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 …

Remote photoplethysmography (rPPG) based learning fatigue detection

L Zhao, X Zhang, X Niu, J Sun, R Geng, Q Li, X Zhu… - Applied …, 2023 - Springer
Remote photoplethysmography (rPPG), which uses a facial video to measure skin reflection
variations, is a contactless method for monitoring human cardiovascular activity. Due to its …

Enhancing EEG signal analysis with geometry invariants for multichannel fusion

D Cimr, H Fujita, D Busovsky, R Cimler - Information Fusion, 2024 - Elsevier
Automated computer-aided diagnosis (CAD) has become an essential approach in the early
detection of health issues. One of the significant benefits of this approach is high accuracy …

Patient deterioration detection using one-class classification via cluster period estimation subtask

T Hayashi, D Cimr, F Studnička, H Fujita, D Bušovský… - Information …, 2024 - Elsevier
Deterioration is the significant degradation of the physical state prior to death. Detecting the
deterioration of patients could provide an early warning to their families in instances of …