无创监测胎儿血氧，精度达95%以上，有望替代传统胎心监护。
Transabdominal Fetal Oximetry via Diffuse Optics: Principled Analysis and Demonstration in Pregnant Ovine Models
- 提出新型指数脉动比特征与多探测器融合算法
- 模拟与活体实验中误差低于5%和7%，相关性超0.7
- 适合产时胎儿监测，为无创胎心监护提供新方案
漫射光学有望通过实现胎儿血氧饱和度（fSpO₂）的连续监测，显著提升胎儿健康评估水平。为提高传感精度并揭示经腹胎儿氧合监测（TFO）在漫射光学下的基础极限，本文提出理论推导与完整数据处理流程，基于仿真与妊娠绵羊模型的活体实验数据，实现非侵入式漫射光强信号的fSpO₂估计。我们引入指数脉动比（EPR）作为核心特征，并构建机器学习模型融合多探测器信息。所提方法在模拟数据集上实现4.81%的平均绝对误差（MAE）和0.81的皮尔逊相关系数（p<0.001），在活体数据集上分别为6.85%和0.71（p<0.001）。跨两组数据集均优于现有方法，显著提升估计精度，验证其作为产时胎儿监测补充技术的可行性。
原文摘要 · Abstract (English)
Diffuse optics has the potential to offer a substantial advancement in fetal health monitoring via enabling continuous measurement of fetal blood oxygen saturation (fSpO$_2$). Aiming to enhance the sensing accuracy and to elucidate the foundational limits of Transabdominal Fetal Oximetry (TFO) via diffuse optics, we introduce a theoretical derivation, and a comprehensive pipeline for fSpO$_2$ estimation from non-invasively sensed diffuse light intensity values, which are leveraged to analyze datasets obtained through both simulations and in-vivo experiments in gold standard large animal model of pregnancy. We propose the Exponential Pulsation Ratio (EPR) as a key feature, and develop machine-learning models to fuse the information collected across multiple detectors. Our proposed method demonstrates a Mean Absolute Error (MAE) of 4.81% and 6.85% with a Pearson's r correlation of 0.81 (p<0.001) and 0.71 (p<0.001) for estimation of fSpO$_2$ in simulated dataset and in-vivo dataset, respectively. Across both datasets, our method outperforms the existing approaches, enhancing the accuracy of the fSpO$_2$ estimation and demonstrates its viability as a supplemental technology for intrapartum fetal monitoring.
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