PhysioNet/CinC Challenge 2010: Test Sets

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This database holds the records used in the PhysioNet/CinC Challenge 2010. See the page for more details.

Please cite the standard citation for PhysioNet when referencing this material:

Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 [Circulation Electronic Pages;]; 2000 (June 13).

For this challenge, participants are provided with three data sets of 100 records each. Each ten-minute record contains 6, 7, or 8 signals acquired from bedside ICU patient monitors. The recorded signals vary across records, and they include ECG, continuous invasive blood pressure, respiration, fingertip plethysmograms, and occasional other signals. In one of these signals, the final 30-second segment (the target signal) has been replaced by a gap (a flat line signal), and the goal is to reconstruct this missing 30-second target signal in each record.

Records in all three Challenge data sets are provided in standard PhysioBank (compact binary) formats; read them using the WFDB software package, use the PhysioBank ATM to convert them to text, CSV, Matlab, or EDF formats, or see How to obtain PhysioBank data in text form for notes on other methods for converting them to text. The Set A files named with the suffix .missing are the target signals; these files are in text format.

The data sets, together with the target signals for Set A, are available via links in the directory listing below. To download them efficiently, use rsync as described here (retrieve the challenge-2010 "module"). For convenience, a tarball containing the full contents of all three data sets is also provided.

For additional information, see the Challenge 2010 home page.

Icon  Name                            Last modified      Size  Description
[PARENTDIR] Parent Directory - [   ] 2010-data.tar.gz 2013-04-02 18:11 188M [   ] DOI 2015-09-21 13:00 19 [DIR] set-a/ 2015-10-06 12:00 - [DIR] set-b/ 2015-10-06 12:00 - [DIR] set-c/ 2018-11-09 13:23 -

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Updated Friday, 28 October 2016 at 16:58 EDT

PhysioNet is supported by the National Institute of General Medical Sciences (NIGMS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number 2R01GM104987-09.