Computer ScienceMedicine

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

Ikaro Silva, J. Behar, R. Sameni, T. Zhu, J. Oster, G. Clifford, G. Moody

2013.3.1Computing in Cardiology

tlooto Summary

The PhysioNet/CinC 2013 Challenge aimed to stimulate rapid development and improvement of software for estimating fetal heart rate, fetal interbeat intervals (FRR), and fetal QT intervals (FQT), from multichannel recordings made using electrodes placed on the mother's abdomen.

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, jive 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 of91 open-source software entries. The best of these achieved average estimation errors of 187bpm2 for FHR, 20.9 msfor FRR, and 152.7 ms for FQT. The open data sets, scoring software, and opensource entries are available at PhysioNet for researchers interested on working on these problems.

Citation format

SILVA, Ikaro, et al. Noninvasive fetal ECG: The physionet/computing in cardiology challenge 2013. Computing in Cardiology, 2013, 40: 149–152.