An optimized deep learning approach based on autoencoder network for P300 detection in brain computer interface systems

Background. Brain computer interface (BCI) systems by extracting knowledge from brain signals provide a connection channel to the outside world for disabled people, without physiological interfaces. Event-related potentials (ERPs) are a specific type of electroencephalography signals and P300 is one...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Ramin Afrah, Zahra Amini, Rahele Kafieh, Alireza Vard
Format:	Artigo
Sprache:	Persa
Veröffentlicht:	Tabriz University of Medical Sciences 2022-10-01
Schriftenreihe:	مجله پزشکی دانشگاه علوم پزشکی تبریز
Schlagworte:	artificial intelligence p300 brain computer interface (bci) classification deep learning
Online-Zugang:	https://mj.tbzmed.ac.ir/PDF/mj-44-270.pdf
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