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Automated Bowel Sound Analysis: An Overview.

Jan Krzysztof Nowak1, Robert Nowak2, Kacper Radzikowski2

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Automated bowel sound (BS) analysis is technologically advanced but lacks standardized methods. Developing common ground and benchmark datasets is crucial for clinical adoption of BS diagnostic tools.

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Area of Science:

  • Biomedical Engineering
  • Gastroenterology
  • Signal Processing

Background:

  • Automated bowel sound (BS) analysis lacks a consensus on methodology, hindering clinical application.
  • Existing BS tools are not widely adopted by medical professionals due to this lack of standardization.

Purpose of the Study:

  • To review literature on bowel sound (BS) recording and analysis methods.
  • To emphasize the diverse analytical approaches used in BS research.
  • To identify key areas for future development in BS analysis.

Main Methods:

  • Systematic literature search of scientific journals and conference materials using terms like 'bowel sound analysis' in databases (Scopus, MEDLINE, IEEE).
  • Analysis of identified research articles focusing on global research directions and analytical techniques.
  • Review of methods including wavelet transformations, multi-layer perceptrons, independent component analysis, and autoregressive-moving-average models.

Main Results:

  • Automated BS analysis methods were well-developed by the early 2000s, achieving over 90% accuracy with various techniques.
  • BS analysis shows significant potential in non-invasive diagnosis (e.g., irritable bowel syndrome), surgery, and gastrointestinal motility studies.
  • Recent advances involve artificial intelligence and dedicated BS devices.

Conclusions:

  • BS research is technologically mature but suffers from a lack of uniform methodology, a discussion forum, and data exchange platforms.
  • Establishing common ground and releasing expert-validated, open-access benchmark datasets are critical next steps.
  • Standardization is essential for the clinical integration of advanced BS analysis tools.