Initial study on changes in activity of brain waves during audio stimulation using noninvasive brain-computer interfaces: choosing the appropriate filtering method

• Autorzy: Browarska Natalia , Kawala-Sterniuk Aleksandra , Zygarlicki Jarosław

Identyfikatory

DOI

10.1515/bams-2020-0051

• Języki publikacji: EN

Abstrakty

EN

Objectives: In this paper series of experiments were carried out in order to check the influence of various sounds on human concentration during visually stimulated tasks performance. Methods: The obtained data was filtered. For the study purposes various smoothing filters were tested, including Median and Savitzky-Golay Filters; however, median filter only was applied. Implementation of this filter made the obtained data more legible and useful for potential diagnostics purposes. The tests were carried out with the implementation of the Emotiv Flex EEG headset. Results: The obtained results were promising and complied with the initial assumptions, which stated that the “relax”- phase, despite relaxing sounds stimuli, is strongly affected with the “focus”-phase with distracting sounds, which is clearly visible in the shape of the recorded EEG data. Conclusions: Further investigations with broader range of subjects is being currently carried out in order to confirm the already obtained results.

Słowa kluczowe

EN

brain-computer interfaces; digital filtering; electroencephalography; emotiv flex; signal processing

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2021
• Tom: Vol. 17, no. 2
• Strony: 79--93
• Opis fizyczny: Bibliogr. 34 poz., rys., tab.

Twórcy

autor

Browarska Natalia

• Faculty of Electrical Engineering, Automatic Control and Informatics - Opole University of Technology, Opole, Poland

autor

Kawala-Sterniuk Aleksandra

• Faculty of Electrical Engineering, Automatic Control and Informatics - Opole University of Technology, Opole, Poland

autor

Zygarlicki Jarosław

• Faculty of Electrical Engineering, Automatic Control and Informatics - Opole University of Technology, Opole, Poland

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).