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基于并行边缘化粒子滤波的单导联胎儿心电图提取。

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

机构信息

College of Electronics and Information, Hangzhou Dianzi University; Hangdian Smart City Research Center of Zhejiang Province, Hangzhou 310018, China.

School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.

出版信息

Sensors (Basel). 2017 Jun 21;17(6):1456. doi: 10.3390/s17061456.

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.

摘要

本文提出了一种从单导联腹部信号中提取胎儿心电图(FECG)的新方法。提出了一种改进的腹部信号动力学模型,对母体心电图(MECG)和 FECG 进行建模,然后使用并行边缘化粒子滤波器(par-MPF)对腹部信号进行跟踪。最后,FECG 和 MECG 同时分离。使用模拟和临床信号进行了几项实验。结果表明,本文提出的方法能够有效地提取 FECG,优于其他贝叶斯滤波算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5447/5492164/2454cf9e44bf/sensors-17-01456-g001.jpg

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