Title :
Detection of explosive lung and bowel sounds by means of fractal dimension
Author :
Hadjileontiadis, Leontios J. ; Rekanos, Ioannis T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Greece
Abstract :
An efficient technique for detecting explosive lung sounds (LS) (fine/coarse crackles and squawks) or bowel sounds (BS) in clinical auscultative recordings is presented. The technique is based on a fractal-dimension (FD) analysis of the recorded LS and BS obtained from controls and patients with pulmonary and bowel pathology, respectively. Experimental results demonstrate the efficiency of the proposed method, since it clearly detects the time location and duration of LS and BS, despite their variation either in time duration and/or amplitude. A noise stress test justifies the noise robustness of the FD-based detector, indicating its potential use in everyday clinical practice.
Keywords :
acoustic signal detection; fractals; lung; medical signal detection; bowel pathology; bowel sounds; clinical auscultative recordings; explosive lung sound detection; fine/coarse crackles; fractal-dimension analysis; noise robustness; noise stress test; pulmonary pathology; squawks; time duration; time location; Acoustic noise; Acoustic signal detection; Detectors; Explosives; Fractals; Lungs; Pathology; Stress; Testing; Time domain analysis;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2003.817171