Modelo eletroacústico em eletroencefalografia

Detalhes bibliográficos
Ano de defesa: 2021
Autor(a) principal: Labarthe, Carla Marilia Loef lattes
Orientador(a): Garibotti, Rafael Fraga lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Pontifícia Universidade Católica do Rio Grande do Sul
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Elétrica
Departamento: Escola Politécnica
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://tede2.pucrs.br/tede2/handle/tede/10065
Resumo: Directed at optimizing electroencephalography (EEG), this master’s dissertation was written after qualitative epistemological research to explain the inconsistent contamination of the EEG signal by the cardiac electrical signal (ECG) - contamination associated with the reference electrode montage. The physical foundations for solving this inconsistency, resulting from the theoretical content analysis, point to the emergence of a new technological application: electroacoustic-encephalography (EaEG), in which the data collected by EEG instrumentation are interpreted as a result of the electroacoustic effect and reflect the relative motion of the anatomical structures of the head. This dissertation presents scientific foundations to explain: the origin of electrical potential variations detected in the head; the contraindication of the current electronic model; the fundamentals of the electroacoustic model; the influence of the reference electrode montage; the need to assess the frequency response of available instrumentation; the requirement for significant software changes. EaEG opens a new perspective for the study of the nervous system: monitoring of brain mechanics, with an excellent temporal resolution, low cost, in different environments.