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 …

An End-to-End Brain Computer Interface System for Mental Workload Estimation through Hybrid Deep Learning Model

V Sharma, MK Ahirwal - Human-Centric Intelligent Systems, 2024 - Springer
In this paper, a new cascade one-dimensional convolutional neural network (1DCNN) and
bidirectional long short-term memory (BLSTM) model has been developed for binary and …

A functional connectivity metric method for EEG time series via nonlinear symbolization

L Wei, T Qiu, Z Wang, W Mei - Biomedical Signal Processing and Control, 2025 - Elsevier
Objective Functional connectivity assesses the functional relationship between brain regions
by measuring the correlation between them, and is critical for parsing how the brain works …

A divide and conquer approach for in-depth analysis of brain connectivity network using ordinal sequence based characterizer

MR Kose, MK Ahirwal, M Atulkar - Multimedia Tools and Applications, 2024 - Springer
The human brain is composed of discrete functional regions that interact with each other to
generate cognitive and/or physical activities. The functional analysis of the brain can be …

Research on recognition method of adolescent schizophrenia based on EEG feature fusion

X Lian, Z Wang, M Cai, C Gao… - … on Complex Medical …, 2023 - ieeexplore.ieee.org
Schizophrenia is a common mental illness, and adolescent schizophrenia has a higher
recurrence rate and disability rate than adult schizophrenia. In order to improve the …