A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder

A calibration procedure is required in motor imagery-based brain-computer interface (MI-BCI) to tune the system for new users. This procedure is time-consuming and prevents naive users from using the system immediately. Developing a subject-independent MI-BCI system to reduce the calibration phase i...

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Vydané v:	2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Ročník 2022; s. 218 - 221
Hlavní autori:	Ayoobi, Navid, Sadeghian, Elnaz Banan
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.01.2022
Predmet:	Brain modeling Deep learning Feature extraction Filter banks Machine learning algorithms Simulation Supervised learning
ISSN:	2694-0604, 2694-0604
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