Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia
Abstract Computer Aided Diagnosis systems assist radiologists and doctors in the early
diagnosis of mental disorders such as Alzheimer's, bipolar disorder, depression, autism …
diagnosis of mental disorders such as Alzheimer's, bipolar disorder, depression, autism …
Schizophrenia: a survey of artificial intelligence techniques applied to detection and classification
Artificial Intelligence in healthcare employs machine learning algorithms to emulate human
cognition in the analysis of complicated or large sets of data. Specifically, artificial …
cognition in the analysis of complicated or large sets of data. Specifically, artificial …
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) …
Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals
K Das, RB Pachori - Biomedical Signal Processing and Control, 2021 - Elsevier
A new approach for extension of univariate iterative filtering (IF) for decomposing a signal
into intrinsic mode functions (IMFs) or oscillatory modes is proposed for multivariate multi …
into intrinsic mode functions (IMFs) or oscillatory modes is proposed for multivariate multi …
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 …
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 …
Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features
H Akbari, S Ghofrani, P Zakalvand, MT Sadiq - … Signal Processing and …, 2021 - Elsevier
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 …
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 …
Seizure detection algorithm based on improved functional brain network structure feature extraction
L Jiang, J He, H Pan, D Wu, T Jiang, J Liu - Biomedical Signal Processing …, 2023 - Elsevier
Epilepsy is one of the most common neurological disorders. Accurate detection of epileptic
seizures is essential for treatment. A seizure detection method with the structure of functional …
seizures is essential for treatment. A seizure detection method with the structure of functional …
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 …