Biofeedback Therapy Application with EEG Signal Visualization and the Optimization of Success Factor Algorithm

• Autorzy: Kielan Paweł , Kciuk Marek , Piecyk Jakub

Identyfikatory

DOI

10.24425/ijet.2020.134018

• Języki publikacji: EN

Abstrakty

EN

In this paper the biofeedback therapy application is presented. The application is implemented in desired biofeedback system based on RaspberyPI. The EEG signal is taken using popular headset with forehead probe and ear reference one. A patient is trying to focus on desired task and should keep attention level above threshold, the threshold is given and monitor by therapist. The success factor during one therapy session should be more than about 80%, so therapist have to control the threshold. The application consists algorithm for automatic threshold correction based on interview with experienced therapist.

Słowa kluczowe

EN

biofeedback therapy; EEG; success factor; RaspberryPI; brain waves

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2020
• Tom: Vol. 66, No. 4
• Strony: 607--612
• Opis fizyczny: Bibliogr. 14 poz., rys., schem., tab., wykr.

Twórcy

autor

Kielan Paweł

• Silesian University of Technology, Faculty of Electrical Engineering, Chair of Mechatronics

autor

Kciuk Marek

• Silesian University of Technology, Faculty of Electrical Engineering, Chair of Mechatronics

autor

Piecyk Jakub

• Silesian University of Technology, Faculty of Electrical Engineering, Chair of Mechatronics

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).