Vision-Based Heart and Respiratory Rate Monitoring During Sleep – A Validation Study for the Population at Risk of Sleep Apnea

Vision-Based Heart and Respiratory Rate Monitoring During Sleep – A Validation Study for the Population at Risk of Sleep Apnea

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 po...

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Bibliographic Details
Main Authors: Kaiyin Zhu, Michael Li, Sina Akbarian, Maziar Hafezi, Azadeh Yadollahi, Babak Taati
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Cardiopulmonary rate
noncontact
sleep disordered breathing
computer vision
Online Access:https://ieeexplore.ieee.org/document/8868225/

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