Identification of motor imagery tasks using power-based connectivity descriptors from EEG signals

In recent years, functional connectivity has been studied through electroencephalography signals to analyze the patterns generated by the electrical conductions of the brain. In BCI systems, the paradigm of motor imagery has been used to generate patterns to identify the user’s intention. However, t...

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Bibliographic Details

Main Author:	Guerrero Méndez, Cristian David
Other Authors:	Ruiz Olaya, Andrés Felipe
Format:	Trabajo de grado (Pregrado y/o Especialización)
Language:	eng
Published:	Universidad Antonio Nariño 2022
Subjects:	Electroencefalografía (EEG) Cerebro- Interfaz de computadora Conectividad basada en energía Conectividad funcional 621.7 Electroencephalography (EEG) Brain- Computer Interface (BCI) Power-Based Connectivity Functional Connectivity
Online Access:	http://repositorio.uan.edu.co/handle/123456789/6578
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