R. Butsii

Rhythm-Adaptive Recognition of ECG Pathologies Using Model-Informed Preprocessing and Classical Machine Learning Classifiers

Automatic ECG pathology recognition is increasingly dominated by deep neural networks trained on very large datasets. Although such approaches can be highly accurate, they often require extensive labeled corpora, considerable computational resources, and post hoc explainability tools. This paper investigates a lighter...