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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms
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Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms

机译：非侵入性胎儿监测：一种基于母体表面心电电极放置的新颖方法使用LMS和RLS算法优化自适应滤波器控制参数

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This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters (such as step size μ and filter order N) of LMS and RLS adaptive filters used for noninvasive fetal monitoring. The optimization algorithm is driven by considering the ECG electrode positions on the maternal body surface in improving the performance of these adaptive filters. The main criterion for optimal parameter selection was the Signal-to-Noise Ratio (SNR). We conducted experiments using signals supplied by the latest version of our LabVIEW-Based Multi-Channel Non-Invasive Abdominal Maternal-Fetal Electrocardiogram Signal Generator, which provides the flexibility and capability of modeling the principal distribution of maternal/fetal ECGs in the human body. Our novel algorithm enabled us to find the optimal settings of the adaptive filters based on maternal surface ECG electrode placements. The experimental results further confirmed the theoretical assumption that the optimal settings of these adaptive filters are dependent on the ECG electrode positions on the maternal body, and therefore, we were able to achieve far better results than without the use of optimization. These improvements in turn could lead to a more accurate detection of fetal hypoxia. Consequently, our approach could offer the potential to be used in clinical practice to establish recommendations for standard electrode placement and find the optimal adaptive filter settings for extracting high quality fetal ECG signals for further processing. Ultimately, diagnostic-grade fetal ECG signals would ensure the reliable detection of fetal hypoxia.
机译：本文着重于设计，实施和验证一种用于优化用于无创胎儿监护的LMS和RLS自适应滤波器的控制参数（例如步长μ和滤波器阶数N）的新颖方法。优化算法是通过考虑ECG电极在孕妇体表上的位置来驱动的，以提高这些自适应滤波器的性能。最佳参数选择的主要标准是信噪比（SNR）。我们使用最新版的基于LabVIEW的多通道非侵入式腹部-胎儿心电图信号发生器提供的信号进行了实验，该信号发生器提供了建模人体/胎儿ECG的主要分布的灵活性和功能。我们的新颖算法使我们能够根据母体表面ECG电极位置找到自适应滤波器的最佳设置。实验结果进一步证实了以下理论假设：这些自适应滤波器的最佳设置取决于母体上ECG电极的位置，因此，与不使用优化方法相比，我们可以获得更好的结果。这些改进反过来可以导致更准确地检测胎儿缺氧。因此，我们的方法可能会为临床实践中使用，以建立标准电极放置的建议并找到最佳的自适应滤波器设置，以提取高质量的胎儿ECG信号进行进一步处理提供可能。最终，诊断级胎儿心电信号将确保可靠地检测胎儿缺氧。

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