The PTB-XL+ dataset is a comprehensive feature dataset that supplements the PTB-XL ECG dataset. It includes ECG features extracted via two commercial and one open-source algorithm in a harmonized format as well as median beats or, where applicable, fiducial points extracted by the respective algorithms. In addition, it provides automatic diagnosis statements from one commercial ECG analysis algorithm at different processing levels that are ready to be used for training and evaluation of machine learning models.
When using this resource, please cite:
Strodthoff, N., Mehari, T., Nagel, C., Aston, P., Sundar, A., Graff, C., Kanters, J., Haverkamp, W., Doessel, O., Loewe, A., Bär, M., & Schaeffter, T. (2023). PTB-XL+, a comprehensive electrocardiographic feature dataset (version 1.0.1). PhysioNet. https://doi.org/10.13026/g6h6-7g88.
Additionally, please cite the original publication:
Strodthoff, N., Mehari, T., Nagel, C. et al. (2023). PTB-XL+, a comprehensive electrocardiographic feature dataset. Sci Data 10, 279.
Please include the standard citation for PhysioNet:
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.
Date made available | 27 Jun 2023 |
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Publisher | PhysioNet |
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