An iterative kurtosis-based technique for the detection of nonstationary bioacoustic signals

Ioannis T. Rekanos, Leontios J. Hadjileontiadis

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

A novel technique for the detection of nonstationary bioacoustic signals, such as explosive lung and bowel sounds, in clinical auscultative recordings is presented. The technique uses kurtosis (zero-lag fourth-order statistics) to form an iterative kurtosis-based detector (IKD). The IKD iteratively detects important peaks of the kurtosis, estimated within a sliding window along the signal under investigation, which indicate the presence of non-Gaussianity in the raw signal. The efficiency of the IKD has been illustrated by experimental results that demonstrate its ability to clearly detect bioacoustic signals of diagnostic interest in the presence of background signal with high amplitude.

Original languageBritish English
Pages (from-to)3787-3795
Number of pages9
JournalSignal Processing
Volume86
Issue number12
DOIs
StatePublished - Dec 2006

Keywords

  • Bioacoustic signals
  • Bowel sounds
  • Detection
  • Iterative kurtosis-based detector (IKD)
  • Lung sounds

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