Related Experiment Video
Updated: Jan 11, 2026
Multi-Modal Home Sleep Monitoring in Older Adults
Published on: January 26, 2019
Validation of a Wireless, Self-Applied Device for Sleep Recording in the Paediatric Population
Antonella Iadarola1, Ramona Cordani1,2, Marco Veneruso1,2
1Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Insights
The Sleep Profiler (SP) is a reliable ambulatory device for pediatric sleep studies, showing good agreement with polysomnography (PSG). Manual scoring of SP data is accurate, but automatic scoring needs improvement for clinical use.
Area of Science:
- Sleep Medicine
- Pediatric Sleep Evaluation
- Ambulatory Monitoring
Background:
- Polysomnography (PSG) is the gold standard for sleep studies but faces compliance and setup challenges in children.
- Ambulatory sleep monitoring devices offer a potential solution to overcome limitations of traditional PSG in pediatric populations.
- The Sleep Profiler (SP) is a self-applied ambulatory PSG device previously validated in adults.
Purpose of the Study:
- To evaluate the reliability and accuracy of the Sleep Profiler (SP) in a pediatric population for the first time.
- To compare SP recordings with standard PSG in adolescents aged 11-15 years.
- To assess both manual and automatic scoring of SP data against expert-scored PSG.
Main Methods:
- Simultaneous standard PSG and SP recordings were obtained from 14 hospitalized pediatric patients.
- Recordings were independently scored by two certified sleep medicine experts blinded to patient identity.
- Agreement was assessed using confusion matrices and Cohen's kappa coefficient (κ), with PSG as the reference; sleep macrostructure was analyzed using Bland-Altman plots.
Main Results:
- Manual scoring of SP data (SP1) demonstrated substantial agreement with standard PSG (κ > 0.80 for REM, wake, and N3 sleep).
- Automatic scoring algorithms (AA1, AA2) showed markedly lower agreement (κ < 0.70).
- SP1 exhibited high specificity (>96%) for most sleep stages and good sensitivity (>84% for most stages), with minimal bias in sleep macrostructure parameters.
Conclusions:
- The Sleep Profiler (SP) is a reliable tool for sleep monitoring in pediatric populations, overcoming compliance and setup issues.
- Manual scoring of SP data is accurate, but automatic scoring requires further refinement for clinical application.
- The SP's robust detection of REM and N3 sleep makes it suitable for clinical and research use in children and adolescents.
Purpose:
Although polysomnography (PSG) is the gold standard for sleep evaluation, its use in children and adolescents is limited by poor compliance and the time-consuming setup required. For the first time in a paediatric population, this study tested the Sleep Profiler (SP), a self-applied ambulatory PSG device previously validated in adults.
Patients And Methods:
Simultaneous standard PSG and SP recordings were acquired from hospitalized patients (n=14), aged 11 to 15 years, and independently scored by two certified sleep medicine experts, blinded to patient identity. Epoch-by-epoch agreement between manually scored PSG, manually scored SP and automatically scored SP records was assessed using confusion matrices and Cohen's kappa coefficient (κ), with PSG as the reference. Sleep macrostructure measures were compared using Bland-Altman analysis.
Results:
Manual scoring of SP data (SP1) showed substantial agreement with standard PSG across all stages, particularly for REM (κ=0.83), wake (κ=0.83), and N3 (κ=0.82). By contrast, automatic scoring algorithms (AA1 and AA2) provided by the device performed markedly worse (κ always below 0.70). SP1 resulted particularly strong in stage discrimination (specificity over 96% for wake, N1, N3, REM, and 88% in N2), with a sensitivity above 84% in all stages, except N1, which was lower at 55%. Moreover, Bland-Altman plots showed minimal bias and good agreement for sleep macrostructure parameters. These findings were further supported by a robust interrater reliability between scorers (κ=0.82).
Conclusion:
The SP represents a reliable tool for sleep monitoring even in contexts where low compliance and time-consuming setups may compromise the quality or feasibility of standard recordings, such as in paediatric populations. While automatic scoring requires further refinement, and relatively small sample size should be considered when interpreting the generalizability of the findings, its robust detection especially of REM and N3 sleep make it suitable for both clinical and research applications.
