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利用计算机算法测量胎儿心电图的心脏时间间期:一项回顾性观察研究。

Measurement of the cardiac time intervals of the fetal ECG utilising a computerised algorithm: A retrospective observational study.

作者信息

Chivers S C, Vasavan T, Nandi M, Hayes-Gill B R, Jayawardane I A, Simpson J M, Williamson C, Fifer W P, Lucchini M

机构信息

Department of Women and Children's Health, King's College London, London, UK.

Department of Fetal cardiology, Evelina London Children's Hospital, London, UK.

出版信息

JRSM Cardiovasc Dis. 2022 May 11;11:20480040221096209. doi: 10.1177/20480040221096209. eCollection 2022 Jan-Dec.

DOI:10.1177/20480040221096209
PMID:35574238
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9102181/
Abstract

OBJECTIVE

Establish whether the reliable measurement of cardiac time intervals of the fetal ECG can be automated and to address whether this approach could be used to investigate large datasets.

DESIGN

Retrospective observational study.

SETTING

Teaching hospitals in London UK, Nottingham UK and New York USA.

PARTICIPANTS

Singleton pregnancies with no known fetal abnormality.

METHODS

Archived fetal ECG's performed using the MonicaAN24 monitor. A single ECG (PQRST) complex was generated from 5000 signal-averaged beats and electrical cardiac time intervals measured in an automated way and manually.

MAIN OUTCOME MEASURE

Validation of a newly developed algorithm to measure the cardiac time intervals of the fetal ECG.

RESULTS

188/236 (79.7%) subjects with fECGs of suitable signal:noise ratio were included for analysis comparing manual with automated measurement. PR interval was measured in 173/188 (92%), QRS complex in 170/188 (90%) and QT interval in 123/188 (65.4%). PR interval was 107.6 (12.07) ms [mean(SD)] manual vs 109.11 (14.7) ms algorithm. QRS duration was 54.72(6.35) ms manual vs 58.34(5.73) ms algorithm. QT-interval was 268.93 (21.59) ms manual vs 261.63 (36.16) ms algorithm. QTc was 407.5(32.71) ms manual vs 396.4 (54.78) ms algorithm. The QRS-duration increased with gestational age in both manual and algorithm measurements.

CONCLUSION

Accurate measurement of fetal ECG cardiac time intervals can be automated with potential application to interpretation of larger datasets.

摘要

目的

确定胎儿心电图心脏时间间期的可靠测量能否自动化,并探讨这种方法是否可用于研究大型数据集。

设计

回顾性观察研究。

地点

英国伦敦、英国诺丁汉和美国纽约的教学医院。

参与者

无已知胎儿异常的单胎妊娠。

方法

使用Monica AN24监护仪进行存档的胎儿心电图检查。从5000次信号平均搏动中生成单个心电图(PQRST)复合波,并以自动和手动方式测量心脏电时间间期。

主要观察指标

验证一种新开发的测量胎儿心电图心脏时间间期的算法。

结果

188/236(79.7%)信号噪声比合适的胎儿心电图受试者纳入分析,比较手动测量与自动测量。173/188(92%)测量了PR间期,170/188(90%)测量了QRS复合波,123/188(65.4%)测量了QT间期。PR间期手动测量为107.6(12.07)毫秒[均值(标准差)],算法测量为109.11(14.7)毫秒。QRS时限手动测量为54.72(6.35)毫秒,算法测量为58.34(5.73)毫秒。QT间期手动测量为268.93(21.59)毫秒,算法测量为261.63(36.16)毫秒。QTc手动测量为407.5(32.71)毫秒,算法测量为396.4(54.78)毫秒。在手动和算法测量中,QRS时限均随孕周增加。

结论

胎儿心电图心脏时间间期的准确测量可以自动化,有可能应用于更大数据集的解读。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/bb6d5fa4a7ad/10.1177_20480040221096209-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/656ebd6bc2cf/10.1177_20480040221096209-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/8ca7a25dfce3/10.1177_20480040221096209-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/f62540593ff0/10.1177_20480040221096209-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/bcac3634a6fb/10.1177_20480040221096209-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/bf3a77a62a68/10.1177_20480040221096209-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/bb6d5fa4a7ad/10.1177_20480040221096209-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/656ebd6bc2cf/10.1177_20480040221096209-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/8ca7a25dfce3/10.1177_20480040221096209-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/f62540593ff0/10.1177_20480040221096209-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/bcac3634a6fb/10.1177_20480040221096209-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/bf3a77a62a68/10.1177_20480040221096209-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a5c/9102181/bb6d5fa4a7ad/10.1177_20480040221096209-fig6.jpg

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