Conference proceeding
Time-domain analysis of EEG during guilty knowledge test: Investigation of epoch extraction criteria
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
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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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Details
- Title
- Time-domain analysis of EEG during guilty knowledge test: Investigation of epoch extraction criteria
- Creators
- Anna Caterina Merzagora - Drexel UniversityMeltem Izzetoglu - Drexel UniversityScott Bunce - Drexel UniversityBanu Onaral - Drexel UniversityIEEE
- Publication Details
- 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, v 2007, pp 1302-1305
- Series
- PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- N00014-02-1-0524; N00014-01-1-0986; N00014-04-1-0119 / Homeland Security Office of Naval Research (ONR); Office of Naval Research Defense Advanced Research Projects Agency (DARPA); United States Department of Defense
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000253467001010
- Scopus ID
- 2-s2.0-57649213683
- Other Identifier
- 991019168892204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Imaging Science & Photographic Technology
- Radiology, Nuclear Medicine & Medical Imaging