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| Fetal ECG Extraction from Single-Channel Abdominal ECG Based on EKF Combined with SVD |
| Bu Zhaohui1, Zhou Bin2, Yin Xiaojing1, Zheng Zheng1#* |
1(Institute of Biomedical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)
2(School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China) |
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Abstract In this paper, an approach based on extended Kalman filtering (EKF) combined with singular value decomposition (SVD) was proposed to extract fetal electrocardiogram (fECG) from single-channel abdominal ECG recording. First, on the basis of the dynamic model of maternal electrocardiogram established, the maternal ECG component was estimated from the single-channel abdominal signal by EKF or extended Kalman smoothing (EKS). Next, the preliminary estimation of fetal ECG was obtained by subtracting the maternal ECG component from the single-channel abdominal signal. To obtain the fetal ECG with high signal-to-noise ratio, the preliminary fetal ECG was denoised using SVD. In addition, an improved construction method of the ECG signal reconstruction matrix was proposed in the SVD algorithm for the case of fetal arrhythmia. Synthetic abdominal signals and real abdominal signals (49 abdominal channels in total from DaISy database and PhysioNet non-invasive fetal ECG database) were used for fetal ECG extraction. The results showed that the signal-to-noise ratio of fetal ECG extracted by EKF+SVD or EKS+SVD was about 5 dB higher than that by EKF or EKS alone, and the accuracy of fetal ECG extraction was 95.60% and 95.94%, respectively. In conclusion, the single-channel fetal ECG extraction method based on the combination of EKF and SVD could effectively improve the signal-to-noise ratio and accuracy of fetal ECG signals extraction, and would be suitable for maternal or fetal arrhythmia.
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Received: 17 January 2019
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Corresponding Authors:
E-mail: zheng.zheng@usst.edu.cn
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