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无创胎儿心电图:2013年生理网络/心脏病学计算挑战赛

Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013.

作者信息

Silva Ikaro, Behar Joachim, Sameni Reza, Zhu Tingting, Oster Julien, Clifford Gari D, Moody George B

机构信息

Massachusetts Institute of Technology, Cambridge, MA, USA.

Dept. of Engineering Science, University of Oxford, UK.

出版信息

Comput Cardiol (2010). 2013 Mar;40:149-152.

PMID:25401167
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4230703/
Abstract

The PhysioNet/CinC 2013 Challenge aimed to stimulate rapid development and improvement of software for estimating fetal heart rate (FHR), fetal interbeat intervals (FRR), and fetal QT intervals (FQT), from multichannel recordings made using electrodes placed on the mother's abdomen. For the challenge, five data collections from a variety of sources were used to compile a large standardized database, which was divided into training, open test, and hidden test subsets. Gold-standard fetal QRS and QT interval annotations were developed using a novel crowd-sourcing framework. The challenge organizers used the hidden test subset to evaluate 91 open-source software entries submitted by 53 international teams of participants in three challenge events, estimating FHR, FRR, and FQT using the hidden test subset, which was not available for study by participants. Two additional events required only user-submitted QRS annotations to evaluate FHR and FRR estimation accuracy using the open test subset available to participants. The challenge yielded a total of 91 open-source software entries. The best of these achieved average estimation errors of 187bpm for FHR, 20.9 ms for FRR, and 152.7 ms for FQT. The open data sets, scoring software, and open-source entries are available at PhysioNet for researchers interested on working on these problems.

摘要

2013年生理网/计算机在心脏病学中的应用挑战赛旨在推动用于从放置在母亲腹部的电极所记录的多通道数据中估算胎儿心率(FHR)、胎儿心跳间期(FRR)和胎儿QT间期(FQT)的软件的快速开发与改进。对于此次挑战赛,使用了来自各种来源的五个数据集来汇编一个大型标准化数据库,该数据库被分为训练集、公开测试集和隐藏测试集。使用一种新颖的众包框架开发了金标准胎儿QRS和QT间期注释。挑战赛组织者使用隐藏测试集来评估53个国际参赛团队在三项挑战赛中提交的91个开源软件条目,参赛团队使用隐藏测试集(参与者无法获取该测试集用于研究)来估算FHR、FRR和FQT。另外两项赛事仅要求用户提交QRS注释,以使用参与者可获取的公开测试集来评估FHR和FRR估算的准确性。此次挑战赛共产生了91个开源软件条目。其中最佳条目对FHR的平均估算误差为187bpm,对FRR的平均估算误差为20.9毫秒,对FQT的平均估算误差为152.7毫秒。感兴趣的研究人员可在生理网获取开放数据集、评分软件和开源条目,以便研究这些问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329f/4230703/c30e80e9af8f/nihms582730f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329f/4230703/b076a83a54e2/nihms582730f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329f/4230703/c30e80e9af8f/nihms582730f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329f/4230703/b076a83a54e2/nihms582730f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329f/4230703/c30e80e9af8f/nihms582730f2.jpg

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Physiol Meas. 2014 Aug;35(8):1713-21. doi: 10.1088/0967-3334/35/8/1713. Epub 2014 Jul 29.
2
Noninvasive fetal QRS detection using an echo state network and dynamic programming.使用回声状态网络和动态规划的无创胎儿QRS检测
Physiol Meas. 2014 Aug;35(8):1685-97. doi: 10.1088/0967-3334/35/7/1685. Epub 2014 Jul 29.
3
The influence of coincidence of fetal and maternal QRS complexes on fetal heart rate reliability.
摇篮曲:一种利用周期性趋势特征实时提取胎儿QRS波的新算法。
IEEE Sens Lett. 2022 Sep;6(9). doi: 10.1109/lsens.2022.3200072. Epub 2022 Aug 19.
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An open-source framework for synthetic post-dive Doppler ultrasound audio generation.用于合成潜水后多普勒超声音频生成的开源框架。
PLoS One. 2023 Apr 27;18(4):e0284922. doi: 10.1371/journal.pone.0284922. eCollection 2023.
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Automatic signal quality assessment of raw trans-abdominal biopotential recordings for non-invasive fetal electrocardiography.用于无创胎儿心电图的经腹生物电位原始记录的自动信号质量评估
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