New algorithms for processing time-series big EEG data within mobile health monitoring systems.

•We developed three novel algorithms to process and analyze real time series EEG.•Data transformation relies on compression to reduce transfer time and size of data and increase the network transfer rate.•Data storage and parallel processing is efficiently handled thanks to MapReduce platform.•Interactive mobile visualization allows better identification and analysis of epileptic seizures.•Its applicability is experimentally proven while monitoring epileptic diseases.