Off-the-shelf, consumer-grade EEG equipment is nowadays becoming the first-choice equipment for many scientists when it comes to recording brain waves for research purposes. On one hand, this is perfectly understandable due to its availability and relatively low cost (especially in comparison to some clinical-level EEG devices), but, on the other hand, quality of the recorded signals is gradually increasing and reaching levels that were offered just a few years ago by much more expensive devices used in medicine for diagnostic purposes. In many cases, a well-designed filter and/or a well-thought signal acquisition method improve the signal quality to the level that it becomes good enough to become subject of further analysis allowing to formulate some valid scientific theories and draw far-fetched conclusions related to human brain operation. In this paper, we propose a smoothing filter based upon the Savitzky-Golay filter for the purpose of EEG signal filtering. Additionally, we provide a summary and comparison of the applied filter to some other approaches to EEG data filtering. All the analyzed signals were acquired from subjects performing visually involving high-concentration tasks with audio stimuli using Emotiv EPOC Flex equipment.

Department of Computing and Information Systems University of Greenwich London SE10 9LS UK

Department of Cybernetics and Biomedical Engineering FEECS VSB Technical University Ostrava 708 00 Ostrava Poruba Czech Republic

Department of Theoretical Basis of BioMedical Sciences and Medical Informatics Nicolaus Copernicus University Collegium Medicum 85 067 Bydgoszcz Poland

Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology 45 758 Opole Poland

Institute of Philosophy Kazimierz Wielki University 85 092 Bydgoszcz Poland

Outpatient Addiction Treatment Babinski Specialist Psychiatric Healthcare Center 91 229 Lodz Poland

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