Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals

Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals

<b>Background:</b> Electroencephalography (EEG) signal-based machine learning models are among the most cost-effective methods for information retrieval. In this context, we aimed to investigate the cortical activities of psychotic criminal subjects by deploying an explainable feature en...

Full description

Saved in:
Bibliographic Details
Main Authors: Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Diagnostics
Subjects:
zipper pattern
psychotic criminal detection
EEG signal processing
digital forensics
neuro forensics
explainable feature engineering
Online Access:https://www.mdpi.com/2075-4418/15/2/154
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items