Identification enhancement of auditory evoked potentials in EEG by epoch concatenation and temporal decorrelation

Authors:
H. Zavala-Fernandez;R. Orglmeister;L. Trahms;T. H. Sander
Affiliations:
Nalecz Institute of Biocybernetics and Biomedical Engineering, PAS, Trojdena 4, 02-109 Warsaw, Poland and Chair of Electronics and Medical Signal Processing, TU-Berlin, Einsteinufer 17, 10587 Berl ...;Chair of Electronics and Medical Signal Processing, TU-Berlin, Einsteinufer 17, 10587 Berlin, Germany;Physikalish-Technische Bundesanstalt - PTB, Abbestr. 2-12, 10587 Berlin, Germany;Physikalish-Technische Bundesanstalt - PTB, Abbestr. 2-12, 10587 Berlin, Germany
Venue:
Computer Methods and Programs in Biomedicine
Year:
2012

Citing 5
Cited 2

A fast fixed-point algorithm for independent component analysis

Neural Computation
Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources

Neural Computation
Comparison of ICA algorithms for the isolation of biological artifacts in magnetoencephalography

ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
A blind source separation technique using second-order statistics

IEEE Transactions on Signal Processing
Single Evoked Somatosensory MEG Responses Extracted by Time Delayed Decorrelation

IEEE Transactions on Signal Processing

Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface

Computer Methods and Programs in Biomedicine
Spectral and complexity analysis of scalp EEG characteristics for mild cognitive impairment and early Alzheimer's disease

Computer Methods and Programs in Biomedicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

Event-related potentials (ERP) recorded by electroencephalography (EEG) are brain responses following an external stimulus, e.g., a sound or an image. They are used in fundamental cognitive research and neurological and psychiatric clinical research. ERPs are weaker than spontaneous brain activity and therefore it is difficult or even impossible to identify an ERP in the brain activity following an individual stimulus. For this reason, a blind source separation method relying on statistical information is proposed for the isolation of ERP after auditory stimulation. In this paper it is suggested to integrate epoch concatenation into the popular temporal decorrelation algorithm SOBI/TDSEP relying on time shifted correlations. With the proposed epoch concatenation temporal decorrelation (ecTD) algorithm a component representing the auditory evoked potential (AEP) is found in electroencephalographic data from an auditory stimulation experiment lasting 3min. The ecTD result is compared with the averaged AEP and it is superior to the result from the SOBI/TDSEP algorithm. Furthermore the ecTD processing leads to significant increases in the signal-to-noise ratio (shape SNR) of the AEP and reduces the computation time by 50% if compared to the SOBI/TDSEP calculation. It can be concluded that data concatenation in combination with temporal decorrelation is useful for isolating and improving the properties of an AEP especially in a short duration stimulation experiment.