Análise de EEG de pacientes pós-AVC: comparativo de movimento real de membro inferior e imaginação motora

Detalhes bibliográficos
Ano de defesa: 2022
Autor(a) principal: Ferreira, Matheus Modolo
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal do Espírito Santo
BR
Mestrado em Biotecnologia
Centro de Ciências da Saúde
UFES
Programa de Pós-Graduação em Biotecnologia
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufes.br/handle/10/16213
Resumo: Cerebral Vascular Accident (CVA) affects thousands of people around the world, consequently bringing motor and visual damage, speech difficulties and other damage. It is known that the voluntary movement of the limbs reflects in a cerebral activation mainly on the cerebral motor cortex that can be captured by electroencephalogram (EEG) electrodes, however, similarly, an increase in cortical activity is also noticed during Motor Imagination activities ( IM) situation where the individual just thinks about the movement without actually performing it. This research used data from two patients from the Centro de Reabilitação Física do Espírito Santo (CREFES) who suffered a stroke to participate in the MI and active pedaling tests. The data were submitted to filtering through the Fast Fourier Transform, from the English Fast Fourier Transform (FFT) and Common Average Reference, from the English Common Average Reference (CAR), after the data were analyzed by Matlab software to determine the Relative Power (PR ). The results of the PR evaluation were compared during the active pedaling and IM task for each research participant, analyzing the alpha (8 to 12 Hz), low beta (13 to 22 Hz) and high beta (23 to 30 Hz) bands. ). The similarity ratio between active pedaling and MI reached 85.6% for one of the analyses, demonstrating levels of brain activation during MI similar to active pedaling