Higher-order-statistics-based fractal dimension for noisy bowel sound detection

Ming Jen Sheu, Ping Yi Lin, Jen Yin Chen, Chien Ching Lee, Bor-Shyh Lin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Bowel sounds is an important physiological parameter of distinguishing the gastrointestinal motility dysfunction. Auscultation of bowel sounds provides a noninvasive way for clinical diagnosis, but it is also easily affected by environmental noise. In this study, a novel higher-order-statistics (HOS)-based fractal dimension algorithm was proposed for detecting noisy bowel sounds. By using the nature of preserving non-Gaussianity for higher order statistics technique, the proposed method can effectively detect bowel sounds under different noise conditions, and its performance is insensitive to the change of noise type and noise level.

Original languageEnglish
Article number6952970
Pages (from-to)789-793
Number of pages5
JournalIEEE Signal Processing Letters
Volume22
Issue number7
DOIs
StatePublished - 1 Jul 2015

Keywords

  • Bowel sound
  • Environmental noise
  • Fractal dimension
  • Higher order statistics

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