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

Foundations of AI (47) Research Methodology - AI (14) AI Data (13)

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 Tweetations Metrics

Annalisa Baronetto   1, 2 , MSc ;   Luisa Graf   3 , MSc ;   Sarah Fischer   4, 5 , MD, PhD ;   Markus F Neurath   4, 5 , MD ;   Oliver Amft   1, 2 , PhD

1 Hahn-Schickard, Freiburg, Germany

2 Intelligent Embedded Systems Lab, University of Freiburg, Freiburg, Germany

3 Chair of Digital Health, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany

4 Medical Clinic 1, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany

5 Deutsches Zentrum Immuntherapie, Erlangen, Germany

Corresponding Author: