Machine learning based ECG analysis with data augmentation for fatigue status detection in elderly individuals
Fatigue detection in elderly individuals is critical for preventing health complications and enhancing quality of life. Electrocardiogram (ECG) signals offer a non-invasive way to capture fatigue-related physiological changes, but few solutions are lightweight, interpretable, and deployable in real-world settings. Th...