This database holds the records used in the PhysioNet/CinC Challenge 2011. See the page for more details.
Please cite the standard citation for PhysioNet when referencing this material:
These challenge data are standard 12-lead ECG recordings (leads I, II, II, aVR, aVL,aVF, V1, V2, V3, V4, V5, and V6) with full diagnostic bandwidth (0.05 through 100 Hz). The leads are recorded simultaneously for a minimum of 10 seconds; each lead is sampled at 500 Hz with 16-bit resolution.
Nurses, technicians, and volunteers with varying amounts of training recorded the ECGs for this project. In the intended application, the recordists (those making ECG recordings) will not necessarily have had experience. Since the goal of this challenge is to investigate if laypersons can be assisted via software in collecting high-quality ECGs reliably, the recordings gathered for this challenge include ECGs made by volunteers with minimal training.
The data sets are available via links in the directory listing below. To download them efficiently, use rsync as described here (retrieve the challenge-2011 "module").
The data are provided in both CSV format (.txt files), compatible with the Challenge Android API, and in standard PhysioBank (compact binary) formats, readable using the WFDB software package and the PhysioBank ATM (which can convert them to tab-separated text, Matlab, or EDF formats).
For additional information, see the Challenge 2011 home page.
Name Last modified Size Description
Parent Directory -
DOI 2015-09-21 13:00 20
event-1-entry-template.txt 2011-04-20 13:59 4.9K
set-a.tar.gz 2011-07-20 21:39 103M
set-a/ 2015-10-06 12:00 -
set-b.tar.gz 2011-04-20 13:04 51M
set-b/ 2015-10-06 12:00 -
sim.tar.gz 2011-02-16 18:35 5.7M
sim.zip 2011-02-16 18:35 5.6M
sim/ 2012-02-25 03:18 -
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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.
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