Neural decoding of EEG signals with machine learning: a systematic review

M Saeidi, W Karwowski, FV Farahani, K Fiok, R Taiar… - Brain sciences, 2021 - mdpi.com
Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

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 …

Self-supervised learning for electroencephalography

MH Rafiei, LV Gauthier, H Adeli… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Decades of research have shown machine learning superiority in discovering highly
nonlinear patterns embedded in electroencephalography (EEG) records compared with …

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 …

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 …

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 …

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 …

[HTML][HTML] Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning

A Maher, SM Qaisar, N Salankar, F Jiang… - biocybernetics and …, 2023 - Elsevier
The Brain-computer interface (BCI) is used to enhance the human capabilities. The hybrid-
BCI (hBCI) is a novel concept for subtly hybridizing multiple monitoring schemes to …

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 …