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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Kaiyin Zhu, Michael Li, Sina Akbarian, Maziar Hafezi, Azadeh Yadollahi, Babak Taati
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2019-01-01
coleção:	IEEE Journal of Translational Engineering in Health and Medicine
Assuntos:	Cardiopulmonary rate noncontact sleep disordered breathing computer vision
Acesso em linha:	https://ieeexplore.ieee.org/document/8868225/
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!