The gateway to Europe's
integrated metrology community.

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis

Bench C., Aston P., Hegemann N., Strodthoff N., Charlton P., Coquelin L., Moulaeifard M., Desai V., Pfeffer O., Thompson A.
Keywords:

uncertainty quantification, photoplethysmography, PPG, uncertainty calibration, blood pressure, atrial fibrillation

Document type Article
Journal title / Source Machine Learning: Health
Volume 2
Issue 1
Page numbers / Article number 015011
Publisher's name IOP Publishing
Publisher's address (city only) Bristol, United Kingdom
Publication date 2026-1-1
ISSN 3049-477X
DOI 10.1088/3049-477X/ae4c8e

Back to the list view

Information

Name of Call / Funding Programme
Metrology Partnership 2022: Health