Countering Cross-Individual Variance in Event Related Potentials with Functional Profiling

Abstract

AbstractIn this study, a simple method called the Weight Template (WT) is proposed for classifying brain responses of individuals into deceiving and non-deceiving. The performance of our method was evaluated on a number of identity deception data sets and on artificial EEG data sets. A comparison was made with a standard method used to measure P3 presence, called Peak-to-Peak. In the real experimental data, the WT showed higher performance in terms of sensitivity and specificity. In the artificial EEG data, in ERPs with low Signal-to-Noise Ratio (SNR), the WT was more resistant to noise and provided more accurate measures.HighlightsWe propose a method for classifying ERPs of the P3 Concealed Information Tests.The new method is based on computing a weighted template (WT) for each individual.The WT is used to characterize the shape of each individual’s P3.The performance of the WT was compared with the standard Peak-to-Peak method.The WT showed higher performance in terms of sensitivity and specificity.