Efficient Deep Learning-based Estimation of the Vital Signs on Smartphones

arXiv:2204.08989v3 Announce Type: replace-cross
Abstract: With the increasing use of smartphones in our daily lives, these devices have become capable of performing many complex tasks. Concerning the need for continuous monitoring of vital signs, especially for the elderly or those with certain types of diseases, the development of algorithms that can estimate vital signs using smartphones has attracted researchers worldwide. In particular, researchers have been exploring ways to estimate vital signs, such as heart rate, oxygen saturation levels, and respiratory …

abstract algorithms arxiv become continuous continuous monitoring cs.ai cs.cv cs.lg daily deep learning development devices diseases eess.iv eess.sp elderly monitoring smartphones tasks type types vital