Pre-processing Block Design for the Electroencephalography Signal by Using Notch Filter and Blind Source Separation Technique

The digital filters play an indispensable role in recording and displaying EEG data. Without filters, many segments of EEG would be virtually unreadable. The main benefit of filters is that it makes the EEG tracing cleaner, easier to interpret and observe. Specific filter settings can also be used to accentuate particular types of EEG activity. Filters can, however, be misused, and at times their use can lead to unintended consequences. In this study, we present and compare the conventional filter design methods applied to significant types of noises. We built a program with a friendly interface with effective noise filtering.