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Published on: October 2, 2019
Validation of actigraphy for determining sleep and wake in children with sleep disordered breathing
Melissa Hyde1, Denise M O'Driscoll, Sonia Binette
1Melbourne Children's Sleep Unit, Department of Respiratory and Sleep Medicine, Monash Medical Centre, Victoria, Australia.
Insights
Wrist actigraphy reliably determines sleep in children compared to polysomnography (PSG). This sleep monitoring tool shows high accuracy for sleep detection, making it valuable for pediatric sleep research and clinics.
Area of Science:
- Pediatric Sleep Medicine
- Biomedical Engineering
- Clinical Validation Studies
Background:
- Limited validation studies exist for actigraphy in pediatric sleep-wake determination.
- Actigraphy is a non-invasive method for sleep monitoring.
- Polysomnography (PSG) is the gold standard for sleep assessment.
Purpose of the Study:
- To validate wrist actigraphy against polysomnography (PSG) for sleep and wake determination in children.
- To compare the accuracy of different activity threshold settings on actigraphy devices.
- To assess the reliability of actigraphy in a pediatric population.
Main Methods:
- 45 children (aged 1-12 years) underwent concurrent wrist actigraphy and overnight PSG.
- Actigraphic data were analyzed using four activity threshold settings: low, medium, high, and auto.
- Epoch-by-epoch comparison of actigraphy and PSG data was performed.
Main Results:
- Sleep time estimation was comparable between actigraphy (low/auto thresholds) and PSG.
- Wake time was underestimated by actigraphy (low/auto thresholds) but accurately estimated by medium/high thresholds.
- High agreement rates (85.1-88.6%) and sensitivity (90.1-97.7%) were observed for sleep detection.
- Predictive value for wake and specificity were generally low across thresholds.
Conclusions:
- Wrist actigraphy is a reliable method for determining sleep in children when validated against PSG.
- Actigraphy demonstrates potential as a useful tool in pediatric sleep clinics and research.
- Optimal threshold settings may be necessary for accurate wake detection in pediatric actigraphy.
Abstract:
There have been limited studies of the validation of actigraphy for the determination of sleep and wake in children and in this study we aimed to compare wrist actigraphy with polysomnography (PSG). We studied 45 children (29 M/16 F), aged between 1 and 12 years (5.8 +/- 2.7 years, mean +/- SD). Actigraphic data were collected during standard overnight PSG. Data from the actiwatch were analysed over four separate activity threshold settings (low, medium, high, auto). Actigraphic data were compared epoch-by-epoch with the matching PSG. Sleep time was not different from PSG values for the low or auto activity thresholds, but was significantly less on the medium and high activity thresholds (P < 0.05). In contrast, the low and auto activity thresholds significantly underestimated wake time (P < 0.05), whilst that recorded on the medium and high activity thresholds were not different to PSG values. Agreement rates across the thresholds were all high ranging from 85.1% to 88.6%. Predictive value for sleep and sensitivity were also high with values ranging from 91.6% to 94.9% and 90.1% to 97.7%, respectively. In contrast, predictive value for wake and specificity were low ranging between 46.7-65.6% and 39.4-68.9%, respectively. There was no effect of subject age, OAHI or PSG arousal index on AR for any of the activity thresholds. We conclude that actigraphy is a reliable method for determining sleep in children when compared against PSG. Actigraphy may be a useful tool in paediatric sleep clinics and research.
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