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"BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic ..."

Aurélien Appriou et al. (2021)

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DOI: 10.3390/S21175740

access: open

type: Journal Article

metadata version: 2024-10-06

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  - journals/sensors/AppriouPTDCL21
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Aurélien Appriou, Léa Pillette, David Trocellier, Dan Dutartre, Andrzej Cichocki, Fabien Lotte:
BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification. Sensors 21(17): 5740 (2021)

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