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...

Full description

Autores:

Guerrero Méndez, Cristian David

Tipo de recurso:

Trabajo de grado de pregrado

Fecha de publicación:

2021

Institución:

Universidad Antonio Nariño

Repositorio:

Repositorio UAN

Idioma:

eng

OAI Identifier:

oai:repositorio.uan.edu.co:123456789/6578

Acceso en línea:

http://repositorio.uan.edu.co/handle/123456789/6578

Palabra clave:

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

Rights

closedAccess

License

Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)