漫射光学经腹部胎儿血氧测定:怀孕羊模型的原理分析和论证。

ArXiv Pub Date : 2025-09-25
Weitai Qian, Rishad Raiyan Joarder, Randall Fowler, Begum Kasap, Mahya Saffarpour, Kourosh Vali, Tailai Lihe, Aijun Wang, Diana Farmer, Soheil Ghiasi
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引用次数: 0

摘要

漫射光学通过实现胎儿血氧饱和度(fSpO$_2$)的连续测量,有可能在胎儿健康监测方面提供实质性的进步。为了提高经腹胎儿血氧仪(TFO)的传感精度和阐明漫射光学的基本局限性,本文介绍了一种基于无创漫射光强度值估计fSpO$_2$的理论推导和综合方法,并利用该方法分析了金标准大型妊娠动物模型的模拟和体内实验数据集。我们提出指数脉动比(EPR)作为关键特征,并开发机器学习模型来融合从多个探测器收集的信息。我们提出的方法显示平均绝对误差(MAE)为4.81%和6.85%,Pearson's r相关性为0.81 (p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transabdominal Fetal Oximetry via Diffuse Optics: Principled Analysis and Demonstration in Pregnant Ovine Models.

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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