A matrix-based algorithm for estimating multiple coherence of a periodic signal and its application to the multichannel EEG during sensory stimulation

IEEE Transactions on Bio-medical Engineering
A M F L Miranda de SáA F C Infantosi

Abstract

The coherence between the stimulation signal and the electroencephalogram (EEG) has been used in the detection of evoked responses. The detector's performance, however, depends on both the signal-to-noise ratio (SNR) of the responses and the number of data segments (M) used in coherence estimation. In practical situations, when a given SNR occurs, detection can only be improved by increasing M and hence the total data length. This is particularly relevant when monitoring is the objective. In the present study, we propose a matrix-based algorithm for estimating the multiple coherence of the stimulation signal taking into account a set of N EEG channels as a way of increasing the detection rate for a fixed value of M. Monte Carlo simulations suggest that thresholds for such multivariate detector are the same as those for multiple coherence of Gaussian signals and that using more than six signals is not advisable for improving the detection rate with M = 10. The results with EEG from 12 normal subjects during photic stimulation at 10 Hz showed a maximum detection for N greater than 2 in 58% of the subjects with M = 10, and hence suggest that the proposed multivariate detector is valuable in evoked responses applications.

References

Feb 1, 1989·Ear and Hearing·R A Dobie, M J Wilson
Jan 1, 1997·Electroencephalography and Clinical Neurophysiology·V CsépeS Hampson
Sep 13, 2000·Annals of Biomedical Engineering·D M SimpsonA F Infantosi
Oct 5, 2001·IEEE Transactions on Bio-medical Engineering·A MauricioD M Simpson
May 9, 2002·Medical Engineering & Physics·Antonio Mauricio F L Miranda de Sá, Leonardo B Felix

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Citations

Dec 21, 2006·Annals of Biomedical Engineering·Leonardo Bonato FelixHani Camille Yehia
Jul 6, 2007·Medical & Biological Engineering & Computing·Antonio Mauricio F L Miranda de Sá, Antonio Fernando C Infantosi
Apr 28, 2009·Journal of Neuroscience Methods·Leonardo Bonato FelixMárcio Flávio Dutra Moraes
Jan 6, 2009·Computers in Biology and Medicine·Engin TekinErkan Zeki Engin
Mar 16, 2016·Journal of Neuroscience Methods·Paulo Fábio F RochaEduardo M A M Mendes
May 25, 2005·Journal of Neuroscience Methods·Leonardo Bonato FelixMárcio Flávio Dutra Moraes
Mar 11, 2009·IEEE Transactions on Bio-medical Engineering·Sven P Heinrich
Jan 25, 2019·International Journal of Audiology·Frederique J VanheusdenSteven L Bell
Feb 21, 2006·American Journal of Physiology. Heart and Circulatory Physiology·Ronney B PaneraiJohn F Potter
May 15, 2018·Ear and Hearing·Frederique J VanheusdenDavid M Simpson

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