Translational Medicine
Open Access
ISSN: 2161-1025
ISSN: 2161-1025
Department of GIS, K.N.Toosi University of Technology, Tehran, Iran
Research Article
Schizophrenia Diagnosis Utilizing EEG Signals: A Comparison between Time Frequency Convolutional Neural Networks and Transformers
Author(s): Maryam Saeedi*, Pooya Mohammadi Kazaj, Abdolkarim Saeedi, Arash Maghsoudi and Alireza Vafaei Sadr
Background: Schizophrenia is a chronic mental illness in which a person’s perception of reality is distorted. Early diagnosis can help to manage symptoms and increase long-term treatment. The Electroencephalogram (EEG) is now used to diagnose specific mental disorders.
Methods: In this paper, we developed an artificial intelligence methodology built on deep convolutional neural networks and transformer layers to detect schizophrenia from EEG signals directly, recordings include 14 paranoid schizophrenia patients (7 females) with ages ranging from 27 to 32 and 14 normal subjects (7 females) with ages ranging from 26 to 32. In the first phase, we used the Gramian Angular Field (GAF), including two methods: The Gramian Angular Summation Field (GASF) and the Gramian Angular Difference Field (GADF) to represent the EEG signals as various ty.. View More»
DOI:
10.35248/2161-1025.25.15.341