Brain Computer Interface (BCI) Electroencephalography (EEG)

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• Published Subscription Review Article 14 Aug 2024

  Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential

  By Manas P. Patil, V.G. Raut, Krushna S. Rajkule, Rutuja M. Dusane

  Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …

  Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article →