A New Approach for Motor Imagery Classification Based on Sorted Blind Source Separation, Continuous Wavelet Transform, and Convolutional Neural Network

A New Approach for Motor Imagery Classification Based on Sorted Blind Source Separation, Continuous Wavelet Transform, and Convolutional Neural Network

Brain-Computer Interfaces (BCI) are systems that allow the interaction of people and devices on the grounds of brain activity. The noninvasive and most viable way to obtain such information is by using electroencephalography (EEG). However, these signals have a low signal-to-noise ratio, as well as...

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Bibliographic Details
Main Authors: César J. Ortiz-Echeverri, Sebastián Salazar-Colores, Juvenal Rodríguez-Reséndiz, Roberto A. Gómez-Loenzo
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
brain-computer interface
blind source separation
movement related independent component
wavelet transform
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/19/20/4541

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https://www.mdpi.com/1424-8220/19/20/4541

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