Database Open Access

PTB Diagnostic ECG Database

Ralf-Dieter Bousseljot

Published: Sept. 25, 2004. Version: 1.0.0


When using this resource, please cite the original publication:

Bousseljot R, Kreiseler D, Schnabel, A. Nutzung der EKG-Signaldatenbank CARDIODAT der PTB über das Internet. Biomedizinische Technik, Band 40, Ergänzungsband 1 (1995) S 317

Please include the standard citation for PhysioNet: (show more options)
Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.

Data Description

The ECGs in this collection were obtained using a non-commercial, PTB prototype recorder with the following specifications:

  • 16 input channels, (14 for ECGs, 1 for respiration, 1 for line voltage)
  • Input voltage: ±16 mV, compensated offset voltage up to ± 300 mV
  • Input resistance: 100 Ω (DC)
  • Resolution: 16 bit with 0.5 μV/LSB (2000 A/D units per mV)
  • Bandwidth: 0 - 1 kHz (synchronous sampling of all channels)
  • Noise voltage: max. 10 μV (pp), respectively 3 μV (RMS) with input short circuit
  • Online recording of skin resistance
  • Noise level recording during signal collection

The database contains 549 records from 290 subjects (aged 17 to 87, mean 57.2; 209 men, mean age 55.5, and 81 women, mean age 61.6; ages were not recorded for 1 female and 14 male subjects). Each subject is represented by one to five records. There are no subjects numbered 124, 132, 134, or 161. Each record includes 15 simultaneously measured signals: the conventional 12 leads (i, ii, iii, avr, avl, avf, v1, v2, v3, v4, v5, v6) together with the 3 Frank lead ECGs (vx, vy, vz). Each signal is digitized at 1000 samples per second, with 16 bit resolution over a range of ± 16.384 mV. On special request to the contributors of the database, recordings may be available at sampling rates up to 10 KHz.

Within the header (.hea) file of most of these ECG records is a detailed clinical summary, including age, gender, diagnosis, and where applicable, data on medical history, medication and interventions, coronary artery pathology, ventriculography, echocardiography, and hemodynamics. The clinical summary is not available for 22 subjects. The diagnostic classes of the remaining 268 subjects are summarized below:

Diagnostic class Number of subjects
Myocardial infarction 148
Cardiomyopathy/Heart failure 18
Bundle branch block 15
Dysrhythmia 14
Myocardial hypertrophy 7
Valvular heart disease 6
Myocarditis 4
Miscellaneous 4
Healthy controls 52

Contributors

Physikalisch-Technische Bundesanstalt (PTB), the National Metrology Institute of Germany, has provided this compilation of digitized ECGs for research, algorithmic benchmarking or teaching purposes to the users of PhysioNet. The ECGs were collected from healthy volunteers and patients with different heart diseases by Professor Michael Oeff, M.D., at the Department of Cardiology of University Clinic Benjamin Franklin in Berlin, Germany. His current address is:

Department of Cardiology
Klinikum Brandenburg
14770 Brandenburg, Germany

The database was prepared for PhysioNet by:

Hans Koch, Prof., Ph.D (email: Hans.Koch@ptb.de)
Ralf Bousseljot, Dr. Ing.
Dieter Kreiseler, Dr. Ing.
Physikalisch-Technische Bundesanstalt, Abbestrasse 2-12, 10587 Berlin, Germany

and by

Lothar Schmitz, M.D.
Charité Medical Center, Campus Virchow-Klinikum
and German Heart Institute, Augustenburger Platz 1, 13353 Berlin, Germany

References

Bousseljot, R.; Kreiseler, D.; Schnabel, A. Nutzung der EKG-Signaldatenbank CARDIODAT der PTB über das Internet. Biomedizinische Technik, Band 40, Ergänzungsband 1 (1995) S 317

Kreiseler, D.; Bousseljot, R. Automatisierte EKG-Auswertung mit Hilfe der EKG-Signaldatenbank CARDIODAT der PTB. Biomedizinische Technik, Band 40, Ergänzungsband 1 (1995) S 319

Comments on the experience with this dataset from the users of this service would be highly appreciated; in particular, a preprint of any publication relying on some of these ECGs would be very welcome.


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Open Data Commons Attribution License v1.0

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Total uncompressed size: 1.7 GB.

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s0100lre.dat (download) 2.6 MB 2004-08-03
s0100lre.hea (download) 2.6 KB 2016-03-22
s0100lre.xyz (download) 675 KB 2004-08-03
s0104lre.dat (download) 2.6 MB 2004-08-03
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s0127lre.dat (download) 2.6 MB 2004-08-03
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s0127lre.xyz (download) 675 KB 2004-08-03