Optimized Signal Processing of Fetal MCG

胎儿 MCG 的优化信号处理

• 批准号: 7806373
• 负责人: RONALD T WAKAI
• 金额: $ 36.88万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-07-01 至 2013-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7806373
• 关键词: Adult; Algorithms; Arrhythmia; Characteristics; Data; Detection; Diagnostic; Edema; Electrophysiology (science); Evaluation; Fetal Heart Rate; Fetus; Gestational Age; Goals; Heart Rate; Heart failure; High-Risk Pregnancy; Methods; Outcome; Pattern; Research; Resolution; Risk; Signal Transduction; Solutions; Sudden Death; Techniques; Technology; Ultrasonography; base; computerized data processing; congenital heart disorder; fetal; heart rate variability; high risk; improved; independent component analysis; particle; patient population; spatiotemporal; success; tool

DESCRIPTION (provided by applicant): While the number of diagnostic technologies available for adult applications continues to grow, there remains a paucity of technologies suitable for fetal evaluation. In particular, noninvasive assessment of fetal electrophysiology has not been routinely possible. In the last few years, however, we and other groups have demonstrated the efficacy of fetal magnetocardiography (fMCG) as a new method of evaluating fetal arrhythmia, including its ability to provide critical information unavailable from ultrasound. Building on this success, we propose here to develop techniques to further improve the signal resolution of fMCG and to extend its applicability to other patient populations, including fetuses with congenital heart disease and increased risk of heart failure and sudden death. The two main goals of the research are: 1) to improve the efficacy of fMCG as a diagnostic tool for fetal rhythm assessment by investigating new signal processing methods to increase the resolution of fMCG waveform components and the signal detection rate at early gestational ages. This will be accomplished by: "implementing independent component analysis (ICA) algorithms to separate the fetal signal from maternal and environmental interference " developing new methods of computing fetal heart rate tracings and estimating the spatiotemporal characteristics of the fMCG, based on the concept of particle filtering " utilizing ultrasound imaging to estimate an fMCG forward solution that can be used to develop a data- independent beamformer 2) to identify magnetophysiological markers associated with suboptimal outcome in fetuses with arrhythmia, congenital heart disease, hydrops, and other high-risk conditions. This will be accomplished by: developing techniques to improve the detection accuracy of T-wave abnormalities, including "microvolt-T-wave alternans" correlating ominous heart rate and rhythm patterns, such as T-wave alternans, PR- and ST-segment shifts, nonreactivity, and low heart rate variability, with outcome in various high-risk pregnancy conditions. The goals of the research are 1) to develop new techniques to improve the efficacy of fetal magnetocardiography as a diagnostic tool for assessment of fetuses with arrhythmia, congenital heart disease, hydrops, and other high-risk conditions, and 2) to identify magnetophysiological markers associated with suboptimal outcome and risk of sudden fetal demise.

描述（由申请人提供）：虽然用于成人应用的诊断技术数量持续增长，但适用于胎儿评估的技术仍然缺乏。特别是，胎儿电生理的无创评估尚未成为常规的可能。然而，在过去的几年里，我们和其他小组已经证明了胎儿心脏磁图（fMCG）作为评估胎儿心律失常的新方法的有效性，包括它提供超声无法获得的关键信息的能力。在此成功的基础上，我们建议开发技术来进一步提高快速消费品的信号分辨率，并将其应用于其他患者群体，包括患有先天性心脏病和心力衰竭和猝死风险增加的胎儿。本研究的两个主要目标是：1)通过探索新的信号处理方法，提高fMCG波形分量的分辨率和早期妊娠期fMCG信号的检出率，提高fMCG作为胎儿节律评估诊断工具的有效性。这将通过以下方式实现：“实施独立分量分析（ICA）算法，将胎儿信号从母体和环境干扰中分离出来”，“开发计算胎儿心率追踪和估计fMCG时空特征的新方法”；基于粒子滤波的概念，利用超声成像来估计fMCG正向解决方案，可用于开发数据独立的波束形成器2)，以识别与患有心律失常、先天性心脏病、水肿和其他高危疾病的胎儿的次优结局相关的磁生理标记。这将通过开发技术来提高t波异常的检测准确性，包括“微伏- t波交替”，将不祥的心率和节律模式（如t波交替、PR段和st段移位、无反应性和低心率变异性）与各种高危妊娠条件的结果相关联。本研究的目标是：1)开发新的技术来提高胎儿心脏磁图作为评估胎儿心律失常、先天性心脏病、水肿和其他高危情况的诊断工具的有效性；2)识别与次优结局和胎儿猝死风险相关的磁生理标志物。