A deep hybrid CNN–BiGRU model for inter-patient ECG beat classification
This study aims to develop and validate a robust machine learning-based framework for automated ECG beat classification, with the purpose of supporting rapid arrhythmia detection and improving the efficiency of clinical decision support systems. The work focuses on assessing the effectiveness of hybrid deep learning ar...