O036 Performance characteristics of a contactless under-mattress sleep analyser in a clinical sleep laboratory: Are automated sleep analysers ready for prime time?

Abstract Introduction Contactless under-mattress sleep analysers which estimate sleep architecture and breathing disturbances have the potential to alleviate wait times for diagnostic sleep studies and enable multi-night sleep assessments. Objective To evaluate the performance characteristics of a commercially available pneumatic under-mattress sleep analyser (UMSA) during overnight laboratory-based polysomnography (PSG) in an unselected sleep clinic population. Methods To date, simultaneous UMSA and PSG recordings have been obtained in 74 individuals. After removing studies with insufficient sleep duration (i.e., Total Sleep Time (TST) <5-h, n=7) or recording discrepancies (n=12), TST, rapid-eye movement (REM) duration and apnoea-hypopnea index (AHI) were compared between UMSA and PSG. Results Average TST (416±56 vs 355±7min, p<0.001) and REM duration (83±48 vs 60±34min, p=0.006) were significantly longer for UMSA than PSG, while mean AHI (19.4±24.2 vs 16.3±21.6 events/h, p=0.495) was similar. Mean AHI difference between UMSA and PSG was 3.1 events/h with 95% limits of agreement between -23.6 to 29.8 events/h. The sensitivity, specificity, and area under the receiver operating curve (AUC) at a threshold of AHI≥5 was 78.6%, 56.5% and 0.744AUC. At a threshold of AHI≥15 the sensitivity, specificity, and AUC were 80.0%, 69.4% and 0.902AUC. Conclusions Estimates of TST and REM duration from an under-mattress sleep analyser were not comparable to laboratory-based polysomnography. Mean AHI was similar albeit with large limits of agreement and the under-mattress sleep analyser had moderate diagnostic accuracy to detect an AHI>5 when compared to polysomnography. Caution is required in the application of under-mattress sleep analysers for research and clinical purposes.

Authors

Institutions

Publication Details

Journal
SLEEP Advances
Published
2024-10-01
DOI
https://doi.org/10.1093/sleepadvances/zpae070.036
Citations
1
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

O036 Performance characteristics of a contactless under-mattress sleep analyser in a clinical sleep laboratory: Are automated sleep analysers ready for prime time?

B Tong, Glenn M. Stewart, Peter A. Cistulli, Gary Cohen et al.
1 citations
SLEEP Advances
Context-Aware Activity Recognition Systems
0.25
article

O036 Performance characteristics of a contactless under-mattress sleep analyser in a clinical sleep laboratory: Are automated sleep analysers ready for prime time?

B Tong, Glenn M. Stewart, Peter A. Cistulli, Gary Cohen, James G. Flood
article en
1 citations

Abstract

Abstract Introduction Contactless under-mattress sleep analysers which estimate sleep architecture and breathing disturbances have the potential to alleviate wait times for diagnostic sleep studies and enable multi-night sleep assessments. Objective To evaluate the performance characteristics of a commercially available pneumatic under-mattress sleep analyser (UMSA) during overnight laboratory-based polysomnography (PSG) in an unselected sleep clinic population. Methods To date, simultaneous UMSA and PSG recordings have been obtained in 74 individuals. After removing studies with insufficient sleep duration (i.e., Total Sleep Time (TST) <5-h, n=7) or recording discrepancies (n=12), TST, rapid-eye movement (REM) duration and apnoea-hypopnea index (AHI) were compared between UMSA and PSG. Results Average TST (416±56 vs 355±7min, p<0.001) and REM duration (83±48 vs 60±34min, p=0.006) were significantly longer for UMSA than PSG, while mean AHI (19.4±24.2 vs 16.3±21.6 events/h, p=0.495) was similar. Mean AHI difference between UMSA and PSG was 3.1 events/h with 95% limits of agreement between -23.6 to 29.8 events/h. The sensitivity, specificity, and area under the receiver operating curve (AUC) at a threshold of AHI≥5 was 78.6%, 56.5% and 0.744AUC. At a threshold of AHI≥15 the sensitivity, specificity, and AUC were 80.0%, 69.4% and 0.902AUC. Conclusions Estimates of TST and REM duration from an under-mattress sleep analyser were not comparable to laboratory-based polysomnography. Mean AHI was similar albeit with large limits of agreement and the under-mattress sleep analyser had moderate diagnostic accuracy to detect an AHI>5 when compared to polysomnography. Caution is required in the application of under-mattress sleep analysers for research and clinical purposes.

SLEEP AdvancesVol. 5(Supplement_1)
The University of Sydney (AU), Royal North Shore Hospital (AU)
Openalex Percentile: Top 43%
Context-Aware Activity Recognition Systems
0.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.