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Albus Home 无接触式呼吸率监测系统的性能:一种用于家庭夜间监测的自动化系统:验证研究。

Performance of Contactless Respiratory Rate Monitoring by Albus Home, an Automated System for Nocturnal Monitoring at Home: A Validation Study.

机构信息

Albus Health, Oxford OX4 2HN, UK.

Respiratory Medicine Unit, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7FZ, UK.

出版信息

Sensors (Basel). 2022 Sep 21;22(19):7142. doi: 10.3390/s22197142.

Abstract

Respiratory rate (RR) is a clinically important predictor of cardio-respiratory deteriorations. The mainstay of clinical measurement comprises the manual counting of chest movements, which is variable between clinicians and limited to sporadic readings. Emerging solutions are limited by poor adherence and acceptability or are not clinically validated. Albus Home is a contactless and automated bedside system for nocturnal respiratory monitoring that overcomes these limitations. This study aimed to validate the accuracy of Albus Home compared to gold standards in real-world sleeping environments. Participants undertook overnight monitoring simultaneously using Albus Home and gold-standard polygraphy with thoraco-abdominal respiratory effort belts (SomnomedicsEU). Reference RR readings were obtained by clinician-count of polygraphy data. For both the Albus system and reference, RRs were measured in 30-s segments, reported as breaths/minute, and compared. Accuracy was defined as the percentage of RRs from the Albus system within ±2 breaths/minute of reference counts. Across a diverse validation set of 32 participants, the mean accuracy exceeded 98% and was maintained across different participant characteristics. In a Bland-Altman analysis, Albus RRs had strong agreement with reference mean differences and the limits of agreement of -0.4 and ±1.2 breaths/minute, respectively. Albus Home is a contactless yet accurate system for automated respiratory monitoring. Validated against gold -standard methods, it enables long-term, reliable nocturnal monitoring without patient burden.

摘要

呼吸频率(RR)是预测心肺恶化的一个重要临床指标。临床测量的主要方法是手动计数胸部运动,这种方法在临床医生之间存在差异,并且只能进行零星的读数。新兴的解决方案存在依从性和可接受性差的问题,或者未经临床验证。Albus Home 是一种用于夜间呼吸监测的非接触式自动化床边系统,可以克服这些限制。本研究旨在验证 Albus Home 与金标准在真实睡眠环境中的准确性。参与者同时使用 Albus Home 和金标准多导睡眠图(SomnomedicsEU)进行夜间监测,使用胸腹呼吸努力带。参考 RR 读数通过对多导睡眠图数据的临床医生计数获得。对于 Albus 系统和参考系统,RR 均以 30 秒为一段进行测量,以每分钟呼吸次数报告,并进行比较。准确性定义为 Albus 系统的 RR 读数中,有多少百分比在参考计数的±2 次/分钟内。在一个多样化的 32 名参与者验证组中,平均准确性超过 98%,并在不同的参与者特征中保持一致。在 Bland-Altman 分析中,Albus RR 与参考平均值的差异具有很强的一致性,差异的界限分别为-0.4 和±1.2 次/分钟。Albus Home 是一种用于自动呼吸监测的非接触式且准确的系统。它经过金标准方法验证,可以在不增加患者负担的情况下进行长期、可靠的夜间监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd59/9573065/9436aef72848/sensors-22-07142-g001.jpg

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