Abstract
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.
Highlights
A third of US adults report that they often sleep less than the recommended daily sleep time [15]
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
We present a fully-automatic living tissue detection method to enable continuous monitoring of pulse rate and oxygen saturation during sleep
Summary
A third of US adults report that they often sleep less than the recommended daily sleep time [15]. There are over 100 different types of sleep disorders like e.g. difficulty falling asleep, staying asleep, or excessive day-time sleepiness. Polysomnography (PSG) is the current gold-standard for the diagnosis of sleep disorders. This multi-parametric diagnostic tool requires a large collection of sensors attached to the skin of the patient to monitor sleep. After a nocturnal observational study a trained clinician annotates and scores the PSG data for events related to sleep disorders. The sensors attached to the subject are cumbersome, and often wired limiting the mobility of the patient. This causes stress, discomfort and adds to the sleep problem affecting the diagnostic value
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