Al-Zaben A, Al-Smadi A
Electronics Engineering Department, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid, Jordan.
Phys Med Biol. 2006 Jan 7;51(1):137-43. doi: 10.1088/0031-9155/51/1/010. Epub 2005 Dec 15.
Extraction of foetal ECG that is embedded in the maternal ECG is a challenging problem. This paper presents a combined system to extract foetal ECG from maternal abdominal ECG. The system uses a combination of singular value decomposition (SVD) and a neuro-fuzzy inference system. The SVD is used to construct two reference signals, while the fuzzy system is used as an adaptive canceller. The algorithm is applied on synthetic as well as real data and the results are presented. In addition, the paper presents an example of using the same system as a noise removal tool.
从包含在母体心电图中的胎儿心电图中提取信号是一个具有挑战性的问题。本文提出了一种从母体腹部心电图中提取胎儿心电图的组合系统。该系统使用奇异值分解（SVD）和神经模糊推理系统相结合的方法。奇异值分解用于构建两个参考信号，而模糊系统用作自适应抵消器。该算法应用于合成数据和实际数据，并展示了结果。此外，本文还给出了将同一系统用作噪声去除工具的示例。
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