一种新的胎儿心电图提取算法

A New Fetal Electrocardiogram Extraction Algorithm

针对胎儿心电图提取问题,提出了一种基于峭度和自相关函数联合最大化的算法。该算法充分利用了胎儿心电图与其他源信号(如各种噪声、母体心电图)的统计独立性,以及胎儿心电图在时域上的特殊结构等信息,因而能提取出更加清晰的胎儿心电图。大量的仿真试验表明,该算法能快速有效地提取胎儿心电图,并能有效地抑制许多噪声。

This paper proposes an algorithm for Fetal Electrocardiogram （FECG） extraction, which is based on joint maximization of kurtosis and autocorrelation. It fully exploits the FECG＇s special temporal property and its independence on other sources （such as some noise, the maternal electrocardiogram）; therefore it is able to extract clearer FECGs, compared with existing algorithms. Extensive experiments show that the proposed algorithm can rapidly and efficiently extract FECGs and greatly reduce lots of noise.