This paper is in the following e-collection/theme issue:

Foundations of AI (57) Research Methodology - AI (33) AI Data (19)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51118, first published .
Multiscale Bowel Sound Event Spotting in Highly Imbalanced Wearable Monitoring Data: Algorithm Development and Validation Study

Multiscale Bowel Sound Event Spotting in Highly Imbalanced Wearable Monitoring Data: Algorithm Development and Validation Study

Multiscale Bowel Sound Event Spotting in Highly Imbalanced Wearable Monitoring Data: Algorithm Development and Validation Study

Authors of this article:

Annalisa Baronetto1, 2 Author Orcid Image ;   Luisa Graf3 Author Orcid Image ;   Sarah Fischer4, 5 Author Orcid Image ;   Markus F Neurath4, 5 Author Orcid Image ;   Oliver Amft1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Baronetto A, Fischer S, Neurath M, Amft O. Automated inflammatory bowel disease detection using wearable bowel sound event spotting. Frontiers in Digital Health 2025;7 View
  2. Sood D, Riaz Z, Mikkilineni J, Ravi N, Chidipothu V, Yerrapragada G, Elangovan P, Shariff M, Natarajan T, Janarthanan J, Asadimanesh N, Karuppiah S, Gopalakrishnan K, Arunachalam S. Prospects of AI-Powered Bowel Sound Analytics for Diagnosis, Characterization, and Treatment Management of Inflammatory Bowel Disease. Medical Sciences 2025;13(4):230 View

Conference Proceedings

  1. Nguyen M, Messerschmidt M, Gupta C, Nanayakkara S. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. GutIO: Toward Sensing and Inducing Gut Feelings with Abdominal Sounds View