An Integrated Approach for Fetal Heart Rate Estimation from Abdominal Electrocardiogram Signal

WEI Xueyun; ZHENG Wei

doi:10.1049/cje.2019.08.002

Volume 28 Issue 6

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Article Navigation > Chinese Journal of Electronics > 2019 > 28(6): 1198-1203

WEI Xueyun and ZHENG Wei, “An Integrated Approach for Fetal Heart Rate Estimation from Abdominal Electrocardiogram Signal,” Chinese Journal of Electronics, vol. 28, no. 6, pp. 1198-1203, 2019, doi: 10.1049/cje.2019.08.002

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WEI Xueyun and ZHENG Wei, “An Integrated Approach for Fetal Heart Rate Estimation from Abdominal Electrocardiogram Signal,” Chinese Journal of Electronics, vol. 28, no. 6, pp. 1198-1203, 2019, doi: 10.1049/cje.2019.08.002

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An Integrated Approach for Fetal Heart Rate Estimation from Abdominal Electrocardiogram Signal

doi: 10.1049/cje.2019.08.002

School of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61601206), Natural Science Foundation of Jiangsu Province of China (No.BK20160565), and Natural Science Research of the Colleges and Universities in the Jiangsu Province of China (No.16KJD510001).

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Corresponding author: ZHENG Wei (corresponding author) was born in Hubei Province,China,in 1982.He received the Ph.D.degree in circuit and system from Nanjing University,Nanjing,China,in 2011.His research interests include biomedical signal processing and underwater signal detection.(Email:zhweiweixy@gmail.com)
Received Date: 2017-03-27
Rev Recd Date: 2018-02-11
Publish Date: 2019-11-10

Abstract

Abstract

This paper introduces an integrated approach to estimate the fetal heart rate from the abdominal Electrocardiogram (ECG) signal. Empirical mode decomposition (EMD) can decompose the fetal ECG signal into a set of intrinsic mode functions, which can be used as the indicator of the occurrence for the fetal heartbeats. The decomposition basis functions are directly derived from the fetal signal under test, which make the detection process robust and adaptive. Multiple signal classification (MUSIC) is a high resolution algorithm for frequency estimation, which can be applied to the fetal heartbeats indicator sequence output from the preceding EMD, estimating the fetal heart rate in frequency domain without the heartbeat wave detection. Compared with the popular Independent component analysis (ICA) method, the proposed method has shown improved robustness and fidelity in estimation of the fetal heart rate during testing with real fetal ECG database from DaISy and PhysioNet.
- Fetal heart rate estimation,
- Nonstationarity signal analysis,
- High resolution spectrum estimation

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References(20)

References

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