Detalhes bibliográficos
| Ano de defesa: |
2021 |
| Autor(a) principal: |
Labarthe, Carla Marilia Loef
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| Orientador(a): |
Garibotti, Rafael Fraga
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| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
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| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Pontifícia Universidade Católica do Rio Grande do Sul
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| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Engenharia Elétrica
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| Departamento: |
Escola Politécnica
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| País: |
Brasil
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| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://tede2.pucrs.br/tede2/handle/tede/10065
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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. |
