Evaluation of The Fetal Heart Rate Monitoring with The Non-Invasive Electrocardiography Signals.

Chuyen Luong, Hoan Pham, Rashvin Kaur, Amrish Nair
{"title":"Evaluation of The Fetal Heart Rate Monitoring with The Non-Invasive Electrocardiography Signals.","authors":"Chuyen Luong, Hoan Pham, Rashvin Kaur, Amrish Nair","doi":"10.1109/EMBC40787.2023.10340465","DOIUrl":null,"url":null,"abstract":"<p><p>Fetal heart rate monitoring is a crucial element in determining the health of the fetus during pregnancy. In this paper, we evaluate the fetal heart rate (FHR) and maternal heart rate (MHR) between our non-invasive fetal monitoring system, Femom, developed by a Biorithm and the Huntleigh computerized cardiotocography (cCTG) together with the Sonicaid FetalCare3 software by comparing the accuracy, sensitivity, and reliability through using Bland-Altman analysis, Positive Percent Agreement (PPA) and Intraclass Correlation Coefficient (ICC) respectively. Femom device is a part of the Femom system which collects abdominal electrocardiogram (aECG) signals. Femom sever then processes the collected signals to generate FHR and MHR using novel algorithms. We collected data from 285 pregnant participants who were at least of 28 weeks of gestational age. FHR accuracy consists of mean bias and limit-of-agreement (LoA). The FHR bias is 0.05 beat per minute (BPM) and LoA is [-8.7 8.8] with 95% confidence interval (95% CI) measured using Bland Altman analysis. The PPA of 90.9% reflects FHR sensitivity. Reliability is measured with absolute ICC and consistency ICC. The absolute ICC is of 88% and consistency ICC of 94%. For MHR evaluation, accuracy is measured using Bland Altman analysis which provided a bias of 0.35 BPM and LoA of [-7 6.2] with 95% CI. The MHR sensitivity calculated using PPA is 98% while the MHR reliability is with the absolute value of 99% and consistency ICC of 99%.</p>","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2023 ","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMBC40787.2023.10340465","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Fetal heart rate monitoring is a crucial element in determining the health of the fetus during pregnancy. In this paper, we evaluate the fetal heart rate (FHR) and maternal heart rate (MHR) between our non-invasive fetal monitoring system, Femom, developed by a Biorithm and the Huntleigh computerized cardiotocography (cCTG) together with the Sonicaid FetalCare3 software by comparing the accuracy, sensitivity, and reliability through using Bland-Altman analysis, Positive Percent Agreement (PPA) and Intraclass Correlation Coefficient (ICC) respectively. Femom device is a part of the Femom system which collects abdominal electrocardiogram (aECG) signals. Femom sever then processes the collected signals to generate FHR and MHR using novel algorithms. We collected data from 285 pregnant participants who were at least of 28 weeks of gestational age. FHR accuracy consists of mean bias and limit-of-agreement (LoA). The FHR bias is 0.05 beat per minute (BPM) and LoA is [-8.7 8.8] with 95% confidence interval (95% CI) measured using Bland Altman analysis. The PPA of 90.9% reflects FHR sensitivity. Reliability is measured with absolute ICC and consistency ICC. The absolute ICC is of 88% and consistency ICC of 94%. For MHR evaluation, accuracy is measured using Bland Altman analysis which provided a bias of 0.35 BPM and LoA of [-7 6.2] with 95% CI. The MHR sensitivity calculated using PPA is 98% while the MHR reliability is with the absolute value of 99% and consistency ICC of 99%.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用非侵入性心电图信号对胎儿心率监测的评估
胎儿心率监测是确定孕期胎儿健康状况的关键因素。在本文中,我们通过使用Bland-Altman分析、正百分比协议(PPA)和类内相关系数(ICC),分别比较了由Biorithm开发的无创胎儿监护系统Femom与Huntleigh计算机化心动图(cCTG)和Sonicaid FetalCare3软件之间的准确性、灵敏度和可靠性,从而评估了胎儿心率(FHR)和母体心率(MHR)。Femom 设备是 Femom 系统的一部分,用于收集腹部心电图(aECG)信号。然后,Femom sever 采用新颖的算法处理收集到的信号,生成 FHR 和 MHR。我们收集了 285 名孕龄至少为 28 周的孕妇的数据。FHR 的准确性包括平均偏差和一致性限值(LoA)。FHR 偏差为每分钟 0.05 次(BPM),LoA 为[-8.7 8.8],95% 置信区间(95% CI)采用布兰德-阿尔特曼分析法测量。PPA 为 90.9%,反映了 FHR 的灵敏度。可靠性通过绝对 ICC 和一致性 ICC 进行测量。绝对 ICC 为 88%,一致性 ICC 为 94%。对于 MHR 评估,准确性采用 Bland Altman 分析进行测量,其偏差为 0.35 BPM,LoA 为[-7 6.2],95% CI。使用 PPA 计算的 MHR 灵敏度为 98%,而 MHR 可靠性的绝对值为 99%,一致性 ICC 为 99%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.80
自引率
0.00%
发文量
0
期刊最新文献
An unobtrusive PEP estimation method using hand-to-hand impedance plethysmography. Attenuation in the neural tracking of auditory streams within the first 20 seconds of sound presentation. Attribute-Aware Adversarial Domain Augmentation for Zero-Shot Medical Domain Adaptation. A Novel Approach for Shape Segmentation of Vertebrae: Decomposition into Anatomical Regions Using 3D Skeletonization. A nonparametric copula approach to predict heart rate trajectories from single overnight wearable accelerometry.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1