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基于 R-R 间期的胎儿心率计算系统研究。

A study of a fetal heart rate calculation system based on R-R interval.

机构信息

College of Life Science and Bioengineering, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, 100024, China.

Beijing Aerospace ChangFeng Co. Ltd., Beijing, 100071, China.

出版信息

Technol Health Care. 2020;28(S1):187-195. doi: 10.3233/THC-209019.

Abstract

BACKGROUND

Fetal electrocardiogram (FECG) can be obtained in a non-invasive manner to monitor fetal growth status.

OBJECTIVE

In this study, a fetal heart rate (FHR) calculation system was proposed, which consists of the FECG recorder (MF-HOLTER) and the FECG monitoring software (FECG-MS). The abdomen electrocardiogram (AECG) of pregnant woman is acquired through the MF-HOLTER. The FECG-MS packs the AECG data and calls the FECG separation algorithm to obtain the separated FECG and the fetal QRS (FQRS) position. The FHR is further obtained by calculating the R-R interval value. At the same time, this study proposed a FQRS position correction algorithm to calculate the correct FHR values.

METHOD

In order to verify the accuracy of the FHR calculation, the ECG signal of FLUKE's PS320 FETAL SIMULATOR and clinical data were simultaneously tested.

RESULTS

The accuracy rate is over 98% in processing the simulator's data. In processing clinical data, the FHR values obtained by both the system proposed in this study and Monica AN24 are very close, and the difference is less than 1 bpm.

CONCLUSION

The results show that the FHR calculation system is accurate and stable, and has a positive application value and prospect.

摘要

背景

可以通过非侵入式的方式获取胎儿心电图(FECG),以监测胎儿的生长状况。

目的

本研究提出了一种胎儿心率(FHR)计算系统,该系统由 FECG 记录器(MF-HOLTER)和 FECG 监测软件(FECG-MS)组成。MF-HOLTER 采集孕妇腹部心电图(AECG)。FECG-MS 打包 AECG 数据并调用 FECG 分离算法,获取分离的 FECG 和胎儿 QRS(FQRS)位置。进一步通过计算 R-R 间隔值来获得 FHR。同时,本研究提出了一种 FQRS 位置校正算法,以计算正确的 FHR 值。

方法

为了验证 FHR 计算的准确性,同时测试了 FLUKE 的 PS320 FETAL SIMULATOR 的 ECG 信号和临床数据。

结果

在处理模拟器数据方面,准确率超过 98%。在处理临床数据时,本研究提出的系统和 Monica AN24 获得的 FHR 值非常接近,差值小于 1 bpm。

结论

结果表明,FHR 计算系统准确稳定,具有积极的应用价值和前景。

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