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Vision-Based Heart and Respiratory Rate Monitoring During Sleep -- A Validation Study for the Population at Risk of Sleep Apnea
2019
IEEE Journal of Translational Engineering in Health and Medicine
A reliable, accessible, and non-intrusive method for tracking respiratory and heart rate is important for improving monitoring and detection of sleep apnea. In this study, an algorithm based on motion analysis of infrared video recordings was validated in 50 adults referred for clinical overnight polysomnography (PSG). The algorithm tracks the displacements of selected feature points on each sleeping participant and extracts respiratory rate using principal component analysis and heart rate
doi:10.1109/jtehm.2019.2946147
pmid:32166048
pmcid:PMC6889941
fatcat:22bz34vuqrc2ppelcydr5hmghi