A Brute-Force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs

A Brute-Force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs

The ultimate goal of Brain-Computer Interface (BCI) research is to enable individuals to interact with their environment by translating their mental imagery. In this regard, a salient issue is the identification of brain activity patterns that can be used to classify intention. Using Electroencephal...

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Bibliographic Details
Main Authors: Berdakh Abibullaev, Irina Dolzhikova, Amin Zollanvari
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Brain-computer interfaces
motor imagery
deep learning
convolutional neural network
model selection
brute-force search
Online Access:https://ieeexplore.ieee.org/document/9099856/

Internet

https://ieeexplore.ieee.org/document/9099856/

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