@ARTICLE{Kielan_Paweł_Biofeedback_2020,
 author={Kielan, Paweł and Kciuk, Marek and Piecyk, Jakub},
 volume={vol. 66},
 number={No 4},
 journal={International Journal of Electronics and Telecommunications},
 pages={607-612},
 howpublished={online},
 year={2020},
 publisher={Polish Academy of Sciences Committee of Electronics and Telecommunications},
 abstract={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.},
 type={Article},
 title={Biofeedback Therapy Application with EEG Signal Visualization and the Optimization of Success Factor Algorithm},
 URL={http://ochroma.man.poznan.pl/Content/117113/PDF/82_2723_Kielan_skl_ber.pdf},
 doi={10.24425/ijet.2020.134018},
 keywords={Biofeedback therapy, EEG, success factor, Raspbery PI, brain waves},
}