Mitigating the curse of dimensionality using feature projection techniques on electroencephalography datasets: an empirical review

A Anuragi, DS Sisodia, RB Pachori - Artificial Intelligence Review, 2024 - Springer
Electroencephalography (EEG) is commonly employed to diagnose and monitor brain
disorders, however, manual analysis is time-consuming. Hence, researchers nowadays are …

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 …

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) …

Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals

K Das, RB Pachori - Biomedical Signal Processing and Control, 2021 - Elsevier
A new approach for extension of univariate iterative filtering (IF) for decomposing a signal
into intrinsic mode functions (IMFs) or oscillatory modes is proposed for multivariate multi …

Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal

S Bagherzadeh, MS Shahabi, A Shalbaf - Computers in Biology and …, 2022 - Elsevier
Detection of mental disorders such as schizophrenia (SZ) through investigating brain
activities recorded via Electroencephalogram (EEG) signals is a promising field in …

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 …

Seizure detection algorithm based on improved functional brain network structure feature extraction

L Jiang, J He, H Pan, D Wu, T Jiang, J Liu - Biomedical Signal Processing …, 2023 - Elsevier
Epilepsy is one of the most common neurological disorders. Accurate detection of epileptic
seizures is essential for treatment. A seizure detection method with the structure of functional …

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 …

Automated Schizophrenia detection using local descriptors with EEG signals

TS Kumar, KN Rajesh, S Maheswari… - … Applications of Artificial …, 2023 - Elsevier
Schizophrenia (SZ) is a severe mental disorder characterized by behavioral imbalance and
impaired cognitive ability. This paper proposes a local descriptors-based automated …

A hybrid decision support system for automatic detection of Schizophrenia using EEG signals

SK Khare, V Bajaj - Computers in biology and medicine, 2022 - Elsevier
Background Schizophrenia (SCZ) is a serious neurological condition in which people suffer
with distorted perception of reality. SCZ may result in a combination of delusions …