Análisis de señales EEG con potencial uso en el control de una mano robótica por medio de la aplicación de imaginación motora

This work as a degree project is based on the analysis of electroencephalography (EEG) signals under the application of motor imagination (MI), specifically on the intention of hand movement, thus generating a brain-computer interface. The signals to be studied were downloaded from the free database...

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Bibliographic Details
Main Authors:	Balanta Quintero, José Manuel, López Franco, Dany Fernando
Other Authors:	Quinayas Burgos, Cesar Augusto
Format:	Trabajo de grado (Pregrado y/o Especialización)
Language:	spa
Published:	Universidad Antonio Nariño 2021
Subjects:	Imaginación motora mano robótica electroencefalografía interfaz cerebro-computadora sistema BCI2000 transformada Wavelet continua physionet. Motor imagery (MI) robotic hand electroencephalography (EEG) brain-computer interface BCI2000 system continuous Wavelet transform physionet
Online Access:	http://repositorio.uan.edu.co/handle/123456789/4594
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Summary:	This work as a degree project is based on the analysis of electroencephalography (EEG) signals under the application of motor imagination (MI), specifically on the intention of hand movement, thus generating a brain-computer interface. The signals to be studied were downloaded from the free database EEG Motor Movement / Imagery Dataset (eegmmidb) of PHYSIONET, these were acquired through the BCI2000 system where the electrodes are located superficially in healthy patients. The extraction of characteristics to apply the mental strategy (motor imagination), will be carried out through the application of the discrete Wavelet transform (daubechies) and for its classification two models are used based on: vector support machines and a feedforward neural network, visualizing the precision of each of the models used in the way of successes and failures through a confusion matrix