Yu-Seop Kim

Hybrid Multimodal Fusion of Raw ECG Signals and Derived Measurements for Stroke Classification

Stroke is a leading cause of death and long-term disability, and auxiliary methods for rapid patient identification are needed. Previous studies based on electrocardiography (ECG) have attempted stroke classification using quantitative measurements and future stroke risk prediction using raw signals. However, measureme...