Efficient deep learning-based estimation of the vital signs on smartphones
Nowadays, due to the widespread use of smartphones in everyday life and the improvement
of computational capabilities of these devices, many complex tasks can now be deployed on …
of computational capabilities of these devices, many complex tasks can now be deployed on …
SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals
Foundation models, especially those using transformers as backbones, have gained
significant popularity, particularly in language and language-vision tasks. However, large …
significant popularity, particularly in language and language-vision tasks. However, large …
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch
Accurate extraction of heart rate from photoplethysmography (PPG) signals remains
challenging due to motion artifacts and signal degradation. Although deep learning methods …
challenging due to motion artifacts and signal degradation. Although deep learning methods …
[PDF][PDF] Robust Heart Rate Detection via Multi-Site Photoplethysmography
Smartwatches have become popular for monitoring physiological parameters outside
clinical settings. Using reflective photoplethysmography (PPG) sensors, such watches can …
clinical settings. Using reflective photoplethysmography (PPG) sensors, such watches can …