Validation of a wrist monitor for accurate estimation of RR intervals during sleep

Abstract

While the incidence of sleep disorders is continuously increasing in western societies, there is a clear demand for technologies to asses sleep-related parameters in ambulatory scenarios. The present study introduces a novel concept of accurate sensor to measure RR intervals via the analysis of photo-plethysmographic signals recorded at the wrist. In a cohort of 26 subjects undergoing full night polysomnography, the wrist device provided RR interval estimates in agreement with RR intervals as measured from standard electrocardiographic time series. The study showed an overall agreement between both approaches of 0.05 ± 18 ms. The novel wrist sensor opens the door towards a new generation of comfortable and easy-to-use sleep monitors.

Determination of saturation, heart rate, and respiratory rate at forearm using a Nellcor™ forehead SpO2-saturation sensor

“…HR measurement was found to be very accurate, with a high correlation between the devices. This is in line with previous findings suggesting good accuracy [3][4][5]. Indeed, the RMSE for HR measurement was constantly low despite all confounding factors.…”

“…The clinical signs most commonly associated with patient deterioration are arterial blood oxygen saturation (SpO 2 ), heart rate (HR), respiratory rate (RR), and blood pressure [2]. There is presently no single device capable of wirelessly monitoring all of these parameters, although several reports describe attempts to develop such a device [3][4][5].…”

Comparison between Electrocardiographic and Earlobe Pulse Photoplethysmographic Detection for Evaluating Heart Rate Variability in Healthy Subjects in Short- and Long-Term Recordings

“…Some studies have recently assessed the performances of wearable devices, such as smart bands, in monitoring physiological changes while walking, running or sleeping [ 26 ]. However, such devices have strong limitations, such as low perfusion in the wrist area and unstable beat detection due to motion [ 2 ].…”

JLR heart: Employing wearable technology in non-intrusive driver state monitoring. Preliminary study

“…None of the commercially available smartwatches are able to provide such data rate yet. In contrast, Renevey et al [19] have demonstrated a proprietary wrist-worn devices capable of measuring RR intervals in real-time. The future studies aiming to embedded wrist-worn CEDs for physiological tracking in driving context should address this limitation.…”