Detection of explosive lung and bowel sounds by means of fractal dimension

Leontios J. Hadjileontiadis, Ioannis T. Rekanos

Research output: Contribution to journalLetterpeer-review

120 Scopus citations

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 every day clinical practice.

Original languageBritish English
Pages (from-to)311-316
Number of pages6
JournalIEEE Signal Processing Letters
Volume10
Issue number10
DOIs
StatePublished - Oct 2003

Keywords

  • Bowel sounds
  • Fine/coarse crackles
  • Fractal-dimension-based detector (FDD)
  • Lung sounds
  • Squawks

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