WTRPNet: an explainable graph feature convolutional neural network for epileptic EEG classification
As one of the important tools of epilepsy diagnosis, the electroencephalogram (EEG) is
noninvasive and presents no traumatic injury to patients. It contains a lot of physiological …
noninvasive and presents no traumatic injury to patients. It contains a lot of physiological …
A New Approach for Lie Detection Using Non-Linear and Dynamic Analysis of Video-Based Eye Movement
Purpose: This study aimed to evaluate a lie-detection system by non-linear analysis of video-
based eye movement. Materials and Methods: The physiological signals, as well as video …
based eye movement. Materials and Methods: The physiological signals, as well as video …
Detecting Faking in Hiring Assessments: A Digital Behavioral Biometric Approach
Applicant faking—people misrepresenting information on a job application—is a growing
issue that undermines the integrity of the hiring process. Despite considerable research on …
issue that undermines the integrity of the hiring process. Despite considerable research on …
A novel spike-wave discharge detection framework based on the morphological characteristics of brain electrical activity phase space in an animal model
Background: Animal models of absence epilepsy are widely used in childhood absence
epilepsy studies. Absence seizures appear in the brain's electrical activity as a specific spike …
epilepsy studies. Absence seizures appear in the brain's electrical activity as a specific spike …