3 papers
cs.LG2025
A Context-Aware Temporal Modeling through Unified Multi-Scale Temporal Encoding and Hierarchical Sequence Learning for Single-Channel EEG Sleep Staging
Amirali Vakili, Salar Jahanshiri, Armin Salimi-Badr
Automatic sleep staging is a critical task in healthcare due to the global prevalence of sleep disorders. This study focuses on single-channel electroencephalography (EEG), a pract…
cs.LG2024
An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
Mehrshad Saadatinia, Armin Salimi-Badr
In this study, we leverage a deep learning-based method for the automatic diagnosis of schizophrenia using EEG brain recordings. This approach utilizes generative data augmentation…
eess.SP2024
Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach
Alireza Rashnu, Armin Salimi-Badr
Efficient early diagnosis is paramount in addressing the complexities of Parkinson's disease because timely intervention can substantially mitigate symptom progression and improve…