Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features

H Akbari, S Ghofrani, P Zakalvand, MT Sadiq - … Signal Processing and …, 2021 - Elsevier
Schizophrenia is a mental disorder that causes adverse effects on the mental capacity of a
person, emotional inclinations, and quality of personal and social life. The official statistics …

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 …

[HTML][HTML] Schizophrenia classification using machine learning on resting state EEG signal

JR de Miras, AJ Ibáñez-Molina, MF Soriano… - … Signal Processing and …, 2023 - Elsevier
Schizophrenia is a severe mental disorder associated with a wide spectrum of cognitive and
neurophysiological dysfunctions. Early diagnosis is still difficult and based on the …

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 …

Selection of relevant features for EEG signal classification of schizophrenic patients

M Sabeti, R Boostani, SD Katebi, GW Price - Biomedical Signal Processing …, 2007 - Elsevier
In this paper, EEG signals of 20 schizophrenic patients and 20 age-matched control
participants are analyzed with the objective of determining the more informative channels …

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 …

Automatic identification of schizophrenia using EEG signals based on discrete wavelet transform and RLNDiP technique with ANN

NJ Sairamya, MSP Subathra, ST George - Expert Systems with Applications, 2022 - Elsevier
Schizophrenia (ScZ) is a detrimental condition of the brain often associated with depression,
anxiety, and socio-psychological problems. In the traditional diagnosis approach, the results …

Schizophrenia EEG signal classification based on swarm intelligence computing

SK Prabhakar, H Rajaguru… - Computational Intelligence …, 2020 - Wiley Online Library
One of the serious mental disorders where people interpret reality in an abnormal state is
schizophrenia. A combination of extremely disordered thinking, delusion, and hallucination …

An efficient classifier to diagnose of schizophrenia based on the EEG signals

R Boostani, K Sadatnezhad, M Sabeti - Expert Systems with Applications, 2009 - Elsevier
In this paper, electroencephalogram (EEG) signals of 13 schizophrenic patients and 18 age-
matched control participants are analyzed with the objective of classifying the two groups …

CGP17Pat: automated schizophrenia detection based on a cyclic group of prime order patterns using EEG signals

E Aydemir, S Dogan, M Baygin, CP Ooi, PD Barua… - Healthcare, 2022 - mdpi.com
Background and Purpose: Machine learning models have been used to diagnose
schizophrenia. The main purpose of this research is to introduce an effective schizophrenia …