Source: Annual Congress 2002 - Airway obstruction measurement (FOT - NEP) sleep and lung sound analysis
Disease area: Interstitial lung diseases

Abstract

Detection of discontinuous adventitious lung sounds, i.e., fine/coarse crackles (FC, CC) and squawks (SQ), seems to play an important role in the non-invasive diagnosis of pulmonary dysfunctions, especially when it is based on the auscultation findings. Due to physicians' subjectivity in the interpretation of lung sound recordings, an objective, fast and accurate detector of FC, CC and SQ would, in turn, enhance the diagnostic character of lung sounds and lead to more accurate characterisation of the associated pulmonary pathology [e.g., pulmonary fibrosis (PF), interstitial fibrosis (IF), chronic bronchitis (CB), allergic alveolitis (AA)]. In this study we have constructed an efficient technique for detecting FC, CC and SQ in clinical auscultative recordings. The technique is based on a fractal-dimension (FD) analysis of lung sounds. The FD, as a measure of signal complexity, is increased when FC, CC and SQ are present in the recordings and decreased when they are absent (background noise). Analysis of pre-classified lung sounds (FC: 6 cases-PF, IF; CC: 5 cases-CB; SQ: 5 cases IF, AA) drawn from two lung sound databases (Kraman, S.S. Lung Sounds 1993, USA: ACCP; Lehrer, S. Understanding Lung Sounds 1993, USA: W. B. Saunders Co) demonstrate the efficiency of the proposed method, since it clearly detects the location and the duration of FC, CC and SQ (100% detectability, p<0.001), despite their variation either in time duration and/or amplitude. Since it is not dependent on subjective human judgment, it is robust, and has low computational cost, the FD-detector could be easily used in pulmonary intensive care units for continuous real-time FC, CC and SQ screening.

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Citations should be made in the following way:
L. J. Hadjileontiadis, I. T. Rekanos (Thessaloniki, Greece; Helsinki, Finland). On efficiently detecting fine/coarse crackles and squawks in lung sound recordings by means of fractal dimension. Eur Respir J 2002; 20: Suppl. 38, 327

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