SleepImage® as a tool for investigating sleep in children at high risk of comorbid sleep disorders

Liam Beaumont1, Lauren C Nisbet2, Nicole Verginis1

  • 1Melbourne Children's Sleep Centre, Monash Children's Hospital, Monash Health, Melbourne, Australia.

Sleep Medicine
|August 13, 2026
PubMed

Insights

The SleepImage (SI) device shows promise for assessing sleep in children with neurodisability, demonstrating good tolerability and utility in ruling out moderate-severe obstructive sleep apnoea (OSA). Further research is needed to improve its diagnostic yield.

Area of Science:

  • Pediatric Sleep Medicine
  • Neurodisability Research
  • Medical Device Technology

Background:

  • Children with neurodisability frequently experience sleep disorders, posing challenges for traditional polysomnography (PSG).
  • Home sleep assessment devices offer a potential alternative for monitoring sleep in this population.

Purpose of the Study:

  • To evaluate the tolerability of the SleepImage (SI) device in children with neurodisability.
  • To compare SI respiratory and non-respiratory sleep outcomes with PSG.
  • To assess SI's diagnostic accuracy for obstructive sleep apnoea (OSA) and its correlation with PSG-derived sleep quality.

Main Methods:

  • A paired diagnostic accuracy study was conducted in a specialist children's hospital.
  • Children aged 3-18 with neurodisability underwent concurrent SI and PSG monitoring.
  • Acceptable recordings required at least 4 hours of sleep data on both devices and SI signal quality above 80%.

Main Results:

  • Of 48 recruited children, 20 had acceptable recordings; SI tolerance was 70% when excluding technical issues.
  • SI's diagnostic yield was 49%.
  • SI showed a 100% negative predictive value for moderate-severe OSA, though it overestimated severity in milder cases and underestimated it in severe cases. The SI Sleep Quality Index (SQI) negatively correlated with the arousal index (r=-0.45, p=0.046).

Conclusions:

  • The SleepImage device is generally tolerated by children with neurodisability, but signal quality issues limit its diagnostic yield.
  • SI is valuable for excluding moderate-to-severe obstructive sleep apnoea.
  • The device can help identify non-OSA related causes of poor sleep quality in this population.
Abstract