Name: PTB Diagnostic ECG Database
Published: Sept. 25, 2004
License: https://opendatacommons.org/licenses/by/index.html

Database Open Access

Ralf-Dieter Bousseljot

Published: Sept. 25, 2004. Version: 1.0.0

PTB Diagnostic ECG Database (Sept. 25, 2004, midnight)

New in PhysioBank is the PTB Diagnostic ECG Database, a collection of 549 high-resolution 15-lead ECGs (12 standard leads together with Frank XYZ leads), including clinical summaries for each record. From one to five ECG records are available for each of the 294 subjects, who include healthy subjects as well as patients with a variety of heart diseases.

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.

APA	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.
MLA	Goldberger, A., et al. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220." (2000).
CHICAGO	Goldberger, A., L. Amaral, L. Glass, J. Hausdorff, P. C. Ivanov, R. Mark, J. E. Mietus, G. B. Moody, C. K. Peng, and H. E. Stanley. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220." (2000).
HARVARD	Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P.C., Mark, R., Mietus, J.E., Moody, G.B., Peng, C.K. and 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.
VANCOUVER	Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov PC, Mark R, Mietus JE, Moody GB, Peng CK, Stanley HE. 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.

Access

Access Policy:
Anyone can access the files, as long as they conform to the terms of the specified license.

License (for files):
Open Data Commons Attribution License v1.0

Discovery

DOI (version 1.0.0):
https://doi.org/10.13026/C28C71

Topics:
ecg

Corresponding Author

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Files

Total uncompressed size: 1.7 GB.

Access the files

Download the ZIP file (1.7 GB)
Access the files using the Google Cloud Storage Browser here. Login with a Google account is required.
Access the data using the Google Cloud command line tools (please refer to the gsutil documentation for guidance):
```
gsutil -m -u YOUR_PROJECT_ID cp -r gs://ptbdb-1.0.0.physionet.org DESTINATION
```

Download the files using your terminal:

wget -r -N -c -np https://physionet.org/files/ptbdb/1.0.0/

Download the files using AWS command line tools:

aws s3 sync --no-sign-request s3://physionet-open/ptbdb/1.0.0/ DESTINATION

Visualize waveforms

Folder Navigation:

Name	Size	Modified
Parent Directory
s0310lre.dat (download)	2.6 MB	2004-08-03
s0310lre.hea (download)	2.2 KB	2016-03-22
s0310lre.xyz (download)	675 KB	2004-08-03

PTB Diagnostic ECG Database

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