Respiratory monitoring and apnoea detection in paediatric and neonatal patients using a wearable accelerometer-based chest sensor: protocol for an observational diagnostic feasibility study (2025)¶

Status: pending Scraped: 2026-08-12 Source: semantic_scholar Relevance: Related

Authors: H. Vennard, E. Buchan, Jennifer Miller et al.

Citation: H. Vennard, E. Buchan, Jennifer Miller et al. (2025), Respiratory monitoring and apnoea detection in paediatric and neonatal patients using a wearable accelerometer-based chest sensor: protocol for an observational diagnostic feasibility study, semantic_scholar. Type: Determine after review

Abstract¶

Introduction Accurate evaluation of respiratory rate and pattern is important in health and disease; however, it can be challenging in children and babies due to small size and poor tolerability of existing monitoring equipment. This protocol outlines a study evaluating the feasibility of collecting…

Key Contribution¶

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Design¶

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Key Results¶

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Impact¶

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Linked To¶

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Data Quality Assessment¶

Field	Assessment
Subject selection	How were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?
Data acquisition	How was data physically acquired? Device model (E4, Empatica, WHOOP, Polar, dedicated sensor), sampling rate, placement, firmware version.
Acquisition context	From whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based? Naturalistic or controlled?
Gold standard labels	How were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation, chart review? Inter-rater reliability reported?
Data validation	How were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, manual inspection, automated QC pipeline?
Missingness	n=X subjects — do all have complete data? Missing at random, missing completely at random, or missing not at random? Is missingness correlated with outcome?