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eess.SP2026
Empirical mode decomposition and interpretable machine learning for preterm birth classification from electrohysterography
Umesha Tilakarathna, Senith Jayakody, Kalana Jayasooriya +4
Preterm birth (PTB) remains a major global health problem, and reliable non-invasive risk assessment remains difficult. Electrohysterography (EHG) records uterine electrical activi…
eess.SP2025
Inductive transfer learning from regression to classification in ECG analysis
Ridma Jayasundara, Ishan Fernando, Adeepa Fernando +3
Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide, accounting for over 30% of global deaths according to the World Health Organization (WHO). Importantly,…