Clinical grade SpO2 prediction through semi-supervised learning

Autor: Gurvan Priem, Coralie Martinez, Guy Carrault, Quentin Bodinier

Publikováno v: BIBE
20th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2020
20th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2020, Oct 2020, Cincinnati, United States. pp.914-921, ⟨10.1109/BIBE50027.2020.00155⟩

International audience; We reuse photoplethysmography (PPG) datasets obtained during the clinical testing of a wrist-worn reflectance pulse oximeter and build a deep neural network (DNN) with the goal of achieving RMSE \lt 3.5% for SpO2 levels rangin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1f057e225b17eaa801eb66b19a0ba89
https://doi.org/10.1109/bibe50027.2020.00155