The Use of the BodySleep Algorithm (ResMed) for the Diagnosis of Obstructive Sleep Apnea Syndrome in Children

What this Trial Is About

Researchers are evaluating a simplified method to diagnose obstructive sleep apnea-hypopnea syndrome (OSA) in children. The current standard for diagnosis is polysomnography (PSG), which is performed in a hospital setting with many sensors and electrodes, making it challenging and time-consuming, especially for children. This study aims to validate the BodySleep automatic algorithm, which uses fewer sensors and focuses on respiratory signals to detect respiratory events related to OSA in children. The study uses the BodySleep algorithm applied to data from respiratory signals such as nasal cannula, thoracoabdominal straps, pulse oximetry, and actimetry. This method would reduce the number of sensors needed compared to standard PSG, which requires additional electrodes for brain and muscle activity monitoring. The PSG test is performed prospectively as part of routine care for children suspected of having OSA, and the BodySleep algorithm's performance is compared to the standard PSG results. Participants will undergo one night of PSG monitoring with video and nurse supervision to ensure sensor placement. Researchers compare the obstructive apnea-hypopnea index (OAHI) measured by the BodySleep algorithm with the OAHI from the full PSG to assess accuracy. The study involves children aged 2 to 18 suspected of OSA. The total participation includes the diagnostic PSG night, with data analysis to validate the new algorithm for potential simpler diagnosis in pediatric patients.

BodySleep Algorithm for OSA Diagnosis in Children