Computerised respiratory sounds can differentiate smokers and non-smokers

Journal of Clinical Monitoring and Computing

Volumn 31, Issue 3, 2017, Pages 571-580

  Oliveira, Ana ^a   Sen, Ipek ^b   Kahya, Yasemin P ^b   Afreixo, Vera ^a   Marques, Alda ^a  

^a UNIVERSITY OF AVEIRO   (Portugal)

^b BOGAZICI UNIVERSITY   (Turkey)

Author keywords

Computerised auscultation; Crackles; Early diagnosis; Smoking; Sound spectrum

Indexed keywords

ACOUSTIC INTENSITY; BIOLOGICAL ORGANS; CRACKS; PULMONARY DISEASES; TISSUE;

COMPUTERISED AUSCULTATION; CRACKLES; EARLY DIAGNOSIS; SMOKING; SOUND SPECTRUM;

DIAGNOSIS;

ABNORMAL RESPIRATORY SOUND; ADULT; AIR COUPLED ELECTRET MICROPHONE; ARTICLE; BREATHING; COMPUTER; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; COMPUTERISED RESPIRATORY SOUND; CONTROLLED STUDY; CRACKLE; CROSS-SECTIONAL STUDY; DYSPNEA; EXPIRATORY FLOW; FEMALE; FORCED EXPIRATORY VOLUME; HUMAN; LUNG AUSCULTATION; LUNG PARENCHYMA; MALE; MICROPHONE; NORMAL HUMAN; PEAK INSPIRATORY FLOW; PNEUMOTACHOGRAPH; PNEUMOTACHYGRAPHY; PRIORITY JOURNAL; RESPIRATORY AIRFLOW; SMOKING; SOUND INTENSITY; WHEEZING; AUSCULTATION; COMPARATIVE STUDY; DIFFERENTIAL DIAGNOSIS; EVALUATION STUDY; INTERSTITIAL LUNG DISEASE; PATHOPHYSIOLOGY; PROCEDURES; REFERENCE VALUE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SOUND DETECTION;

ADULT; AUSCULTATION; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; FEMALE; HUMANS; LUNG DISEASES, INTERSTITIAL; MALE; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; RESPIRATORY SOUNDS; SENSITIVITY AND SPECIFICITY; SMOKING; SOUND SPECTROGRAPHY;

EID: 84966680013     PISSN: 13871307     EISSN: 15732614     Source Type: Journal    
DOI: 10.1007/s10877-016-9887-8     Document Type: Article

References (42)

1. Milner D. The physiological effects of smoking on the respiratory system. Nurs Times. 2004;100(24):56–9.
2. Saldías F, Díaz O (2011) Cigarette smoking and lower respiratory tract infection. In: Martin-Loeches I (ed) Bronchitis. InTech. doi:10.5772/17652.
3. Beane J, Sebastiani P, Liu G, et al. Reversible and permanent effects of tobacco smoke exposure on airway epithelial gene expression. Genome Biol. 2007;8(9):R201. doi:10.1186/gb-2007-8-9-r201.
4. Marques A, Bruton A, Barney A. Clinically useful outcome measures for physiotherapy airway clearance techniques: a review. Phys Therapy Rev. 2006;11(4):299–307. doi:10.1179/108331906X163441.
5. Parkes G, Greenhalgh T, Griffin M et al (2008) Effect on smoking quit rate of telling patients their lung age: the Step2quit randomised controlled trial, vol 336, vol 7644. doi:10.1136/bmj.39503.582396.25.
6. Baughman RP, Loudon RG. Lung sound analysis for continuous evaluation of airflow obstruction in asthma. Chest. 1985;88(3):364–8. doi:10.1378/chest.88.3.364.
7. Piirila P. Changes in crackle characteristics during the clinical course of pneumonia. Chest. 1992;102(1):176–83. doi:10.1378/chest.102.1.176.
8. Kiyokawa H, Pasterkamp H. Volume-dependent variations of regional lung sound, amplitude, and phase. J Appl Physiol (Bethesda, Md: 1985). 2002;93(3):1030–8. doi:10.1152/japplphysiol.00110.2002.
9. Laird CW, Homburger F, Ishikawa S. Letter: Breath-sound changes after cigarette smoking. Lancet. 1974;1(7861):808. doi:10.1016/S0140-6736(74)92876-1.
10. Gavriely N, Nissan M, Cugell DW, et al. Respiratory health screening using pulmonary function tests and lung sound analysis. Eur Respir J. 1994;7(1):35–42. doi:10.1183/09031936.94.07010035.
11. Gavriely N, Nissan M, Rubin AH, et al. Spectral characteristics of chest wall breath sounds in normal subjects. Thorax. 1995;50(12):1292–300. doi:10.1136/thx.50.12.1292.
12. Gross V, Dittmar A, Penzel T, et al. The relationship between normal lung sounds, age, and gender. Am J Respir Crit Care Med. 2000;162(3 Pt 1):905–9. doi:10.1164/ajrccm.162.3.9905104.
13. Bohadana A, Teculescu D, Martinet Y. Mechanisms of chronic airway obstruction in smokers. Respir Med. 2004;98(2):139–51.
14. Doherty DE, Belfer MH, Brunton SA et al. Chronic obstructive pulmonary disease: consensus recommendations for early diagnosis and treatment. J Fam Pract. (2006);55:S1–S5. http://www.jfponline.com/view-pdf.html?file=fileadmin/jfp_archive/uploadedFiles/Journal_Site_Files/Journal_of_Family_Practice/supplement_archive/JFPSupp_COPD_1106
15. Miller MR. Standardisation of spirometry. Eur Respir J. 2005;26(2):319–38. doi:10.1183/09031936.05.00034805.
16. Sen I, Kahya YP (2005) A multi-channel device for respiratory sound data acquisition and transient detection. In: Conference proceedings: annual international conference of the IEEE engineering in medicine and biology society IEEE engineering in medicine and biology society annual conference, vol 6, pp 6658–6661. doi:10.1109/iembs.2005.1616029.
17. Kraman SS, Wodicka GR, Oh Y, et al. Measurement of respiratory acoustic signals. Effect of microphone air cavity width, shape, and venting. Chest. 1995;108(4):1004–8.
18. Rossi M, Sovijarvi ARA, Piirila P, et al. Environmental and subject conditions and breathing manoeuvres for respiratory sound recordings. Eur Respir Rev. 2000;10(77):611–5.
19. Vyshedskiy A, Murphy R. Crackle pitch rises progressively during inspiration in pneumonia, CHF, and IPF patients. Pulm Med. 2012;2012:240160. doi:10.1155/2012/240160.
20. Pinho C, Oliveira A, Jácome C, et al. Automatic crackle detection algorithm based on fractal dimension and box filtering. Proc Comput Sci. 2015;64:705–12. doi:10.1016/j.procs.2015.08.592.
21. Taplidou SA, Hadjileontiadis LJ. Wheeze detection based on time-frequency analysis of breath sounds. Comput Biol Med. 2007;37(8):1073–83. doi:10.1016/j.compbiomed.2006.09.007.
22. Jacome C, Oliveira A, Marques A. Computerized respiratory sounds: a comparison between patients with stable and exacerbated COPD. Clin Respir J. 2015;. doi:10.1111/crj.12392.
23. Kompis M, Pasterkamp H, Oh Y et al. Distribution of inspiratory and expiratory respiratory sound intensity on the surface of the human thorax. In: Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th annual international conference of the IEEE, 1997 1997, vol 2045, pp 2047–2050. doi:10.1109/IEMBS.1997.758750.
24. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hellsdale: Lawrence Earlbaum Associates; 1988.
25. Fritz CO, Morris PE, Richler JJ. Effect size estimates: current use, calculations, and interpretation. J Exp Psychol Gen. 2012;141(1):2–18. doi:10.1037/a0024338.
26. Jones A, Jones RD, Kwong K, et al. Effect of positioning on recorded lung sound intensities in subjects without pulmonary dysfunction. Phys Ther. 1999;79(7):682–90.
27. Malmberg LP, Sovijarvi AR, Paajanen E, et al. Changes in frequency spectra of breath sounds during histamine challenge test in adult asthmatics and healthy control subjects. Chest. 1994;105(1):122–31. doi:10.1378/chest.105.1.122.
28. Malmberg LP, Pesu L, Sovijarvi AR. Significant differences in flow standardised breath sound spectra in patients with chronic obstructive pulmonary disease, stable asthma, and healthy lungs. Thorax. 1995;50(12):1285–91. doi:10.1136/thx.50.12.1285.
29. Vanuccini L, Earis J, Helisto P, et al. Capturing and pre-processing of respiratory sounds. Eur Respir Rev. 2000;10(77):616–20.
30. Pasterkamp H, Kraman SS, Wodicka GR. Respiratory sounds. Advances beyond the stethoscope. Am J Respir Crit Care Med. 1997;156(3 Pt 1):974–87. doi:10.1164/ajrccm.156.3.9701115.
31. Leblanc P, Macklem PT, Ross WR. Breath sounds and distribution of pulmonary ventilation. Am Rev Respir Dis. 1970;102(1):10–6.
32. Vyshedskiy A, Ishikawa S, Murphy RL Jr. Crackle pitch and rate do not vary significantly during a single automated-auscultation session in patients with pneumonia, congestive heart failure, or interstitial pulmonary fibrosis. Respir Care. 2011;56(6):806–17. doi:10.4187/respcare.00999.
33. Jacome C, Marques A. Pulmonary rehabilitation for mild COPD: a systematic review. Respir Care. 2014;59(4):588–94. doi:10.4187/respcare.02742.
34. Rennard SI, Drummond MB. Early chronic obstructive pulmonary disease: definition, assessment, and prevention. Lancet. 2015;385(9979):1778–88. doi:10.1016/s0140-6736(15)60647-x.
35. Alzahrani M. Quantifying crackles in the lung of smoking and non-smoking young adults. Southampton: University of Southampton; 2011.
36. Vannuccini L, Rossi M, Pasquali G. A new method to detect crackles in respiratory sounds. Technol Health Care Off J Eur Soc Eng Med. 1998;6(1):75–9.
37. Strulovici-Barel Y, Omberg L, O’Mahony M, et al. Threshold of biologic responses of the small airway epithelium to low levels of tobacco smoke. Am J Respir Crit Care Med. 2010;182(12):1524–32. doi:10.1164/rccm.201002-0294OC.
38. Bohadana A, Izbicki G, Kraman SS. Fundamentals of lung auscultation. New Engl J Med. 2014;370(8):744–51. doi:10.1056/NEJMra1302901.
39. Stendardi L, Binazzi B, Scano G. Exercise dyspnea in patients with COPD. Int J Chronic Obstr Pulm Dis. 2007;2(4):429–39.
40. Pasterkamp H, Patel S, Wodicka GR. Asymmetry of respiratory sounds and thoracic transmission. Med Biol Eng Compu. 1997;35(2):103–6. doi:10.1007/BF02534138.
41. Kraman S. Lung sounds: relative sites of origin and comparative amplitudes in normal subjects. Lung. 1983;161(1):57–64. doi:10.1007/BF02713842.
42. Kanezaki M, Ebihara S, Nikkuni E, et al. Perception of urge-to-cough and dyspnea in healthy smokers with decreased cough reflex sensitivity. Cough (Lond, Engl). 2010;6:1–7. doi:10.1186/1745-9974-6-1.