Foetal ECG extraction using non-linear adaptive noise canceller with multiple primary channels
Foetal ECG extraction using non-linear adaptive noise canceller with multiple primary channels
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DOI：
10.1049/iet-spr.2016.0605
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发表时间：
2018-04-01
影响因子：
1.7
通讯作者：
Sun, Jinwei
中科院分区：
文献类型：
--
作者：
Ma, Yaping;Xiao, Yegui;Sun, Jinwei
提出了一种同时具有多主通道和多参考通道的非线性多传感器自适应噪声抵消器(ANC，MsANC)用于胎儿心电信号的提取。主通道由线性组合器(LC)连接，其输出用作整个MsANC的主信号。在每个参考通道中放置有限脉冲响应(FIR)滤波器或非线性滤波器[Volterra滤波器，或FIR滤波器+函数链接人工神经网络(FLANN)，或FIR滤波器+广义FLANN]，以近似胸部母体心电(ANC参考信号)和腹部心电(ANC主信号)之间的线性和非线性映射。连接主通道的LC由约束递归最小二乘算法更新，而放置在参考通道中的线性和非线性滤波器以最小均方意义更新。使用来自Physionet非侵入性胎儿心电数据库和DAISY数据库的两个真实数据集来显示所提出的MsANC的有效性。实验结果表明，与已有的只有一条主通道的ANC相比，MsANC在增加主通道数量的同时，性能得到了显著的提高。
A non-linear multi-sensory adaptive noise canceller (ANC, MsANC) with both multi-primary and multi-reference channels is proposed for foetal electrocardiogram (FECG) extraction. The primary channels are connected by a linear combiner (LC) whose output serves as a primary signal for the whole MsANC. A finite impulse response (FIR) filter or a non-linear filter [a Volterra filter, or an FIR filter plus a functional link artificial neural network (FLANN), or an FIR filter plus a generalised FLANN] is placed in each reference channel to approximate the linear and non-linear mappings between the chest maternal ECG (ANC reference signal) and the abdominal ECG (ANC primary signal). The LC connecting the primary channels is updated by a constrained recursive least square algorithm, while the linear and non-linear filters placed in reference channels are updated in a least mean square sense. Two real datasets derived from the Physionet non-invasive FECG database as well as the DaISy database are used to show the effectiveness of the proposed MsANC. Experimental results have revealed that the proposed MsANC results in considerable performance improvement as the number of primary channels is increased in comparison with existing ANCs with a single primary channel.