Maternal-Fetal Heart Sound/Electrocardiogram Monitoring and Cardiac Risk Early Warning

Perinatal cardiovascular health poses significant threats to maternal and fetal safety. Pregnancy-associated heart disease remains the leading cause of non-obstetric maternal mortality in China. While conventional assessments rely on static and intermittent monitoring, dynamic changes in cardiac function during pregnancy often go undetected, leading to missed opportunities for early intervention. Fetal congenital heart disease (CHD) and autoimmune-related fetal complete heart block (CHB) are major causes of adverse perinatal outcomes. Current diagnostic methods, primarily relying on fetal echocardiography, struggle to detect early electrophysiological abnormalities, resulting in delayed warning times. This study integrates non-invasive wearable technology to dynamically collect maternal-fetal heart sound and ECG signals. It aims to establish normal reference standards, screen sensitive early warning indicators, construct predictive models for perinatal adverse events, and finally develop a clinical risk stratification workflow. Signal acquisition was initiated at the following gestational ages: fECG from approximately 12 weeks of gestation, fPCG from approximately 16 weeks of gestation, and maternal signals (mECG and mPCG) from the time of enrollment. All signals were acquired serially until delivery.