Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators

Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators

Motor imaging (MI) induces recovery and neuroplasticity in neurophysical regulation. However, a non-negligible portion of users presents insufficient coordination skills of sensorimotor cortex control. Assessments of the relationship between wakefulness and tasks states are conducted to foster neuro...

Full description

Bibliographic Details
Main Authors: Julian Caicedo-Acosta, German A. Castaño, Carlos Acosta-Medina, Andres Alvarez-Meza, German Castellanos-Dominguez
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
motor imagery
BCI inefficiency
functional connectivity
neural regression
media and information literacy
Online Access:https://www.mdpi.com/1424-8220/21/6/1932

Similar Items

Similar Items