An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future …
Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls
The complexity and heterogeneity of schizophrenia symptoms challenge an objective
diagnosis, which is typically based on behavioral and clinical manifestations. Moreover, the …
diagnosis, which is typically based on behavioral and clinical manifestations. Moreover, the …
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 …
in the brain, the function of some brain regions is out of balance, leading to the lack of …
A computerized method for automatic detection of schizophrenia using EEG signals
Diagnosis of schizophrenia (SZ) is traditionally performed through patient's interviews by a
skilled psychiatrist. This process is time-consuming, burdensome, subject to error and bias …
skilled psychiatrist. This process is time-consuming, burdensome, subject to error and bias …
Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques
Schizophrenia is a severe mental disorder that has adverse effects on the behavior of an
individual such as disorganized speech and delusions. Electroencephalography (EEG) …
individual such as disorganized speech and delusions. Electroencephalography (EEG) …
A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals
This study presents a method with high accuracy performance that aims to automatically
detect schizophrenia (SZ) from electroencephalography (EEG) records. Unlike related …
detect schizophrenia (SZ) from electroencephalography (EEG) records. Unlike related …
Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features
Schizophrenia is a mental disorder that causes adverse effects on the mental capacity of a
person, emotional inclinations, and quality of personal and social life. The official statistics …
person, emotional inclinations, and quality of personal and social life. The official statistics …
Schizophrenia detection using MultivariateEmpirical Mode Decomposition and entropy measures from multichannel EEG signal
PT Krishnan, ANJ Raj, P Balasubramanian… - Biocybernetics and …, 2020 - Elsevier
Multivariate analysis of the EEG signal for the detection of Schizophrenia condition is
proposed here. Multivariate Empirical Mode Decomposition (MEMD) is used to decompose …
proposed here. Multivariate Empirical Mode Decomposition (MEMD) is used to decompose …
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
Background Schizophrenia (SCZ) is a serious neurological condition in which people suffer
with distorted perception of reality. SCZ may result in a combination of delusions …
with distorted perception of reality. SCZ may result in a combination of delusions …
Spectral features based convolutional neural network for accurate and prompt identification of schizophrenic patients
Schizophrenia is a fatal mental disorder, which affects millions of people globally by the
disturbance in their thinking, feeling and behaviour. In the age of the internet of things …
disturbance in their thinking, feeling and behaviour. In the age of the internet of things …