A study on Analog and Digital EEG Signal Filtering for Brain Computer Interfaces (BCI)

Brain Computer Interface (BCI) is a robot/machine communication based on brain activity. The main purpose of BCIs are facilitate the living of disables which has hearing, vision or mobility disabilities. The first and most basic step of the implementation of this system is obtain the recordings of brain signals known as Electroencephalography (EEG). In this study, we aimed to obtain regular EEG signals which were cleaned from negative impacts for BCIs. In this context, analog and digital filter effects were focused to achieve effective and clean EEG signals. Analog and dijital low/high pass filter effects examined on EEG and suitable filter rates are identifyed for clean signals.