Video-Based Respiratory Rate Estimation for Infants in Low Resource Settings

Innovative digital health technologies present an opportunity to create affordable, sustainable, and scalable monitoring technology to expand access to care in low-income and middle-income countries. This study aims to develop computer algorithms that automatically estimate respiratory rate from videos of infants captured using a smartphone. Based on the gaps identified in previous research, this project focuses on using smartphone video data taken in environments containing lighting variations, with handheld videos containing movement artifacts. For this study, 57 videos were captured from 39 infants