SZ-RAN: A Residual Attention Network for Early Detection of Schizophrenia using EEG Signals

S Singh, S Singh, G Sahu, J Jadon… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Schizophrenia (SZ) is a complex and debilitating mental disorder which affects 1% of the
global population. Electroencephalogram (EEG) emerged as a promising, low-cost and non …

Exploring deep residual network based features for automatic schizophrenia detection from EEG

S Siuly, Y Guo, OF Alcin, Y Li, P Wen… - Physical and Engineering …, 2023 - Springer
Schizophrenia is a severe mental illness which can cause lifelong disability. Most recent
studies on the Electroencephalogram (EEG)-based diagnosis of schizophrenia rely on …

A pyramidal spatial-based feature attention network for schizophrenia detection using electroencephalography signals

M Karnati, G Sahu, A Gupta, A Seal… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Automatic signal classification is utilized in various medical and industrial applications,
particularly in schizophrenia (SZ) diagnosis, one of the most prevalent chronic neurological …

SzHNN: a novel and scalable deep convolution hybrid neural network framework for schizophrenia detection using multichannel EEG

G Sharma, AM Joshi - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
In the field of neuroscience, brain activity measurement and analysis are considered crucial
areas. Schizophrenia (Sz) is a brain disorder that severely affects the thinking, behavior, and …

Chronologically Arranged Convolutional Gated Recurrent Network for EEG-Based Schizophrenia Detection

S Swati, M Kumar - International Conference on Pattern Recognition and …, 2023 - Springer
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 …

SchizoGoogLeNet: The GoogLeNet‐Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia

S Siuly, Y Li, P Wen, OF Alcin - Computational Intelligence and …, 2022 - Wiley Online Library
Schizophrenia (SZ) is a severe and prolonged disorder of the human brain where people
interpret reality in an abnormal way. Traditional methods of SZ detection are based on …

SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals

SK Khare, V Bajaj, UR Acharya - Physiological Measurement, 2023 - iopscience.iop.org
Objective. Schizophrenia (SZ) is a severe chronic illness characterized by delusions,
cognitive dysfunctions, and hallucinations that impact feelings, behaviour, and thinking …

Novel eeg based schizophrenia detection with iomt framework for smart healthcare

G Sharma, AM Joshi - arXiv preprint arXiv:2111.11298, 2021 - arxiv.org
In the field of neuroscience, Brain activity analysis is always considered as an important
area. Schizophrenia (Sz) is a brain disorder that severely affects the thinking, behaviour, and …

Deep convolutional neural network model for automated diagnosis of schizophrenia using EEG signals

SL Oh, J Vicnesh, EJ Ciaccio, R Yuvaraj, UR Acharya - Applied Sciences, 2019 - mdpi.com
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 …

EEG-based schizophrenia detection using fusion of effective connectivity maps and convolutional neural networks with transfer learning

S Bagherzadeh, A Shalbaf - Cognitive Neurodynamics, 2024 - Springer
Schizophrenia (SZ) is a serious mental disorder that can mainly be distinguished by
symptoms including delusions and hallucinations. This mental disorder makes difficult …