2 citations · 2 across the 3 of their papers we have counts for
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cs.LG2023
Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features
Filipe A. C. Oliveira, Felipe M. Dias, Marcelo A. F. Toledo +5
Diabetes is a prevalent chronic condition that compromises the health of millions of people worldwide. Minimally invasive methods are needed to prevent and control diabetes but mos…
cs.LG2023★ 2 cited
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices
Felipe M. Dias, Marcelo A. F. Toledo, Diego A. C. Cardenas +5
Photoplethysmography (PPG) is a non-invasive technology that measures changes in blood volume in the microvascular bed of tissue. It is commonly used in medical devices such as pul…