P061 Measuring body movements during sleep: Sonomat versus video polysomnography

Abstract Background Restless sleep is frequently reported in children and is often linked to sleep fragmentation. Sleep-related movements can serve as indirect markers of sleep disruption. Polysomnography (PSG), while considered the gold standard, is resource-intensive and may interfere with natural sleep. The Sonomat, a contactless, home based system, offers a less intrusive alternative for detecting and quantifying these movements. Aim To compare the detection and quantification of sleep-related movements in children using the Sonomat versus PSG. Methods This retrospective study examined children undergoing simultaneous Sonomat and PSG recordings for suspected sleep-disordered breathing. Movement Index (MI) and Movement Duration (MD) were measured. Overlap and correlation between modalities were evaluated. Results Thirty six patients (15 Female, 21 male) with a median age of 5.9 years (IQR 3, range 2-12.4) underwent concurrent PSG and Sonomat for snoring. The Sonomat recorded more frequent movements (median MI 36.9/hr; IQR 13) and greater cumulative movement duration (median MD 12.3%; IQR 10.9) than PSG (median MI 20.6/hr; IQR 8.57; MD 8.6%; IQR 8.72). Sonomat captured 87.8% of PSG-detected movements, while PSG identified 49.4% of those detected by Sonomat. Differences diminished with longer movements, with no significant difference over 7 seconds. Correlation was strong for MD (Spearman’s r = 0.89, p<.001) and moderate for MI (r = 0.58, p<.001). Conclusion The Sonomat is a promising non-invasive alternative for assessing sleep-related movements in children. Its higher sensitivity to short-duration movements suggests potential utility, though further research is needed to establish normative data and explore clinical significance.

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Publication Details

Journal
SLEEP Advances
Published
2025-10-01
DOI
https://doi.org/10.1093/sleepadvances/zpaf053.121
Primary Topic
Sleep and Wakefulness Research
Type
article
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article

P061 Measuring body movements during sleep: Sonomat versus video polysomnography

Mark B. Norman, DA Fitzgerald, K Waters, Michael W. Lu et al.
SLEEP Advances
Sleep and Wakefulness Research
article

P061 Measuring body movements during sleep: Sonomat versus video polysomnography

Mark B. Norman, DA Fitzgerald, K Waters, Michael W. Lu, Colin E. Sullivan
article en

Abstract

Abstract Background Restless sleep is frequently reported in children and is often linked to sleep fragmentation. Sleep-related movements can serve as indirect markers of sleep disruption. Polysomnography (PSG), while considered the gold standard, is resource-intensive and may interfere with natural sleep. The Sonomat, a contactless, home based system, offers a less intrusive alternative for detecting and quantifying these movements. Aim To compare the detection and quantification of sleep-related movements in children using the Sonomat versus PSG. Methods This retrospective study examined children undergoing simultaneous Sonomat and PSG recordings for suspected sleep-disordered breathing. Movement Index (MI) and Movement Duration (MD) were measured. Overlap and correlation between modalities were evaluated. Results Thirty six patients (15 Female, 21 male) with a median age of 5.9 years (IQR 3, range 2-12.4) underwent concurrent PSG and Sonomat for snoring. The Sonomat recorded more frequent movements (median MI 36.9/hr; IQR 13) and greater cumulative movement duration (median MD 12.3%; IQR 10.9) than PSG (median MI 20.6/hr; IQR 8.57; MD 8.6%; IQR 8.72). Sonomat captured 87.8% of PSG-detected movements, while PSG identified 49.4% of those detected by Sonomat. Differences diminished with longer movements, with no significant difference over 7 seconds. Correlation was strong for MD (Spearman’s r = 0.89, p<.001) and moderate for MI (r = 0.58, p<.001). Conclusion The Sonomat is a promising non-invasive alternative for assessing sleep-related movements in children. Its higher sensitivity to short-duration movements suggests potential utility, though further research is needed to establish normative data and explore clinical significance.

SLEEP AdvancesVol. 6(Supplement_1)
The University of Sydney (AU), Children's Hospital at Westmead (AU), ResMed (Australia) (AU)
Openalex Percentile: Top 73%
Sleep and Wakefulness Research
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