Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model
Schizophrenia (SZ) is a complex mental disorder, hallmarked by symptoms including
delusions, hallucinations, disorganized speech, cognitive impairments, and diminished …
delusions, hallucinations, disorganized speech, cognitive impairments, and diminished …
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 …
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 …
[引用][C] Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-based Schizophrenia Detection
A Ai Fahoum, AA Zyout - International Journal of Neural Systems, 2024 - World Scientific
This study proposes an innovative expert system that uses exclusively EEG signals to
diagnose schizophrenia in its early stages. For diagnosing psychiatric/neurological …
diagnose schizophrenia in its early stages. For diagnosing psychiatric/neurological …
Leveraging EEG Signals and Machine Learning for Schizophrenia Classification
A Elfarsy, S El-Metwally - 2024 6th International Conference on …, 2024 - ieeexplore.ieee.org
Schizophrenia is a neurological disorder known for its potential to disrupt brain function and
cause erratic behavior. Timely diagnosis and intervention are crucial for improving patient …
cause erratic behavior. Timely diagnosis and intervention are crucial for improving patient …
Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models
A Shoeibi, M Khodatars, H Alinejad-Rorky… - … Work-Conference on …, 2024 - Springer
Schizophrenia (SZ) is a multifaceted mental disorder that typically emerges in early
adulthood, characterized by a spectrum of physiological and cognitive deficits …
adulthood, characterized by a spectrum of physiological and cognitive deficits …
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …
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) …
Fusion of pattern-based and statistical features for Schizophrenia detection from EEG signals
Schizophrenia (SZ) is a chronic disorder affecting the functioning of the brain. It can lead to
irrational behaviour amongst the patients suffering from this disease. A low-cost diagnostic …
irrational behaviour amongst the patients suffering from this disease. A low-cost diagnostic …
A novel approach to schizophrenia Detection: Optimized preprocessing and deep learning analysis of multichannel EEG data
S Srinivasan, SD Johnson - Expert Systems with Applications, 2024 - Elsevier
Schizophrenia diagnosis, characterized by cognitive deficits, hallucinations, and delusions,
poses challenges due to its complex nature. Electroencephalogram (EEG) signals provide …
poses challenges due to its complex nature. Electroencephalogram (EEG) signals provide …