Melhoria da eficiência da estimação de frequências de potenciais evocados visuais de estado estacionário utilizando métodos paramétricos de alta resolução
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2019-02-28
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Universidade Federal de Goiás
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This work presents an analysis of electroencephalographic signal processing focusing on steady-
state visual evoked potentials. It is sought to improve the estimation efficiency of the brain signal
frequencies of the occipital region of the scalp that are produced in response to arbitrary visual
stimuli. For this, we first use synthetic sinusoidal signals and then electroencephalographic signals
obtained from an open-access public database. For the estimation, we used the prediction error
filter applied in an adaptive way through the LMS algorithm and also developed versions of the
MODE and MODEX methods for frequency estimation. These methods were compared with the
classical approach of the problem, which uses the Fast Fourier Transform, in terms of root mean
square error estimation for different values of signal-to-noise ratio, computational effort and
execution time. The adaptive filtering and the worked estimators presented estimation errors lower
than those of the classical approach for SNRs above 5 dB. Although the complexity and execution
times of the proposed approaches have presented higher values than those of the FFT, they are
partially offset by the reduction in the time required for data acquisition, so that the increase in
accuracy and robustness is worth the increase in processing effort. Finally, it can be concluded that
DOA estimation methods can be applied successfully in frequency estimation, particularly for EEG
signals, allowing the development of more sophisticated applications in the future.
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MAGALHÃES, M. G. Melhoria da eficiência da estimação de frequências de potenciais evocados visuais de estado estacionário utilizando métodos paramétricos de alta resolução. 2019. 68 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2019.