., Fahim A. An automated computerized auscultation and diagnostic system for pulmonary diseases,. J. Med. Syst. 2010, 34:1149-1155.
36. Mahagna M., Gavriely N. Repeatability of measurements of normal lung sounds. Am. J. Resp. Crit. Care. Med. 1994, 149:477-481.
37. Colebatch H.J., Ng C.K. A longitudinal study of pulmonary distensibility in healthy adults. Resp. Physiol. 1996, 65:1-11.
38. Baumann U.A., Haerdi E., Keller R. Relations between clinical signs and lung function in bronchial asthma: how is acute bronchial obstruction reflected in dyspnoea and wheezing?. Respiration 1986, 50:294-300.
39. Royal College of Physicians, British Thoracic Society, British Lung Foundation. Report of the National Chronic Obstructive Pulmonary Disease Audit 2008: Clinical Audit of COPD Exacerbations Admitted to Acute NHS Trusts Across the UK London. Royal College of Physicians, 2008.
40. Steer J., Norman E.M., Afolabi O.A., Gibson G.J., Bourk S.C. Dyspnoea severity and pneumonia as predictors of in-hospital mortality and early readmission in acute exacerbations of COPD. Thorax 2012, 67:117-121.
41. Lieberman D., Lieberman D., Gelfer Y., Varshavsky R., Dvoskin B., Leinonen M., Friedman M.G. Pneumonic vs nonpneumonic acute exacerbations of COPD. Chest 2002, 122:1264-1270.
42. Cho M.H., Washko G.R., Hoffmann T.H., Criner G.J., Hoffman E.A., Martinez F.J., Laird N., Reilly J.J., Silverman E.K. Cluster analysis in severe emphysema subjects using phenotype and genotype data: an exploratory investigation. Resp. Res. 2010, 11:30.
43. Bafadhel M., McKenna S., Terry S., Mistry V., Reid C., Haldar P., McCormick M., Haldar K., Kebadze T., Duvoix A., Lindblad K., Patel H., Rugman P., Dodson P., Jenkins M., Saunders M., Newbold P., Green R.H., Venge P., Lomas D.A., Barer M.R., Johnston S.L., Pavord I.D., Brightling C.E. Acute exacerbations of chronic obstructive pulmonary disease: identification of biologic clusters and their biomarkers. Am. J. Resp. Crit. Care Med. 2011, 148:662-671.
44. Roy K., Smith J., Kolsum U., Borrill Z., Vestbo J., Singh D. COPD phenotype description using principal components analysis. Resp. Res. 2009, 10:41.
45. Han M.K., Agustí A., Calverley P.M., Celli B.R., Criner G., Curtis J.L., et al. Chronic obstructive pulmonary disease phenotypes: the future of COPD. Am. J. Resp. Crit. Care Med. 2010, 182:598-604.
46. Pistolesi M., Camiciottoli G., Paoletti M., Marmai C., Lavorini F., Meoni E., Marchesi C., Giuntini C. Identification of a predominant COPD phenotype in clinical practice. Resp. Med. 2008, 102:367-376.