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Robust adaptive fetal heart rate estimation for single-channel abdominal ECG recording

机译:用于单通道腹部ECG记录的鲁棒自适应胎儿心率估计

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Although doppler ultrasound is now routinely applied to the detection of fetal heart rate (FHR) for the assessment of perinatal fetal well-being, it is unsuitable for long-term at-home monitoring due to its transmission of ultrasound beam directly to the fetal heart and the requirement of frequent repositioning the ultrasound probe. As a non-invasive diagnostic tool, fetal Electrocardiogram (FECG) recorded on the maternal abdominal wall enables long-term at-home monitoring during both pregnancy and delivery. However, the abdominal FECG possesses a very low signal-to-noise ratio (SNR), in which the maternal ECG (MECG) represents an predominant source of interference. This study focuses on the detection of FHR from abdominal ECG recordings for the application of portable household fetal monitoring. Considering the MECG exhibiting apparently morphological characteristics in time domain, the MECG is first described with a nonlinear dynamical space model. An adaptive strong tracking Kalman filtering algorithm is then proposed to deal with the time-varying impulsive noise like FECG and electromyogram and the nonlinearity of the dynamical model in the approaching of MECG from a single channel abdominal ECG recording. Finally, the FHR can be efficiently obtained by subtracting MECG from the abdominal recoding. Experimental results on both synthetic and realistic abdominal ECG recordings show that the proposed adaptive robust modelbased FHR detection method outperforms the other singlechannel model-based methods and is suitable for the application of portable at-home FHR monitoring due to its low computational complexity and its simple lead configuration.
机译:尽管现在多普勒超声通常用于检测胎儿心率(FHR)以评估围产期胎儿的健康状况,但由于其将超声波束直接传输到胎儿心脏,因此它不适合长期在家中监测以及经常重新放置超声探头的要求。作为一种非侵入性诊断工具,在孕妇腹壁上记录的胎儿心电图(FECG)可以在怀孕和分娩期间进行长期在家中监护。但是,腹部FECG具有非常低的信噪比(SNR),其中孕妇ECG(MECG)代表了主要的干扰源。这项研究的重点是从腹部ECG记录中检测FHR,以用于便携式家庭胎儿监护。考虑到MECG在时域中表现出明显的形态特征,因此首先用非线性动力学空间模型描述MECG。然后提出了一种自适应强跟踪卡尔曼滤波算法,以处理单通道腹部ECG记录中逼近MECG时的时变脉冲噪声和FECG和肌电图以及动力学模型的非线性。最后,可以通过从腹部记录中减去MECG来有效地获得FHR。腹部和腹部合成心电图记录的实验结果表明,基于自适应鲁棒模型的FHR检测方法优于其他基于单通道模型的方法,并且由于其计算复杂度低且操作简单,适合于便携式家用FHR监测的应用。引线配置。

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