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This database is described in
Albrecht P.
S-T segment characterization for long-term automated ECG analysis.
M.S. thesis, MIT Dept. of Electrical Engineering and Computer Science, 1983.
Please cite this publication when referencing this material, and also include the standard citation for PhysioNet:
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;
http://circ.ahajournals.org/content/101/23/e215.full];
2000 (June 13).
This database includes 28 ECG recordings of varying lengths, most of which were recorded during exercise stress tests and which exhibit transient ST depression. The last five records (323 through 327) are excerpts of long-term ECG recordings and exhibit ST elevation.
Note that the annotation files contain only beat labels; they do not include ST change annotations, as in the European ST-T Database.