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…
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…
cs.LG2023
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…