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 …
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 …
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 …
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 …
Development of a machine learning based algorithm to accurately detect schizophrenia based on one-minute EEG recordings
R Buettner, D Beil, S Scholtz, A Djemai - 2020 - scholarspace.manoa.hawaii.edu
While diagnosing schizophrenia by physicians based on patients' history and their overall
mental health is inaccurate, we report on promising results using a novel, fast and reliable …
mental health is inaccurate, we report on promising results using a novel, fast and reliable …
[PDF][PDF] Meta-learning on Spectral Images of Electroencephalogram of Schizophenics
M Tynes, M Parsapoor - arXiv preprint arXiv:2101.12208, 2021 - iab-rubric.org
Schizophrenia is a complex psychiatric disorder involving changes in thought patterns,
perception, mood, and behavior. The diagnosis of schizophrenia is challenging and requires …
perception, mood, and behavior. The diagnosis of schizophrenia is challenging and requires …
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 …
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 …
A Smart Healthcare Framework for Accurate Detection of Schizophrenia using Multi-Channel EEG
In recent years, advanced computing techniques have been investigated and employed for
the computerized detection of brain disorders like schizophrenia. Schizophrenia is a …
the computerized detection of brain disorders like schizophrenia. Schizophrenia is a …
A machine learning framework for automatic diagnosis of schizophrenia using EEG signals
Schizophrenia (ScZ) is a chronic brain disorder that affects speech, mood, behaviour,
cognitive ability, etc. The people suffering from this disease often misinterpret reality, lose …
cognitive ability, etc. The people suffering from this disease often misinterpret reality, lose …