Fully-automatic camera-based pulse-oximetry during sleep

被引:22
|
作者
Vogels, Tom [1 ]
van Gastel, Mark [1 ]
Wang, Wenjin [2 ]
de Haan, Gerard [2 ]
机构
[1] Eindhoven Univ Technol, Eindhoven, Netherlands
[2] Philips Res, Eindhoven, Netherlands
关键词
REMOTE-PPG;
D O I
10.1109/CVPRW.2018.00183
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Current routines for the monitoring of sleep require many sensors attached to the patient during a nocturnal observational study, limiting mobility and causing stress and discomfort. Cameras have shown promise in the remote monitoring of pulse rate, respiration and oxygen saturation, which potentially allows a reduction in the number of sensors. Applying these techniques in a sleep setting is challenging, as it is unknown upfront which portion of the skin will be visible, there is no unique skin-color outside the visible range, and the pulsatility is low in infrared. We present a fully-automatic living tissue detection method to enable continuous monitoring of pulse rate and oxygen saturation during sleep. The system is validated on a dataset where various typical sleep scenarios have been simulated. Results show the proposed method to outperform the current state-of-the-art, especially for the estimation of oxygen saturation.
引用
收藏
页码:1430 / 1438
页数:9
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