ArticleScientific reports2025
Clinical study of an integrated sensor system for detection and classification of obstructive sleep apnea (OSA).
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Characteristics of Abdominal Movement Signals Measured by a Wireless Abdomen-Worn Sensor During Home Sleep Apnea Testing: Pilot Observational Study.JMIR formative research · 2026Observational
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Authors and funding
9 authors.
Funding
Abstract
Obstructive Sleep Apnea (OSA) is traditionally diagnosed via Polysomnography (PSG), which relies on multiple wired sensors in an unfamiliar hospital setting. In this study, a compact home-sleep-test system is proposed, integrating a fringing-field capacitive sensor for wireless respiratory-effort monitoring system([Formula: see text], and a nasal airflow sensing system (2 cm×2 cm) with an connected 2 cm × 1 cm temperature sensor (both wired to the processing unit). A customized signal-processing algorithm was developed to denoise both channels and automatically identify apnea and hypopnea events. Validation with subjects (n = 31) demonstrated performance metrics (SN = 0.846, SP = 0.944, Precision = 0.917, and Accuracy = 0.903, [Formula: see text] ) in classifying OSA severity. By combining novel capacitive fringing-field sensing and temperature-based airflow measurement into a largely wireless wearable, a practical and accurate alternative to traditional PSG for at-home OSA detection is offered.
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