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Sensors 2017, 17(6), 1456; doi:10.3390/s17061456

Single-Lead Fetal ECG Extraction Based on a Parallel Marginalized Particle Filter

1
College of Electronics and Information, Hangzhou Dianzi University; Hangdian Smart City Research Center of Zhejiang Province, Hangzhou 310018, China
2
School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
3
Women’s Hospital School of Medicine Zhejiang University, Hangzhou 310006, China
*
Author to whom correspondence should be addressed.
Received: 2 May 2017 / Revised: 15 June 2017 / Accepted: 17 June 2017 / Published: 21 June 2017
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Abstract

This paper presents a novel method for extracting the fetal ECG (FECG) from a single-lead abdominal signal. A dynamical model for a modified abdominal signal is proposed, in which both the maternal ECG (MECG) and the FECG are modeled, and then a parallel marginalized particle filter (par-MPF) is used for tracking the abdominal signal. Finally, the FECG and MECG are simultaneously separated. Several experiments are conducted using both simulated and clinical signals. The results indicate that the method proposed in this paper effectively extracts the FECG and outperforms other Bayesian filtering algorithms. View Full-Text
Keywords: Fetal ECG; marginalized particle filter; ECG dynamical model; extended Kalman filter Fetal ECG; marginalized particle filter; ECG dynamical model; extended Kalman filter
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MDPI and ACS Style

Zhao, Z.; Tong, H.; Deng, Y.; Xu, W.; Zhang, Y.; Ye, H. Single-Lead Fetal ECG Extraction Based on a Parallel Marginalized Particle Filter. Sensors 2017, 17, 1456.

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