Exploring the Functional Brain Network of Deception in Source-Level EEG via Partial Mutual Information

Q Kang, F Li, J Gao - Electronics, 2023 - mdpi.com
In this study, partial mutual information at the source level was used to construct brain
functional networks in order to examine differences in brain functions between lying and …

Lie detection and truth identification form EEG signals by using frequency and time features

IJ Mohammed, LE George - Journal of Algebraic Statistics, 2022 - publishoa.com
Electroencephalogram signals show how the brain's electricity is working. An EEG signal is
a measurement of voltage changes caused by the flow of ions through the brain's neurons …

[PDF][PDF] A Survey for Lie Detection Methodology Using EEG Signal Processing

IJ Mohammed, LE George - Journal of Al-Qadisiyah for computer science …, 2022 - iasj.net
Electroencephalography (EEG) is a hot topic all around the world. EEG signals, a series of
measurements taken using electrodes on the scalp, can indicate brain activity. They are …

[PDF][PDF] Lie Detection: Truth Identification from EEG Signal Using Frequency and Time Features with SVM Classifier

IJ Mohammed, LE George - Wasit Journal of Computer and Mathematics …, 2022 - iasj.net
This study investigated the approach of extracting features from single EEG channels when
the minimum number of features in Electroencephalogram (EEG) channels, hence the …

Information detection in brain using wavelet features and K-nearest neighbor

N Saini, S Bhardwaj, R Agarwal… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Brain signals provide information about the various activities happening in brain at the time
of occurrence of different events. Information specifically known to a person can be …