Pediatric Nocturnal Respiratory Rate Monitoring Using a Non-Contact and Passive Bedside Device: Accuracy of the Albus Home Research Device (RD)

Wheeler, Christopher; Do, William; Vos, M. De; Russell, Robert B.; Bafadhel, Mona

doi:10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a3464

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“…Albus Home RD (Research Device; Albus Health, Oxford, UK) is a CE-marked contactless and automated bedside device that enables nocturnal monitoring without the need to do or wear anything. Albus Home RD monitors multiple metrics including respiratory rate, cough and room air quality, with potential to capture additional metrics, such as body motion and sleep-related metrics [ 23 , 24 ]. The contactless nature of this system enables collection of longitudinal data across several nights and weeks without adding burden.…”

Section: Introductionmentioning

confidence: 99%

Performance of cough monitoring by Albus Home, a contactless and automated system for nocturnal respiratory monitoring at home

Do¹,

Russell

Wheeler

et al. 2022

ERJ Open Res

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IntroductionObjective cough frequency is a key clinical endpoint but existing wearable monitors are limited to 24-h recordings. Albus Home uses contactless motion, acoustic and environmental sensors to monitor multiple metrics, including respiratory rate and cough without encroaching on patient lifestyle. The aim of this study was to evaluate measurement characteristics of nocturnal cough monitoring by Albus Home compared to manual counts.MethodsAdults with respiratory conditions underwent overnight monitoring using Albus Home in their usual bedroom environments. Participants set-up the plug-and-play device themselves. For reference counts, each audio recording was counted by two annotators, and cough defined as explosive phases audio-visually labelled by both. In parallel, recordings were processed by a proprietary Albus system, comprising a deep-learning algorithm with a human screening step for verifying or excluding occasional events that mimic cough. Performance of the Albus system in detecting individual cough events and reporting hourly cough counts was compared against reference counts.Results30 nights from 10 subjects comprised 375 h(h) of recording. Mean (s.d.) coughs/night were 90 (76). Coughs·h−1 ranged from 0 to 129. Albus counts were accurate across hours with high and low cough frequencies, with median sensitivity, specificity, positive-predictive-value, negative-predictive-values of 94.8,100.0,99.1, and 100.0% respectively. Agreement between Albus and reference was strong (Intra-class Correlation Coefficient[ICC] 0.99; 95%CI 0.99-0.99; p<0.001) and equivalent to agreement between observers and reference counts (ICC 0.98, 0.99 respectively).ConclusionsAlbus Home provides a unique, contactless and accurate system for cough monitoring, enabling collection of high-quality and potentially clinically relevant longitudinal data.

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Section: Introductionmentioning

confidence: 99%