Conference proceeding
Wavelet analysis for EEG feature extraction in deception detection
2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2546
01 Jan 2006
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Deception detection has important clinical and legal implications. However, the reliability of methods for the discrimination between truthful and deceptive responses is still limited. Efforts to improve reliability have examined measures of central nervous system function such as EEG. However, EEG analyses based on either time- or frequency-domain parameters have had mixed results. Because EEG is a nonstationary signal, the use of joint time-frequency features may yield more reliable results for detecting deception. The goal of this study was to investigate the feasibility of deception detection based on EEG features extracted through wavelet transformation. EEG was recorded from 4 electrode sites (F3, F4, F7, F8) during a modified version of the Guilty Knowledge Test (GKT) in 5 subjects. Wavelet analysis revealed significant differences between deceptive and truthful responses. These differences were detected in features whose frequency range roughly corresponds to the EEG beta rhythm and within a time window which coincides with the P300 component. These preliminary results indicate that joint time-frequency EEG features extracted through wavelet analysis may provide a more reliable method for detecting deception than standard ERPs.
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Details
- Title
- Wavelet analysis for EEG feature extraction in deception detection
- Creators
- Anna Caterina Merzagora - Drexel Univ, Sch Biomed Engn Sci & Hlth Syst, Philadelphia, PA 19104 USAScott Bunce - Drexel Univ, Coll Med, Dept Psychait, Philadelphia, PA 19104 USAMeltem Izzetoglu - Drexel Univ, Sch Biomed Engn Sci & Hlth Syst, Philadelphia, PA 19104 USABanu Onaral - Drexel Univ, Sch Biomed Engn Sci & Hlth Syst, Philadelphia, PA 19104 USAIEEE
- Publication Details
- 2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2546
- Conference
- 2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, 28th
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- N00014-02-1-0524; N00014-01-1-0986; N00014-04-1-0119 / Homeland Security Defense Advanced Research Projects Agency (DARPA) Augmented Cognition Program; United States Department of Defense; Defense Advanced Research Projects Agency (DARPA) Office of Naval Research (ONR); Office of Naval Research
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Identifiers
- 991019170415204721
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- Web of Science research areas
- Engineering, Biomedical