Métodos Computacionais e Estatísticos no Estudo das Ondas de Frequência dos Sinais Eletroencefalográficos e o Envelhecimento: uma Abordagem Através da Análise Linear do Discriminante

The Central Nervous System (CNS) and neuronal signals carry information that represents changes throughout life. This study seeks to establish some correlation between brain activity as a function of age, from the record of electroencephalographic signals (EEG), in subjects not suffering from neurological disorders, while performing a certain task. There were 59 healthy subjects that voluntarily participated in this study, which were divided into 07 groups, with ages between 20 and 86 years and both sexes. EEG signals were collected "simultaneously" in three different experimental protocols during the execution of the Spiral of Archimedes. The electrodes were positioned according to the international standard 10/20, using the channels C3 and C4 of the central region. Statistical analyses were performed to identify differences and allow discrimination between the characteristics of each group according to the presented changes. The data were processed with software MATLAB. Among the results, significant differences were observed, via LDA-value. The tool has satisfactorily performed the separation of discriminant features, classifying each group of individuals that have high correlation as a function of age. It can be concluded by the analysis of the characteristics used that there is the separability between groups according to age, contributing significantly to register the changes that occurred during the aging process.