Convolutional Neural Network Fused With Recurrent Network for ECG‐Based Detection of Hypertrophic Cardiomyopathy

The proposed model accurately detects HCM by combining advanced feature extraction and a hybrid deep learning approach that captures both spatial and temporal ECG patterns. It also shows strong performance and reliability across multiple databases, making it valuable for early and effective clinical diagnosis.