Automated inflammatory bowel disease detection using wearable bowel sound event spotting
Baronetto A, Fischer S, Neurath M, Amft O (2025)
Publication Type: Journal article
Publication year: 2025
Journal
Book Volume: 7
Article Number: 1514757
DOI: 10.3389/fdgth.2025.1514757
Abstract
Introduction: Inflammatory bowel disorders may result in abnormal Bowel Sound (BS) characteristics during auscultation. We employ pattern spotting to detect rare bowel BS events in continuous abdominal recordings using a smart T-shirt with embedded miniaturised microphones. Subsequently, we investigate the clinical relevance of BS spotting in a classification task to distinguish patients diagnosed with inflammatory bowel disease (IBD) and healthy controls. Methods: Abdominal recordings were obtained from 24 patients with IBD with varying disease activity and 21 healthy controls across different digestive phases. In total, approximately 281 h of audio data were inspected by expert raters and thereof 136 h were manually annotated for BS events. A deep-learning-based audio pattern spotting algorithm was trained to retrieve BS events. Subsequently, features were extracted around detected BS events and a Gradient Boosting Classifier was trained to classify patients with IBD vs. healthy controls. We further explored classification window size, feature relevance, and the link between BS-based IBD classification performance and IBD activity. Results: Stratified group K-fold cross-validation experiments yielded a mean area under the receiver operating characteristic curve ≥0.83 regardless of whether BS were manually annotated or detected by the BS spotting algorithm. Discussion: Automated BS retrieval and our BS event classification approach have the potential to support diagnosis and treatment of patients with IBD.
Authors with CRIS profile
Sarah Fischer
Department of Medicine 1 – Gastroenterology, Pneumology and Endocrinology
Markus Neurath
Lehrstuhl für Innere Medizin I (Medizin 1)
Involved external institutions
Germany (DE)How to cite
APA:
Baronetto, A., Fischer, S., Neurath, M., & Amft, O. (2025). Automated inflammatory bowel disease detection using wearable bowel sound event spotting. Frontiers in Digital Health, 7. https://doi.org/10.3389/fdgth.2025.1514757
MLA:
Baronetto, Annalisa, et al. "Automated inflammatory bowel disease detection using wearable bowel sound event spotting." Frontiers in Digital Health 7 (2025).
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