Análises de atividades oscilatórias de EEG durante treinamento cognitivo e análise espectral de Holo-Hilbert

Abstract

In this work we developed a protocol for the analysis of a cognitive training (TC), in order to raise the performance in bulldozer operators of Vale S.A. This research took part of the POAD (High performance operators' program) Innovation Project of the Vale Technological Institute ITV). The protocols of the TC were based in Neurofeedback (NFB), in order to develop the ability to self-regulate cerebral frequencies, based on electroencephalogram (EEG) analysis. In this research, the Holo-Hilbert Spectral Analysis (HHSA) for the study of amplitude modulation (AM) band frequency (FM) of the rhythms that compose the cerebral frequencies. The HHSA was based on empirical mode decomposition (EMD) in two layers. First the EEG signal has been decomposed in a series of intrinsic mode function in modulated frequency (IMFs) and then every IMF modulated in frequency have been decomposed in a sel of IMFs modulated in amplitude. thus. the present work explores the eflicicney of an TC bas s on modulated frequency and amplitude variations in EEG data obtained via NFB. The results show statistical relevance for the group-who went through the TC showing the effects of the application of TC, Moreover validate the efficacy of HHSA in the extraction of informative characteristics from the signals