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使用奇异值分解从单通道母体心电图中提取胎儿心电图。

Fetal ECG extraction from single-channel maternal ECG using singular value decomposition.

作者信息

Kanjilal P P, Palit S, Saha G

机构信息

Department of Electronics and ECE, Indian Institute of Technology, Kharagpur, India.

出版信息

IEEE Trans Biomed Eng. 1997 Jan;44(1):51-9. doi: 10.1109/10.553712.

DOI:10.1109/10.553712
PMID:9214783
Abstract

The extraction of fetal electrocardiogram (ECG) from the composite maternal ECG signal obtained from the abdominal lead is discussed. The proposed method employs singular value decomposition (SVD) and analysis based on the singular value ratio (SVR) spectrum. The maternal ECG (M-ECG) and the fetal ECG (F-ECG) components are identified in terms of the SV-decomposed modes of the appropriately configured data matrices, and elimination of the M-ECG and determination of F-ECG are achieved through selective separation of the SV-decomposed components. The unique feature of the method is that only one composite maternal ECG signal is required to determine the F-ECG component. The method is numerically robust and computationally efficient.

摘要

本文讨论了从腹部导联获取的复合母体心电图信号中提取胎儿心电图(ECG)的方法。所提出的方法采用奇异值分解(SVD)并基于奇异值比(SVR)谱进行分析。根据适当配置的数据矩阵的奇异值分解模式来识别母体心电图(M-ECG)和胎儿心电图(F-ECG)成分,并通过对奇异值分解成分的选择性分离来实现M-ECG的消除和F-ECG的确定。该方法的独特之处在于仅需一个复合母体心电图信号即可确定F-ECG成分。该方法在数值上具有鲁棒性且计算效率高。

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