Long-Term ST (86 records)
The Long-Term ST Database contains 86 lengthy ECG recordings of 80 human subjects, chosen to exhibit a variety of events of ST segment changes, including ischemic ST episodes, axis-related non-ischemic ST episodes, episodes of slow ST level drift, and episodes containing mixtures of these phenomena. The database was created to support development and evaluation of algorithms capable of accurate differentiation of ischemic and non-ischemic ST events, as well as basic research into mechanisms and dynamics of myocardial ischemia. more...
Each of the 86 records is 21 to 24 hours long, and contains 2 or 3 ECG signals, annotated beat-by-beat and with respect to ST episodes, rhythm changes, and signal quality changes; each record also includes ST level time series based on 16-second averages centered on each beat.
For more information:
- http://www.physionet.org/physiobank/database/ltstdb/
- Franc Jager, Alessandro Taddei, George B. Moody, Michele Emdin, Gorazd Antolic, Roman Dorn, Ales Smrdel, Carlo Marchesi, and Roger G. Mark. Long-term ST database: a reference for the development and evaluation of automated ischaemia detectors and for the study of the dynamics of myocardial ischaemia. Medical & Biological Engineering & Computing 41(2):172-183 (2003). [HTML] [PDF]
- 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/cgi/content/full/101/23/e215]; 2000 (June 13).
This database has 86 records
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- Record s30752
Age:
79Sex:
Male
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- Record s30761
Age:
72Sex:
Female
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- Record s30771
Age:
75Sex:
Female
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- Record s30781
Age:
84Sex:
Female
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- Record s30791
Age:
74Sex:
Male
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- Record s30801
Age:
59Sex:
Male