This database is described in
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 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).
![[PTB logo]](ptb.png) |
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 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 |
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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CONTROLS 24-Apr-2006 22:25 1.6K
DOI 21-Sep-2015 19:00 19
MD5SUMS 22-Mar-2016 20:25 395
SHA1SUMS 22-Mar-2016 20:25 467
SHA256SUMS 22-Mar-2016 20:25 683
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