Massimo Donelli

An attention-enhanced CNN-BiLSTM framework with confidence-gated inference for arrhythmia detection using ECG signals

Automated arrhythmia detection from electrocardiogram (ECG) signals is essential for early diagnosis and continuous cardiac monitoring. However, accurate classification remains challenging due to complex temporal dependencies in ECG waveforms and severe class imbalance, where clinically significant arrhythmias are unde...