- Tytuł:
- Biofeedback Therapy Application with EEG Signal Visualization and the Optimization of Success Factor Algorithm
- Autorzy:
-
Kielan, Paweł
Kciuk, Marek
Piecyk, Jakub - Powiązania:
- https://bibliotekanauki.pl/articles/1844450.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
biofeedback therapy
EEG
success factor
RaspberryPI
brain waves - Opis:
- 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.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2020, 66, 4; 607-612
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki
Artykuł