[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 …
causes emotional, social, and cognitive problems. This paper explored the functional brain …
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 …
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
Detection of mental disorders such as schizophrenia (SZ) through investigating brain
activities recorded via Electroencephalogram (EEG) signals is a promising field in …
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 …
disorganized speech, mood disturbances, and abnormal behavior. Early diagnosis of …
Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals
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 …
characteristics such as interruption in thinking, memory, perception, speech and other living …
Exploring deep residual network based features for automatic schizophrenia detection from EEG
Schizophrenia is a severe mental illness which can cause lifelong disability. Most recent
studies on the Electroencephalogram (EEG)-based diagnosis of schizophrenia rely on …
studies on the Electroencephalogram (EEG)-based diagnosis of schizophrenia rely on …
SzHNN: a novel and scalable deep convolution hybrid neural network framework for schizophrenia detection using multichannel EEG
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 …
areas. Schizophrenia (Sz) is a brain disorder that severely affects the thinking, behavior, and …
Deep convolutional neural network model for automated diagnosis of schizophrenia using EEG signals
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 …
convolutional neural system is described in this study. Schizophrenia is an anomaly in the …
Scz-scan: An automated schizophrenia detection system from electroencephalogram signals
Schizophrenia (SCZ) is a severe neurological and physiological syndrome that perverts a
patient's perception of reality. SCZ exhibits several symptoms, including hallucinations …
patient's perception of reality. SCZ exhibits several symptoms, including hallucinations …
Automatic diagnosis of schizophrenia in EEG signals using functional connectivity features and CNN-LSTM model
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 …
world. People with schizophrenia always suffer from symptoms that include hallucinations …