Please use this identifier to cite or link to this item: https://repositorio.ufu.br/handle/123456789/28620
ORCID:  http://orcid.org/0000-0002-3616-941X
Document type: Dissertação
Access type: Acesso Aberto
Title: Enhancing EEG spacial resolution using ESI: a motor control study
Alternate title (s): Aprimorando a resolução espacial do EEG usando ESI: um estudo de controle motor
Author: Schmiele, Eric Ferreira
First Advisor: Soares, Alcimar Barbosa
First member of the Committee: Destro Filho, João Batista
Second member of the Committee: Elias, Leonardo Abdala
Summary: Though electroencephalography (EEG) signals have been widely used to extract brain information they have a low spatial resolution and are not as capable as invasive techniques for applications which demand more specific information from the brain, which would highly enhance the power of brain machine interfaces (BMIs). Because of that, there is a great interest in enhancing EEG's spatial resolution using electromagnetic source imaging (ESI), which combines EEG signals and magnetic resonance images (MRI) to reconstruct the brain's internal current sources (CSs). To investigate the level of information enhancement that ESI can achieve, we proposed to investigate the brain activity differences in signal behavior and position during different movements from the same limb. To do that we applied ESI to simulated data for initial validation, reaching an average correlation coefficient of 0.99 and an average physical displacement of 15.0 mm comparing simulated and calculated signals. Then we applied ESI to EEG recordings of hand, wrist and elbow movements and compared the source signals to the expected neural behavior known from the literature. Thanks to ESI, we reconstructed more than 8000 source points from a total of 61 electrodes enhancing the resolution from an average of 24.69 mm to 3.67 mm. Thanks to this enhancement we were able to analyze spatial and time-frequency information which correlated with the performed movements in accordance to the literature. Therefore, we showed the potential of ESI for applications that demand a better interpretation of brain signals in questions of control of different movements from a single limb.
Abstract: Though electroencephalography (EEG) signals have been widely used to extract brain information they have a low spatial resolution and are not as capable as invasive techniques for applications which demand more specific information from the brain, which would highly enhance the power of brain machine interfaces (BMIs). Because of that, there is a great interest in enhancing EEG's spatial resolution using electromagnetic source imaging (ESI), which combines EEG signals and magnetic resonance images (MRI) to reconstruct the brain's internal current sources (CSs). To investigate the level of information enhancement that ESI can achieve, we proposed to investigate the brain activity differences in signal behavior and position during different movements from the same limb. To do that we applied ESI to simulated data for initial validation, reaching an average correlation coefficient of 0.99 and an average physical displacement of 15.0 mm comparing simulated and calculated signals. Then we applied ESI to EEG recordings of hand, wrist and elbow movements and compared the source signals to the expected neural behavior known from the literature. Thanks to ESI, we reconstructed more than 8000 source points from a total of 61 electrodes enhancing the resolution from an average of 24.69 mm to 3.67 mm. Thanks to this enhancement we were able to analyze spatial and time-frequency information which correlated with the performed movements in accordance to the literature. Therefore, we showed the potential of ESI for applications that demand a better interpretation of brain signals in questions of control of different movements from a single limb.
Keywords: Electroencephalography
Spatial resolution
Electromagnetic Source Imaging
Motion control
Single limb
Area (s) of CNPq: CNPQ::ENGENHARIAS::ENGENHARIA BIOMEDICA
Language: eng
Country: Brasil
Publisher: Universidade Federal de Uberlândia
Program: Programa de Pós-graduação em Engenharia Biomédica
Quote: SCHMIELE, Eric Ferreira. Enhancing EEG spacial resolution using ESI: a motor control study. 2019. 61 f. Dissertação (Mestrado em Engenharia Biomédica) - Universidade Federal de Uberlândia, Uberlândia, 2019. Disponível em: http://doi.org/10.14393/ufu.di.2020.40.
Document identifier: http://doi.org/10.14393/ufu.di.2020.40
URI: https://repositorio.ufu.br/handle/123456789/28620
Date of defense: 18-Dec-2019
Appears in Collections:DISSERTAÇÃO - Engenharia Biomédica

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