Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/23477
Tipo: Artigo
Título: Multivariate Objective Response Detectors (MORD): Statistical tools for multichannel eeg analysis during rhythmic stimulation
Autor(es): Felix, Leonardo Bonato
Sá, Antonio Mauricio Ferreira Leite Miranda de
Infantosi, Antonio Fernando Catelli
Yehia, Hani Camille
Abstract: The presence of cerebral evoked responses can be tested by using objective response detectors. They are statistical tests that provide a threshold above which responses can be assumed to have occurred. The detection power depends on the signal-to-noise ratio (SNR) of the response and the amount of data available. However, the correlation within the background noise could also affect the power of such detectors. For a fixed SNR, the detection can only be improved at the expense of using a longer stretch of signal. This can constitute a limitation, for instance, in monitored surgeries. Alternatively, multivariate objective response detection (MORD) could be used. This work applies two MORD techniques (multiple coherence and multiple component synchrony measure) to EEG data collected during intermittent photic stimulation. They were evaluated throughout Monte Carlo simulations, which also allowed verifying that correlation in the background reduces the detection rate. Considering the N EEG derivations as close as possible to the primary visual cortex, if N = 4, 6 or 8, multiple coherence leads to a statistically significant higher detection rate in comparison with multiple component synchrony measure. With the former, the best performance was obtained with six signals (O1, O2, T5, T6, P3 and P4).
Palavras-chave: EEG
Evoked response
Objective detection
Editor: Annals of Biomedical Engineering
Tipo de Acesso: Biomedical Engineering Society
URI: https://doi.org/10.1007/s10439-006-9231-4
http://www.locus.ufv.br/handle/123456789/23477
Data do documento: Mar-2007
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