Research Highlights

Early Prediction of Sudden Cardiac Death Using Multimodal Fusion of ECG Features Extracted from Hilbert-Huang and Wavelet Transforms with Explainable Vision

Authors :- M Sharma, V Azad, H Telangore, A Bhurane at el.

Publication :- Computer Methods and Programs in Biomedicine (Elsevier), 2024

Sudden cardiac death (SCD) is a critical health issue characterized by the sudden failure of heart function, often caused by ventricular fibrillation (VF). Early prediction of SCD is crucial to enable timely interventions. However, current methods predict SCD only a few minutes before its onset, limiting intervention time. This study aims to develop a deep learning-based model for the early prediction of SCD using electrocardiography (ECG) signals.