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 …
A pyramidal spatial-based feature attention network for schizophrenia detection using electroencephalography signals
Automatic signal classification is utilized in various medical and industrial applications,
particularly in schizophrenia (SZ) diagnosis, one of the most prevalent chronic neurological …
particularly in schizophrenia (SZ) diagnosis, one of the most prevalent chronic neurological …
EEG-based schizophrenia classification using penalized sequential dictionary learning in the context of mobile healthcare
Mobile healthcare is an appealing approach based on the Internet of Medical Things (IoMT)
and cloud computing. It can lead to unobstructed, economical, and patient-centric healthcare …
and cloud computing. It can lead to unobstructed, economical, and patient-centric healthcare …
Graph signal processing and graph learning approaches to Schizophrenia pattern identification in brain Electroencephalogram
The detection of Schizophrenia (SZ) directly from brain Electroencephalogram (EEG) signals
has recently gained importance. Traditionally, EEG-based SZ detection is done by either …
has recently gained importance. Traditionally, EEG-based SZ detection is done by either …
[HTML][HTML] 3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network
M Shen, P Wen, B Song, Y Li - Biomedical Signal Processing and Control, 2024 - Elsevier
Schizophrenia (ScZ) is a chronic mental disorder affecting the function of the brain, which
causes emotional, social, and cognitive problems. This paper explored the functional brain …
causes emotional, social, and cognitive problems. This paper explored the functional brain …
Schizophrenia diagnosis based on diverse epoch size resting-state EEG using machine learning
Schizophrenia is a severe mental disorder that impairs a person's mental, social, and
emotional faculties gradually. Detection in the early stages with an accurate diagnosis is …
emotional faculties gradually. Detection in the early stages with an accurate diagnosis is …
A novel approach for afloat EEG channel selection and fusion: application in EEG schizophrenia detection
Schizophrenia (SZ) is an enduring, intricate, and debilitating neuropsychological illness.
Traditional approaches for diagnosing SZ face several challenges, including the arduous …
Traditional approaches for diagnosing SZ face several challenges, including the arduous …
Contribution of EEG Signals for Students' Stress Detection
J Fernandez, R Martínez, B Innocenti… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Stress is a prevalent global concern impacting individuals across various life aspects. This
paper investigates stress detection using electroencephalographic (EEG) signals, which …
paper investigates stress detection using electroencephalographic (EEG) signals, which …
Chaotic marine predator optimization algorithm for feature selection in schizophrenia classification using EEG signals
Schizophrenia is a chronic mental illness that can negatively affect emotions, thoughts,
social interaction, motor behavior, attention, and perception. Early diagnosis is still …
social interaction, motor behavior, attention, and perception. Early diagnosis is still …
A comparative study of wavelet families for schizophrenia detection
E Sathiya, TD Rao, TS Kumar - Frontiers in Human Neuroscience, 2024 - frontiersin.org
Schizophrenia (SZ) is a chronic mental disorder, affecting approximately 1% of the global
population, it is believed to result from various environmental factors, with psychological …
population, it is believed to result from various environmental factors, with psychological …