Appriou, A.; Pillette, L.; Trocellier, D.; Dutartre, D.; Cichocki, A.; Lotte, F.
BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification. Sensors 2021, 21, 5740.
https://doi.org/10.3390/s21175740
AMA Style
Appriou A, Pillette L, Trocellier D, Dutartre D, Cichocki A, Lotte F.
BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification. Sensors. 2021; 21(17):5740.
https://doi.org/10.3390/s21175740
Chicago/Turabian Style
Appriou, Aurélien, Léa Pillette, David Trocellier, Dan Dutartre, Andrzej Cichocki, and Fabien Lotte.
2021. "BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification" Sensors 21, no. 17: 5740.
https://doi.org/10.3390/s21175740
APA Style
Appriou, A., Pillette, L., Trocellier, D., Dutartre, D., Cichocki, A., & Lotte, F.
(2021). BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification. Sensors, 21(17), 5740.
https://doi.org/10.3390/s21175740