Automatic diagnosis of schizophrenia in EEG signals using functional connectivity features and CNN-LSTM model

A Shoeibi, M Rezaei, N Ghassemi… - … work-conference on the …, 2022 - Springer
Schizophrenia (SZ) is a mental disorder that threatens the health of many people around the
world. People with schizophrenia always suffer from symptoms that include hallucinations …

[HTML][HTML] Automatic diagnosis of schizophrenia in EEG signals using CNN-LSTM models

A Shoeibi, D Sadeghi, P Moridian… - Frontiers in …, 2021 - frontiersin.org
Schizophrenia (SZ) is a mental disorder whereby due to the secretion of specific chemicals
in the brain, the function of some brain regions is out of balance, leading to the lack of …

A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data

R Supakar, P Satvaya, P Chakrabarti - Computers in Biology and Medicine, 2022 - Elsevier
Normal life can be ensured for schizophrenic patients if diagnosed early.
Electroencephalogram (EEG) carries information about the brain network connectivity which …

[HTML][HTML] 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 …

Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network

M Shen, P Wen, B Song, Y Li - Computers in Biology and Medicine, 2023 - Elsevier
Schizophrenia (ScZ) is a devastating mental disorder of the human brain that causes a
serious impact of emotional inclinations, quality of personal and social life and healthcare …

Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal

S Bagherzadeh, MS Shahabi, A Shalbaf - Computers in Biology and …, 2022 - Elsevier
Detection of mental disorders such as schizophrenia (SZ) through investigating brain
activities recorded via Electroencephalogram (EEG) signals is a promising field in …

1D-convolutional neural network approach and feature extraction methods for automatic detection of schizophrenia

H Göker - Signal, Image and Video Processing, 2023 - Springer
Schizophrenia is a complex psychiatric disorder characterized by delusions, hallucinations,
disorganized speech, mood disturbances, and abnormal behavior. Early diagnosis of …

[HTML][HTML] 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 …

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 …

Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques

F Hassan, SF Hussain, SM Qaisar - Information Fusion, 2023 - Elsevier
Schizophrenia is a severe mental disorder that has adverse effects on the behavior of an
individual such as disorganized speech and delusions. Electroencephalography (EEG) …