Early-stage pilot study on using fractional-order calculus-based filtering for the purpose of analysis of electroencephalography signals

Abstract

Analysis of Electroencephalography (EEG) signals has recently awoken the increased interest of numerous researchers all around the world with regard to rapid development of Brain-Computer Interaction-related research areas and because EEG signals are implemented in most of the non-invasive BCI systems, as they provide necessary information regarding activity of the brain. In this paper, a very early stage pilot study on implementation of filtering based on fractional-order calculus (Bi-Fractional Filters - BFF) for the purpose of EEG signal classification is presented in brief.