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Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches

Moulaeifard M., Charlton P., Aston P., Thompson A., Marozas V., Heiss C., Alastruey J., Nandi M., Vardanega S., Hegemann N., Bench C., Pfeffer O., Sološenko A., Rinkevičius M., Coquelin L., Strodthoff N.
Keywords:

Photoplethysmography Machine learning Deep neural networks Blood pressure estimation Atrial fibrillation detection

Document type Article
Journal title / Source Biomedical Signal Processing and Control
Volume 120
Page numbers / Article number 109831
Publisher's name Elsevier BV
Publisher's address (city only) Amsterdam, NX, Netherlands
Publication date 2026-1-1
ISSN 1746-8094
DOI 10.1016/j.bspc.2026.109831

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Information

Name of Call / Funding Programme
Metrology Partnership 2022: Health