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Open AccessArticle

Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation

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Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland
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Department of Computing and Information Systems, University of Greenwich, London SE10 9LS, UK
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Department of Cybernetics and Biomedical Engineering, FEECS, VSB-Technical University Ostrava, 708 00 Ostrava-Poruba, Czech Republic
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Department of Theoretical Basis of BioMedical Sciences and Medical Informatics, Nicolaus Copernicus University, Collegium Medicum, 85-067 Bydgoszcz, Poland
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Institute of Philosophy, Kazimierz Wielki University, 85-092 Bydgoszcz, Poland
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Outpatient Addiction Treatment, Babinski Specialist Psychiatric Healthcare Center, 91-229 Lodz, Poland
*
Author to whom correspondence should be addressed.
Brain Sci. 2021, 11(1), 98; https://doi.org/10.3390/brainsci11010098
Received: 7 December 2020 / Revised: 2 January 2021 / Accepted: 8 January 2021 / Published: 13 January 2021
(This article belongs to the Section Cognitive Neuroscience)
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. View Full-Text
Keywords: electroencephalography; Brain-Computer Interfaces; digital filtering; Emotiv Flex; signal processing electroencephalography; Brain-Computer Interfaces; digital filtering; Emotiv Flex; signal processing
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MDPI and ACS Style

Browarska, N.; Kawala-Sterniuk, A.; Zygarlicki, J.; Podpora, M.; Pelc, M.; Martinek, R.; Gorzelańczyk, E.J. Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation. Brain Sci. 2021, 11, 98. https://doi.org/10.3390/brainsci11010098

AMA Style

Browarska N, Kawala-Sterniuk A, Zygarlicki J, Podpora M, Pelc M, Martinek R, Gorzelańczyk EJ. Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation. Brain Sciences. 2021; 11(1):98. https://doi.org/10.3390/brainsci11010098

Chicago/Turabian Style

Browarska, Natalia; Kawala-Sterniuk, Aleksandra; Zygarlicki, Jaroslaw; Podpora, Michal; Pelc, Mariusz; Martinek, Radek; Gorzelańczyk, Edward J. 2021. "Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation" Brain Sci. 11, no. 1: 98. https://doi.org/10.3390/brainsci11010098

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