Modelo eletroacústico em eletroencefalografia

• Autor(a) principal: Labarthe, Carla Marilia Loef
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_RS
• Texto Completo: http://tede2.pucrs.br/tede2/handle/tede/10065
• topic: Efeito Eletroacústico; Modelo Eletroacústico; Eletroacustico-Encefalografia; EaEG; Eletroencefalografia; Electroacoustic Effect; Electroacoustic Model; Electroacoustic-Encephalography; EaEG; Electroencephalography; ENGENHARIAS

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.