On the detection of visual evoked responses by using multiple coherence

Author

De Sa, A. M F L Miranda ; Felix, L.B.

Author_Institution

Dept. of Electricity, Fed. Instn. of Higher Educ. of Sao Joao del Rei, Brazil

Volume

2

fYear

2001

fDate

2001

Firstpage

2002

Abstract

The coherence between the stimulation signal and the EEG has been used in the detection of evoked responses. However, the detector´s performance depends on both the signal-to-noise ratio of the responses and the number of data segments used in the coherence estimation. Recently, the multiple coherence between the stimulation signal and the EEG has been suggested as a way of improving such detection. In this work such methodology is further investigated using Monte Carlo simulations, and the effectiveness of the method is illustrated on data recorded from 12 young normal subjects during rhythmic photic stimulation.

Keywords

Gaussian distribution; Monte Carlo methods; electroencephalography; medical signal processing; spectral analysis; visual evoked potentials; EEG; Gaussian signals; Monte Carlo simulations; additive stimulus response; discrete-time signals; multiple coherence; number of data segments; periodic deterministic signal; probability of detection; random signals; rhythmic photic stimulation; signal-to-noise ratio; stimulation signal; visual evoked responses detection; young normal subjects; Data acquisition; Detectors; Electroencephalography; IEEE members; Noise reduction; Robustness; Sampling methods; Shape; Signal to noise ratio; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1020623

Filename

1020623