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使用基于雷达的睡眠监测仪(Somnofy)对健康成年人进行非接触式纵向呼吸频率测量:验证研究。

Noncontact Longitudinal Respiratory Rate Measurements in Healthy Adults Using Radar-Based Sleep Monitor (Somnofy): Validation Study.

作者信息

Toften Ståle, Kjellstadli Jonas T, Thu Ole Kristian Forstrønen, Ellingsen Ole-Johan

机构信息

Department of Data Science and Research, VitalThings AS, Tønsberg, Norway.

VitalThings AS, Tønsberg, Norway.

出版信息

JMIR Biomed Eng. 2022 Aug 12;7(2):e36618. doi: 10.2196/36618.

Abstract

BACKGROUND

Respiratory rate (RR) is arguably the most important vital sign to detect clinical deterioration. Change in RR can also, for example, be associated with the onset of different diseases, opioid overdoses, intense workouts, or mood. However, unlike for most other vital parameters, an easy and accurate measuring method is lacking.

OBJECTIVE

This study aims to validate the radar-based sleep monitor, Somnofy, for measuring RRs and investigate whether events affecting RR can be detected from personalized baselines calculated from nightly averages.

METHODS

First, RRs from Somnofy for 37 healthy adults during full nights of sleep were extensively validated against respiratory inductance plethysmography. Then, the night-to-night consistency of a proposed filtered average RR was analyzed for 6 healthy participants in a pilot study in which they used Somnofy at home for 3 months.

RESULTS

Somnofy measured RR 84% of the time, with mean absolute error of 0.18 (SD 0.05) respirations per minute, and Bland-Altman 95% limits of agreement adjusted for repeated measurements ranged from -0.99 to 0.85. The accuracy and coverage were substantially higher in deep and light sleep than in rapid eye movement sleep and wake. The results were independent of age, sex, and BMI, but dependent on supine sleeping position for some radar orientations. For nightly filtered averages, the 95% limits of agreement ranged from -0.07 to -0.04 respirations per minute. In the longitudinal part of the study, the nightly average was consistent from night to night, and all substantial deviations coincided with self-reported illnesses.

CONCLUSIONS

RRs from Somnofy were more accurate than those from any other alternative method suitable for longitudinal measurements. Moreover, the nightly averages were consistent from night to night. Thus, several factors affecting RR should be detectable as anomalies from personalized baselines, enabling a range of applications. More studies are necessary to investigate its potential in children and older adults or in a clinical setting.

摘要

背景

呼吸频率(RR)可以说是检测临床病情恶化最重要的生命体征。例如,RR的变化也可能与不同疾病的发作、阿片类药物过量、剧烈运动或情绪有关。然而,与大多数其他生命参数不同,目前缺乏一种简单准确的测量方法。

目的

本研究旨在验证基于雷达的睡眠监测仪Somnofy测量RR的准确性,并研究是否可以从根据每晚平均值计算的个性化基线中检测出影响RR的事件。

方法

首先,对37名健康成年人在整夜睡眠期间使用Somnofy测得的RR与呼吸感应体积描记法进行了广泛验证。然后,在一项初步研究中,对6名健康参与者使用Somnofy在家中进行3个月监测的结果,分析了提议的滤波平均RR在不同夜晚之间的一致性。

结果

Somnofy在84%的时间内测量了RR,平均绝对误差为每分钟0.18次呼吸(标准差0.05),经重复测量调整后的布兰德-奥特曼95%一致性界限为-0.99至0.85。深度和浅睡眠时的准确性和覆盖率明显高于快速眼动睡眠和清醒状态。结果与年龄、性别和体重指数无关,但对于某些雷达方向,取决于仰卧睡眠姿势。对于每晚的滤波平均值,95%一致性界限为每分钟-0.07至-0.04次呼吸。在研究的纵向部分,每晚的平均值在不同夜晚之间保持一致,所有显著偏差都与自我报告的疾病相符。

结论

Somnofy测得的RR比任何其他适用于纵向测量的替代方法都更准确。此外,每晚的平均值在不同夜晚之间保持一致。因此,几个影响RR的因素应可作为与个性化基线的异常情况被检测到,从而实现一系列应用。有必要进行更多研究来调查其在儿童和老年人或临床环境中的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3b/11041471/3cf3c7969a0b/biomedeng_v7i2e36618_fig1.jpg

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