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Session: Sleep
Session starts: Thursday 24 January, 10:30
Presentation starts: 11:30
Room: Lecture room 558

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Xenia Hoppenbrouwer (University of Twente)
Parastoo Dehkordi (University of British Columbia)
Aryannah Rollinson (University of British Columbia )
Dustin Dunsmuir (Children's & Women's Health Centre of British Columbia)
Mark Ansermino (Children's & Women's Health Centre of British Columbia)
Guy Dumont (University of British Columbia)
Ainara Garde (University of Twente)

Abstract:
Background Obstructive Sleep Apnea (OSA), the most common type of sleep disordered breathing, can result in developmental complications in children. Polysomnography (PSG), the gold standard to diagnose OSA, is resource intensive and confined to the hospital. The Phone oximeter (PO), a smartphone-based pulse oximeter that measures blood oxygen saturation (SpO2), can be a promising alternative to screen for OSA. To assess the PO’s reliability detecting OSA at home, we evaluated the night-to-night variability of overnight pulse oximetry recorded with the PO. Material and Methods Dataset: 74 children suspected of OSA and referred for PSG were recruited and pulse oximetry over multiple nights was recorded using the PO, including one night at the hospital simultaneously with the PSG and two nights at home. Analysis: SpO2 values below 70% and above 100% were considered artefacts and removed. Only SpO2 recordings with more than 3 hours of good quality were studied. The SpO2 analysis consisted of investigating the night-to-night variability of the oxygen desaturations index (ODI) and additional time-frequency features. ODI was defined as the amount of desaturations (>3% decrease from baseline) lasting at least one second. In addition, the SpO2 signal was characterized using a 2-minute sliding window (no overlap) from which variability features (e.g. time below 94%, t94%) and modulation features (i.e power in the modulation frequency band, PM) were extracted. The overnight distribution and the night-to-night variability of every feature were studied using linear mixed models. Results We characterized the SpO2 signals of 68 children (42 non-OSA, 26 OSA), with 63 PO recordings at the hospital and 53 and 46 recordings for the first and second night at home. ODI and SpO2 variability features showed significant differences between non-OSA and OSA (ODI: 1.41±1.32, 3.70±3.98 (m±std), p<0.01), but without any significant variability between nights (ODI: 2.03±2.76, 2.71±3.53, 2.19±2.21, combining both OSA and non-OSA groups). In general, no significant night-to-night variability was found in the overnight distribution of the rest of the studied features (i.e. PM). Conclusion Generally, the distribution of all features showed no significant night-to-night variability, which shows that PO could be used at home to screen for OSA.