TY - JOUR N2 - 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. L1 - http://www.czasopisma.pan.pl/Content/117113/PDF/82_2723_Kielan_skl_ber.pdf L2 - http://www.czasopisma.pan.pl/Content/117113 PY - 2020 IS - No 4 EP - 612 DO - 10.24425/ijet.2020.134018 KW - Biofeedback therapy KW - EEG KW - success factor KW - Raspbery PI KW - brain waves A1 - Kielan, Paweł A1 - Kciuk, Marek A1 - Piecyk, Jakub PB - Polish Academy of Sciences Committee of Electronics and Telecommunications VL - vol. 66 DA - 2020.12.02 T1 - Biofeedback Therapy Application with EEG Signal Visualization and the Optimization of Success Factor Algorithm SP - 607 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/117113 T2 - International Journal of Electronics and Telecommunications ER -