Mathematical Complexity in Three Dimensions to Help to Interpret Long Term EEG in Children Epilepsy

It is well known that severe children epilepsy requires numerous EEG studies to provide a di erential diagnostic when possible. In addition, sometimes it is necessary to order long term EEG. Typical cases of such severe affections (formerly called intractable) are Doose syndrome (DS) and Lennox-Gastaut syndrome (LGS) which are especially difficult to deal with. In this document we propose to comprise the long term EEG information in a complexity-based surface (three dimensional complexity plot). Moreover, this 3D plot will be animated computationally in order to observe long term evolution of an epileptic syndrome in a single (or multiple) EEG channel. Thus, minutes or hours of EEG records can be observed and interpreted shortly, graphically and objectively by 3D surfaces. A set of 80 time series which corresponds to four EEG records were investigated. They were obtained from a little patient which has suffered a time-varying disease, which started as DS but has been evolving as a LGS. Instead of studying long rolls of EEG which correspond to 4 years in a subjective way it is shown here how to interpret complexity surfaces to provide conclusions about massive-multiple-long term EEG in severe children epilepsy. Ricardo Zavala-Yoe1, Ricardo A Ramirez-Mendoza1* and Luz M Cordero2 1Escuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Mexico 2Instituto Nacional de Pediatria, Mexico *Corresponding author: Ricardo A Ramirez-Mendoza, Escuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Mexico, Email: [email protected] Published Date: May 20, 2016