Ruetsche, AdrianBaumann, AnnJiang, XiaoyiMojon, Daniel2018-09-182018-09-1820030030-3755https://depositonce.tu-berlin.de/handle/11303/8192http://dx.doi.org/10.14279/depositonce-7347Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.Objective: To present a quick algorithm to automatically analyze the raw data acquired by a photo-oculography (POG) system. Methods: We developed a simple algorithm for POG data analysis based on an extrapolation of missing values due to blinking and on exclusion of outliers using the robust mean and standard deviation. Results: POG curves of 4 children aged between 1.5 and 7 years are shown before and after automatic analysis. After applying our algorithm, the curves are much smoother. Conclusion: Our algorithm allows a quick data analysis and will help to better interpret and analyze POG data.en610 Medizin und GesundheitPhoto-oculographyvisual pursuiteye movement recordingdata analysisdiagnostic techniquesArticle1423-0267