A signal quality assessment method for fetal QRS complexes detection

Author:

Zhong Wei,Mao Li,Du Wei

Abstract

<abstract> <sec><title>Objective</title><p>Non-invasive fetal ECG (NI-FECG) provides a non-invasive method to monitor the health of the fetus. However, the NI-FECG is easily interfered by noise, which makes the signal quality decline, leading to the fetal heart rate (FHR) monitoring becoming a challenging task.</p> </sec> <sec><title>Methods</title><p>In this work, an algorithm for dynamic evaluation of signal quality is proposed to improve the multi-channel FHR monitoring. The innovation of the method is to assess the signal quality in the process of multi-channel fetal QRS (FQRS) complexes detection. Specifically, the detected FQRS is used as quality unit. Each quality unit can be a true R peak (TR) or a false R peak (FR). It is the basic quality information in this work. The signal quality of each channel is estimated by estimating the correctness of the detection results. Further, the TRs of all channels can be fused to obtain more reliable fetal heart rate monitoring.</p> </sec> <sec><title>Main results</title><p>Analysis results demonstrate that the proposed algorithm is capable of selecting the good quality signal for FQRS detection achieving 97.40% $ PPV $, 98.33% $ SE $ and 97.86% $ F_1 $.</p> </sec> <sec><title>Significance</title><p>This work sheds light on the quality assessment of fetal monitoring signal.</p> </sec> </abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep learning with fetal ECG recognition;Physiological Measurement;2023-11-01

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