2 papers
cs.SD2026
Towards Objective Gastrointestinal Auscultation: Automated Segmentation and Annotation of Bowel Sound Patterns
Zahra Mansour, Verena Uslar, Dirk Weyhe +2
Bowel sounds (BS) are typically momentary and have low amplitude, making them difficult to detect accurately through manual auscultation. This leads to significant variability in c…
cs.SD2025
Benchmarking machine learning for bowel sound pattern classification from tabular features to pretrained models
Zahra Mansour, Verena Uslar, Dirk Weyhe +2
The development of electronic stethoscopes and wearable recording sensors opened the door to the automated analysis of bowel sound (BS) signals. This enables a data-driven analysis…