Jorge I. Auñón

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The separate but closely related topics of waveform estimation by filtering and information extraction by pattern recognition are covered in this review. Because of the low signal-to-noise ratio generally encountered in evoked potential research, a variety of filtering methods have been employed for improving waveform estimation. Initially the filtering was(More)
The VEP and AEP of a normal adult were recorded at single sessions in five laboratories that used different instrumentation. The results were compared with VEP and AEP data recorded at eight weekly testing sessions at one of the labs. The interlaboratory standard deviation was found to be over twice as large as the intralaboratory standard deviation(More)
Event-related brain potentials measured with scalp electrodes are always corrupted by unrelated electrical discharges occurring in the brain. These unrelated electrical discharges, generally referred to as noise, have temporal and spectral characteristics similar to evoked potential waveforms, and they greatly increase the difficulty of detecting and(More)
Several methods of estimating the waveform of event-related potentials are presented. The techniques of conventional averaging, Woody cross-correlation averaging, latency corrected averaging, continuous latency corrected averaging, and enhanced averaging are described and their results compared. It was found that the continuous latency corrected average(More)
Three separate topics are covered in this review. The first deals with the technique of signal averaging. The concept of ensemble averaging is explored, and alternatives to this traditional tool are considered such as crosscorrelation averaging, latency corrected averaging, median averaging, etc. Different measures of variability of single evoked potentials(More)
This paper discusses the design and performance of an optimum linear multielectrode filter for estimating the evoked potential contained in a single scalp-recorded brain response to a visual stimulus. The filter is derived under the criterion of minimum mean-square error and is time varying to allow for the nonstationarity of the brain response. Single-and(More)
A single dipole source was chosen as a model of the neurological generator of evoked potentials elicited by illuminated checker-board stimulation of halves and quadrants of the visual field, and a homogeneous sphere was chosen as a model for the head. Dipole locations and moments were calculated for the average evoked potentials and average dipole locations(More)