Exploring deep residual network based features for automatic schizophrenia detection from EEG

S Siuly, Y Guo, OF Alcin, Y Li, P Wen… - Physical and Engineering …, 2023 - Springer
Schizophrenia is a severe mental illness which can cause lifelong disability. Most recent
studies on the Electroencephalogram (EEG)-based diagnosis of schizophrenia rely on …

SchizoGoogLeNet: The GoogLeNet‐Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia

S Siuly, Y Li, P Wen, OF Alcin - Computational Intelligence and …, 2022 - Wiley Online Library
Schizophrenia (SZ) is a severe and prolonged disorder of the human brain where people
interpret reality in an abnormal way. Traditional methods of SZ detection are based on …

Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals

A Shalbaf, S Bagherzadeh, A Maghsoudi - Physical and Engineering …, 2020 - Springer
Schizophrenia (SZ) is a severe disorder of the human brain which disturbs behavioral
characteristics such as interruption in thinking, memory, perception, speech and other living …

Deep convolutional neural network model for automated diagnosis of schizophrenia using EEG signals

SL Oh, J Vicnesh, EJ Ciaccio, R Yuvaraj, UR Acharya - Applied Sciences, 2019 - mdpi.com
A computerized detection system for the diagnosis of Schizophrenia (SZ) using a
convolutional neural system is described in this study. Schizophrenia is an anomaly in the …

SzHNN: a novel and scalable deep convolution hybrid neural network framework for schizophrenia detection using multichannel EEG

G Sharma, AM Joshi - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
In the field of neuroscience, brain activity measurement and analysis are considered crucial
areas. Schizophrenia (Sz) is a brain disorder that severely affects the thinking, behavior, and …

Schizophrenia detection based on EEG using recurrent auto-encoder framework

Y Wu, M Xia, X Wang, Y Zhang - International Conference on Neural …, 2022 - Springer
Schizophrenia (SZ) is a serious mental disorder that could seriously affect the patient's
quality of life. In recent years, detection of SZ based on deep learning (DL) using …

SPWVD-CNN for automated detection of schizophrenia patients using EEG signals

SK Khare, V Bajaj, UR Acharya - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Schizophrenia (SZ) is a psychiatric disorder characterized by cognitive dysfunctions,
hallucinations, and delusions, which may lead to lifetime disability. Detection and diagnosis …

SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals

SK Khare, V Bajaj, UR Acharya - Physiological Measurement, 2023 - iopscience.iop.org
Objective. Schizophrenia (SZ) is a severe chronic illness characterized by delusions,
cognitive dysfunctions, and hallucinations that impact feelings, behaviour, and thinking …

A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals

Z Aslan, M Akin - Physical and Engineering Sciences in Medicine, 2022 - Springer
This study presents a method with high accuracy performance that aims to automatically
detect schizophrenia (SZ) from electroencephalography (EEG) records. Unlike related …

[HTML][HTML] 3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network

M Shen, P Wen, B Song, Y Li - Biomedical Signal Processing and Control, 2024 - Elsevier
Schizophrenia (ScZ) is a chronic mental disorder affecting the function of the brain, which
causes emotional, social, and cognitive problems. This paper explored the functional brain …