多视角分层表征学习用于胎儿血流动力学的母高血压检测
Multi-View Hierarchical Representation Learning of Fetal Hemodynamics for Maternal Hypertension Detection at the Edge
AI总结：
本文提出AutoHyPE模型，通过多视角策略和对比学习提升表征鲁棒性，实现母高血压检测AUROC达0.80，支持利用低成本超声技术进行持续监测。
摘要：
妊娠高血压仍是全球母胎发病率的主要原因，但诊断依赖间歇性血压测量，易受偏倚影响且无法捕捉连续生理动态。研究发现胎儿心血管活动与母胎血流动力学相关，可能编码母高血压标志物。本文收集了3255名孕妇的胎儿一维多普勒超声数据及血压数据，开发了AutoHyPE模型，结合原型对比学习和多视角策略，实现了母高血压检测AUROC达0.80，优于基线方法且在边缘部署中性能稳定。研究证明胎儿心脏机械活动包含提示母高血压状态的血流动力学特征，支持利用现有低成本超声技术进行持续客观监测，为传统血压方法提供补充方案，推动可扩展的产前护理发展。
英文摘要：
Hypertensive disorders of pregnancy remain a leading cause of maternal and fetal morbidity worldwide, yet diagnosis relies on intermittent cuff-based blood pressure measurements that are prone to bias and fail to capture continuous physiological dynamics. Growing evidence suggests that fetal cardiovascular activity is associated with maternal-placental hemodynamics and may encode markers of maternal hypertension. To analyze this, we collected a large-scale dataset of fetal one-dimensional Doppler ultrasound recordings paired with maternal blood pressure from 3,255 pregnant women across 8,170 antenatal visits in rural Guatemala. We developed AutoHyPE, a hierarchical attention network that models short- and long-term signal structure, incorporating a novel prototype-based contrastive learning and multi-view strategy to enhance representation robustness under long-tailed class distribution and biological variability. AutoHyPE achieved an AUROC of 0.80 for maternal hypertension detection, outperforming baseline approaches while maintaining balanced performance across classes, with no performance degradation in an edge deployment scenario. Our findings demonstrated that fetal cardiac mechanical activity contains hemodynamic features indicative of maternal hypertension status. This supports a promising paradigm shift toward continuous, objective monitoring of maternal health using existing, low-cost ultrasound technology and introduces a complementary approach to traditional methods based on blood pressure measurements, advancing scalable prenatal care.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
