Development of a bowel sound detector adapted to demonstrate the effect of food intake.

Journal: Biomedical engineering online
Published Date: Jan 4, 2022

Abstract

OBJECTIVE: Bowel sounds (BS) carry useful information about gastrointestinal condition and feeding status. Interest in computerized bowel sound-based analysis has grown recently and techniques have evolved rapidly. An important first step for these analyses is to extract BS segments, whilst neglecting silent periods. The purpose of this study was to develop a convolutional neural network-based BS detector able to detect all types of BS with accurate time stamps, and to investigate the effect of food consumption on some acoustic features of BS with the proposed detector.

Authors

  • Ning Wang
    Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, Shandong, China.
  • Alison Testa
    Noisy Guts Pty Ltd, Level 2, L-block, QEII Medical Site, Nedlands, WA, 6009, Australia.
  • Barry J Marshall
    The Marshall Centre for Infectious Diseases Research and Training, University of Western Australia, Perth, 6009, Australia.

Keywords

External Resources

Popular Topics
Recent Journals