Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023

M Jafari, D Sadeghi, A Shoeibi, H Alinejad-Rokny… - Applied …, 2024 - Springer
Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …

Deep learning models for diagnosis of schizophrenia using EEG signals: emerging trends, challenges, and prospects

R Ranjan, BC Sahana, AK Bhandari - Archives of Computational Methods …, 2024 - Springer
Schizophrenia (ScZ) is a chronic neuropsychiatric disorder characterized by disruptions in
cognitive, perceptual, social, emotional, and behavioral functions. In the traditional …

[HTML][HTML] A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition

R Li, R Gao, PN Suganthan - Information Sciences, 2023 - Elsevier
Electroencephalogram (EEG) has become increasingly popular in driver fatigue monitoring
systems. Several decomposition methods have been attempted to analyze the EEG signals …

EEG based classification of children with learning disabilities using shallow and deep neural network

NPG Seshadri, S Agrawal, BK Singh… - … Signal Processing and …, 2023 - Elsevier
Learning disability (LD), a neurodevelopmental disorder that has severely impacted the lives
of many children all over the world. LD refers to significant deficiency in children's reading …

Wavelet transforms for feature engineering in EEG data processing: An application on Schizophrenia

B Gosala, PD Kapgate, P Jain, RN Chaurasia… - … Signal Processing and …, 2023 - Elsevier
Abstract Applying Artificial Intelligence (AI) in the healthcare domain is getting benefitted day
by day with the advancement of approaches, one of them being Bio-Signal analysis. In Bio …

Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network

M Shen, P Wen, B Song, Y Li - Computers in Biology and Medicine, 2023 - Elsevier
Schizophrenia (ScZ) is a devastating mental disorder of the human brain that causes a
serious impact of emotional inclinations, quality of personal and social life and healthcare …

Epileptic seizure classification based on random neural networks using discrete wavelet transform for electroencephalogram signal decomposition

SY Shah, H Larijani, RM Gibson, D Liarokapis - Applied Sciences, 2024 - mdpi.com
An epileptic seizure is a brief episode of symptoms and signs caused by excessive electrical
activity in the brain. One of the major chronic neurological diseases, epilepsy, affects …

[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 …

Automated diagnosis of schizophrenia based on spatial–temporal residual graph convolutional network

X Xu, G Zhu, B Li, P Lin, X Li, Z Wang - BioMedical Engineering OnLine, 2024 - Springer
Background Schizophrenia (SZ), a psychiatric disorder for which there is no precise
diagnosis, has had a serious impact on the quality of human life and social activities for …

Multi-bit Local Neighborhood Difference Pattern Optimization for Seizure Detection of West Syndrome EEG Signals

W Zhang, D Wu, J Cao, L Jiang… - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
West syndrome is a common age-related epileptic encephalopathy, which seriously
threatens children's intellectual development. The accurate detection of seizures in the …