A deep learning approach for diagnosis of schizophrenia disorder via data augmentation based on convolutional neural network and long short-term memory
AM Shams, S Jabbari - Biomedical Engineering Letters, 2024 - Springer
Schizophrenia (SZ) is a severe, chronic mental disorder without specific treatment. Due to
the increasing prevalence of SZ in societies and the similarity of the characteristics of this …
the increasing prevalence of SZ in societies and the similarity of the characteristics of this …
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 …
Novel eeg based schizophrenia detection with iomt framework for smart healthcare
In the field of neuroscience, Brain activity analysis is always considered as an important
area. Schizophrenia (Sz) is a brain disorder that severely affects the thinking, behaviour, and …
area. Schizophrenia (Sz) is a brain disorder that severely affects the thinking, behaviour, and …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
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 …
Chronologically Arranged Convolutional Gated Recurrent Network for EEG-Based Schizophrenia Detection
Schizophrenia is a severe brain disorder having disruptive effects on human behavior,
which can progressively turn out to be worst if left undiagnosed and untreated in its early …
which can progressively turn out to be worst if left undiagnosed and untreated in its early …
SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals
Objective. Schizophrenia (SZ) is a severe chronic illness characterized by delusions,
cognitive dysfunctions, and hallucinations that impact feelings, behaviour, and thinking …
cognitive dysfunctions, and hallucinations that impact feelings, behaviour, and thinking …
Deep learning models for diagnosis of schizophrenia using EEG signals: emerging trends, challenges, and prospects
Schizophrenia (ScZ) is a chronic neuropsychiatric disorder characterized by disruptions in
cognitive, perceptual, social, emotional, and behavioral functions. In the traditional …
cognitive, perceptual, social, emotional, and behavioral functions. In the traditional …
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 …