This database holds the records used in the PhysioNet/CinC Challenge 2013. See the page for more details.
Please cite the standard citation for PhysioNet when referencing this mat erial:
Data for the 2013 challenge consist of a collection of one-minute fetal ECG recordings. Each recording includes four noninvasive abdominal signals as illustrated below (Figure 1). The data were obtained from multiple sources using a variety of instrumentation with differing frequency response, resolution, and configuration, although in all cases they are presented as 1000 samples per signal per second.
Figure 1. Four simultaneous noninvasive fetal ECG signals, acquired using electrodes placed on the mother's abdomen, containing both the fetal and the maternal ECGs. The maternal QRS complexes (not marked) are larger than the fetal QRS complexes (marked in blue). The figure is interactive; click on the large blue circle to remove and restore the marker bars. Click on the Help tab for information about other options.
In each case, reference annotations marking the locations of each fetal QRS complex were produced, usually with reference to a direct FECG signal, acquired from a fetal scalp electrode. The direct signals are not included in the challenge data sets, however.
As in recent challenges, the data have been divided into three sets:
- Learning (training) set A: includes noninvasive fetal ECG signals, as well as the reference annotations for them (for participants' use only; not used to score or rank challenge entries)
- Open test set B: noninvasive signals only (reference annotations withheld; for evaluation of challenge entries in events 4, 5, and 6)
- Hidden test set C: unpublished records (reserved for evaluation of open-source challenge entries in events 1, 2, and 3)
Note that the training data set (set A) does not include examples of all of the sources included in the test sets. It will be necessary to design methods for addressing the challenge that are sufficiently flexible to work with data that have recording characteristics that are similar, but not identical, to those in the training set. This feature of the challenge data is intended to encourage participants to develop approaches that are compatible with the variety of devices and signals encountered in clinical practice, and to allow us to assess how successfully participants have been able to accomplish this goal.
Explore training set A and test set B using LightWAVE, our new waveform and annotation viewer. Sets A and B are also available for downloading via links in the directory listing below.
- set-a.tar.gz (initial set of 25 set A records), set-a-ext.tar.gz (supplementary set of 50 more set A records), and set-b.tar.gz (test set B, 100 records): tarballs containing records in PhysioBank-compatible format, for use with open-source WFDB software from PhysioNet
- set-a-text.tar.gz (initial set of 25 set A records), set-a-ext-text.tar.gz (supplementary set of 50 more set A records), and set-b-text.tar.gz (test set B, 100 records): tarballs containing records in text CSV format
These files are also available as zip archives (set-a.zip, set-a-text.zip, set-a-ext.zip, set-a-ext-text.zip, set-b.zip, and set-b-text.zip). The PhysioBank-compatible files are available individually within the set-a and set-b directories. All five versions contain the same data.
Reference QT interval measurements are in preparation; those for records in set A will be made available to participants when they are complete.
The challenge is to produce a set of annotations and a QT interval measurement that matches the hidden references as nearly as possible, for each record in set B or C.
Name Last modified Size Description
Parent Directory - DOI 2015-09-21 19:00 20 HEADER.shtml 2016-04-05 21:29 5.3K local.css 2015-10-28 23:00 3.1K set-a/ 2013-04-03 00:09 - set-b/ 2013-04-03 00:09 -
If you would like help understanding, using, or downloading content, please see our Frequently Asked Questions.
If you have any comments, feedback, or particular questions regarding this page, please send them to the webmaster.
Comments and issues can also be raised on PhysioNet's GitHub page.
Updated Friday, 28 October 2016 at 22:58 CEST