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Time-domain analysis of EEG during guilty knowledge test: Investigation of epoch extraction criteria
Conference proceeding

Time-domain analysis of EEG during guilty knowledge test: Investigation of epoch extraction criteria

Anna Caterina Merzagora, Meltem Izzetoglu, Scott Bunce, Banu Onaral and IEEE
2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, v 2007, pp 1302-1305
01 Jan 2007
PMID: 18002202

Abstract

Engineering Engineering, Biomedical Imaging Science & Photographic Technology Life Sciences & Biomedicine Radiology, Nuclear Medicine & Medical Imaging Science & Technology Technology
The study of electroencephalography (EEG) for deception detection has long been regarded as an alternative to the standard polygraphy, whose main shortcoming is its unacceptably low level of reliability. Most of the EEG deception research has focused on the amplitude and topography of P300. However, the characteristics of the P300 component are tightly connected to the experimental design and hence countermeasures are easily available for P300-based deception detection. The goal of this study is to evaluate different epoching criteria for the extraction of EEG features that are most suitable for the discrimination between truthful and deceptive responses. In order to reach this aim, a modified version of the Guilty Knowledge Test was used where EEG recordings were obtained from four frontal electrodes and two midline electrodes. In none of the electrodes the P300 component differed between deceptive and truthful responses. Differences have instead been revealed through the extraction of response-locked epochs and analysis of area under the curve.

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Web of Science research areas
Engineering, Biomedical
Imaging Science & Photographic Technology
Radiology, Nuclear Medicine & Medical Imaging
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