Fusion of pattern-based and statistical features for Schizophrenia detection from EEG signals

M Agarwal, A Singhal - Medical Engineering & Physics, 2023 - Elsevier
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 …

Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques

F Hassan, SF Hussain, SM Qaisar - Information Fusion, 2023 - Elsevier
Schizophrenia is a severe mental disorder that has adverse effects on the behavior of an
individual such as disorganized speech and delusions. Electroencephalography (EEG) …

Automated detection of schizophrenia using optimal wavelet-based norm features extracted from single-channel EEG

M Sharma, UR Acharya - Cognitive Neurodynamics, 2021 - Springer
Schizophrenia (SZ) is a mental disorder, which affects the ability of human thinking, memory,
and way of living. Manual screening of SZ patients is tedious, laborious and prone to human …

A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals

Z Aslan, M Akin - Physical and Engineering Sciences in Medicine, 2022 - Springer
This study presents a method with high accuracy performance that aims to automatically
detect schizophrenia (SZ) from electroencephalography (EEG) records. Unlike related …

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 …

SPWVD-CNN for automated detection of schizophrenia patients using EEG signals

SK Khare, V Bajaj, UR Acharya - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Schizophrenia (SZ) is a psychiatric disorder characterized by cognitive dysfunctions,
hallucinations, and delusions, which may lead to lifetime disability. Detection and diagnosis …

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 …

A computerized method for automatic detection of schizophrenia using EEG signals

S Siuly, SK Khare, V Bajaj, H Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Diagnosis of schizophrenia (SZ) is traditionally performed through patient's interviews by a
skilled psychiatrist. This process is time-consuming, burdensome, subject to error and bias …

CCPNet136: automated detection of schizophrenia using carbon chain pattern and iterative TQWT technique with EEG signals

M Baygin, PD Barua, S Chakraborty… - Physiological …, 2023 - iopscience.iop.org
Objective. Schizophrenia (SZ) is a severe, chronic psychiatric-cognitive disorder. The
primary objective of this work is to present a handcrafted model using state-of-the-art …

Automated detection of schizophrenia using nonlinear signal processing methods

V Jahmunah, SL Oh, V Rajinikanth, EJ Ciaccio… - Artificial intelligence in …, 2019 - Elsevier
Examination of the brain's condition with the Electroencephalogram (EEG) can be helpful to
predict abnormality and cerebral activities. The purpose of this study was to develop an …