7 papers
NeuroStrata: An Electroencephalographic Connectivity-Aware Deep Representation Learning Framework for Dynamic Brain Network Analysis of Mental Stress
Sayantan Acharya, Hamzeh Asgharnezhad, Abbas Khosravi +3
This study introduces NeuroStrata, a connectivity-aware deep representation learning framework for EEG-based mental stress analysis using Time-Varying Partial Directed Coherence (T…
UCTECG-Net: Uncertainty-aware Convolution Transformer ECG Network for Arrhythmia Detection
Hamzeh Asgharnezhad, Pegah Tabarisaadi, Abbas Khosravi +2
Deep learning has improved automated electrocardiogram (ECG) classification, but limited insight into prediction reliability hinders its use in safety-critical settings. This paper…
Rewiring Human Brain Networks via Lightweight Dynamic Connectivity Framework: An EEG-Based Stress Validation
Sayantan Acharya, Abbas Khosravi, Douglas Creighton +2
In recent years, Electroencephalographic analysis has gained prominence in stress research when combined with AI and Machine Learning models for validation. In this study, a lightw…
Exploring the Relationships Between Physiological Signals During Automated Fatigue Detection
Kourosh Kakhi, Abbas Khosravi, Roohallah Alizadehsani +1
Fatigue detection using physiological signals is critical in domains such as transportation, healthcare, and performance monitoring. While most studies focus on single modalities,…
A Quad-Step Approach to Uncertainty-Aware Deep Learning for Skin Cancer Classification
Hamzeh Asgharnezhad, Pegah Tabarisaadi, Abbas Khosravi +2
Accurate skin cancer diagnosis is vital for early treatment and improved patient outcomes. Deep learning (DL) models have shown promise in automating skin cancer classification, ye…
Fatigue Monitoring Using Wearables and AI: Trends, Challenges, and Future Opportunities
Kourosh Kakhi, Senthil Kumar Jagatheesaperumal, Abbas Khosravi +2
Monitoring fatigue is essential for improving safety, particularly for people who work long shifts or in high-demand workplaces. The development of wearable technologies, such as f…