The Long-Term ST Database: A Research Resource for Algorithm
Development and Physiologic Studies of Transient Myocardial Ischemia
F Jager, A Taddei, M Emdin, G Antolic, R Dorn,
GB Moody, B Glavic, A Smrdel,
C Marchesi, RG Mark
Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia
Harvard-M.I.T. Division of Health Sciences and Technology, Cambridge, MA, USA
CNR Institute of Clinical Physiology, Pisa, Italy
Department of Cardiology, University Medical Center, Ljubljana, Slovenia
Cardiology Division, Beth Israel Deaconess Medical Center, Boston, MA, USA
| This article originally
appeared in Computers in Cardiology 2000, vol. 27
(Piscataway, NJ: IEEE Computer Society Press). Please cite this
publication when referencing this material. This HTML version
incorporates minor revisions for publication on PhysioNet. |
We present the Long Term ST Database, a collection of eighty 24-hour two and three
lead ECG records from ambulatory subjects with transient ST segment abnormalities.
The database provides a comprehensive standard research resource for quantitatively
assessing the performance of automated detectors of transient ischemia, and for
supporting basic research into the mechanisms and dynamics of transient ischemia.
Records of the database contain annotated significant transient ischemic ST episodes,
non-ischemic ST episodes caused by heart-rate related changes, non-ischemic ST events
due to axis shifts or QRS conduction changes, and individual QRS and
rhythm annotations, all made by human experts.
Samples of the Long-Term ST Database are available here.