TY - JOUR T1 - Analysis of video-amplified body parameters in pediatric sleep JF - European Respiratory Journal JO - Eur Respir J VL - 44 IS - Suppl 58 SP - P3274 AU - Marije Kamphuis AU - Frans de Jongh AU - Janneke Hilderink AU - Ron Vaartjes AU - Joanne Goorhuis AU - Boony Thio Y1 - 2014/09/01 UR - http://erj.ersjournals.com/content/44/Suppl_58/P3274.abstract N2 - Background: Diagnosis of Sleep Disordered Breathing (SDB) in pediatrics is commonly based on subjective findings, and at times validated by over-night poly(somno)graphy. Pediatricians seek for less expensive and more convenient ways to diagnose or screen for SDB.Objectives: Eulerian Video Magnification (EVM) is a novel method that visualizes subtle changes in videos to extract useful body parameters. This study was focused on exploring the potential of EVM, whereby a proof of principle experiment was set up to extract respiration rate (RR) from chest wall movement under ideal settings. The ultimate goal is to improve diagnostic efficiency in pediatric sleep medicine.Methods: The test person was asked to lay still on a bed, which we filmed with a web-cam for several minutes and amplified 15X using EVM (Wu et al., SIGGRAPH 2012). Both the original and motion-amplified (MA) video were analyzed, with a respiratory inductance plethysmography belt as reference.Results: Respiratory effort was most visible in the MA video. Both videos showed similar RRs compared to the reference method with a mean difference in RR of respectively -0.05±0.38 and -0.08±0.46 bpm. The potential of EVM seems diverse. When EVM aims to extract multiple body parameters overnight, there are many obstacles to overcome first (i.e. movement in sleep and visibility of other relevant parameters). A simple visualization tool seems easier to apply (i.e. a representative MA video of the child's typical sleep pattern might give extra, objective information during consultation).Conclusion: Our data showed acceptable RR values for both video analyses. We foresee promising applications in pediatric sleep medicine using the EVM method. ER -