Robust Subject-Independent P300 Waveform Classification via Signal Pre-Processing and Deep Learning

Robust Subject-Independent P300 Waveform Classification via Signal Pre-Processing and Deep Learning

Brain Computer Interfaces (BCIs) are capable of processing neural stimuli using electroencephalogram (EEG) measurements to aid communication capabilities. Yet, BCIs often require extensive calibration steps in order to be tuned to specific users. In this work, we develop a subject independent P300 c...

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Bibliographic Details
Main Authors: Rajeev Sahay, Christopher G. Brinton
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Brain–computer interface
deep learning
EEG
P300
machine learning
signal processing
Online Access:https://ieeexplore.ieee.org/document/9458239/

Internet

https://ieeexplore.ieee.org/document/9458239/

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