Development of Spatial-Temporal Analysis Tools for Uterine Biomagnetic Signals

描述（由申请人提供）：在阿肯色大学医学科学学院（UAMS），我们安装了世界上第一个非侵入性生物磁传感系统，该系统经过专门修改和设计，用于研究母胎健康的各个方面。该系统可以记录子宫收缩电活动所对应的磁场，并提供必要的时空信息。我们的初步研究表明，通过记录子宫磁断层图（MMG）信号，我们可以定位子宫收缩期间的激活区域。这使我们能够探索子宫收缩的起源和传播，尽管起搏器位置从一个收缩转移到另一个收缩。我们可以通过绘制磁场分布来定位起搏器，并通过获得每次收缩期间活跃传感器的百分比来量化扩散，传感器分布在整个母体腹部。为了利用该仪器获得的时空分辨率，我们需要进一步增强计算和分析工具，使其成为一种临床设备，用于预测足月和早产患者的分娩开始。在本提案中，我们的目标是发展技术，以改善提取，识别和验证过程的子宫磁断层扫描活动。通过实现这一目标，我们可以努力实现一个全面的仪器和方案，这将有助于预测分娩的开始。这种能力对于足月患者的管理，特别是对高危早产患者的管理具有重要的临床意义。我们希望通过首先改进数据收集和信号提取的可靠性来推进目前的发展状态。然后，我们希望开发验证信号一致性的技术，以便进行数据解释。项目总体目标包括：(1)提取与检测：改进子宫MMG时空信号的提取方法，开发高效分离算法。(2)量化：我们建议量化空间和时间参数，这将有助于预测分娩的开始。(3)特征化：作为进一步的步骤，我们计划表征激活区域，传播速度和方向，以及活动的传播作为距离的函数。(4)建模：建立一个简单的双域模型，并探索其与MMG记录的关系。相关性：一种客观的技术来预测足月和早产患者的分娩将对帮助妊娠管理有很大的临床益处。获得的信息可导致侧重于预防或控制早产的具体应用方法，从而减少早产的发生率。

DESCRIPTION (provided by applicant): At University of Arkansas for Medical Sciences (UAMS) we have installed the world's first non-invasive biomagnetic sensing system that was specifically modified and designed to study various aspects of maternal-fetal health. This system can record the magnetic field corresponding to the electrical activity of uterine contraction and provide requisite spatial-temporal information. Our preliminary studies show that by recording uterine magnetomyographic (MMG) signals we can localize the area of activation over the uterus during a contraction. This allows us to explore the origin and propagation of uterine contraction despite the shifting of the pacemaker site from one contraction to another. We can localize the pacemaker by mapping the magnetic field distribution and quantify the spread by obtaining the percent of sensors active during each contraction with sensors spread over the entire maternal abdomen. To take advantage of the spatial-temporal resolution obtained by this instrument, we need to further enhance computational and analysis tools to develop it as a clinical device to predict the onset of labor both in the case of term and preterm patients. In this proposal our goal is to develop techniques to improve extraction, recognition and validation process of uterine magnetomyographic activity. By accomplishing this goal we can work towards achieving a comprehensive instrumentation and protocol that would aid in prediction of onset of labor. This ability would be of great clinical benefit for the management of the term patient and especially for the management of patients at high risk for premature delivery. We would like to advance the present state of development by first improving data collection and reliability of signal extraction. Then we want to develop techniques for verifying consistency of the signal so that data interpretation can proceed. The overall goals of the project include: (1) EXTRACTION and DETECTION: Improve methods for extraction and development of efficient separation algorithms for the spatial-temporal uterine MMG signals. (2) QUANTIFICATION: We propose to quantify the spatial and temporal parameters that could be would aid in prediction of the onset of labor. (3) CHARECTERIZATION: As a further step we plan to characterize the regions of activation, propagation velocity and direction, and the spread of activity as a function of distance.(4) MODELING: Develop a simple bidomain model and explore its relationship to MMG recordings. Relevance: An objective technique to predict the onset of labor in term and preterm patients would be of great clinical benefit to aid in management of pregnancies. Information gained can result in methods focusing on specific applications to prevent or control preterm labor thereby reducing the incidence of preterm birth.