Published: March 3, 2003. Version: 1.0.0
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.
This database includes beat annotation files for 29 long-term ECG recordings of subjects aged 34 to 79, with congestive heart failure (NYHA classes I, II, and III). Subjects included 8 men and 2 women; gender is not known for the remaining 21 subjects. The original ECG recordings (not available) were digitized at 128 samples per second, and the beat annotations were obtained by automated analysis with manual review and correction.
For additional data of this type, including digitized ECG signals, see the BIDMC Congestive Heart Failure Database.
We thank Rochelle Goldsmith, of Columbia-Presbyterian Medical Center, New York, for her generous contribution of these data to PhysioNet.
The following studies have made use of these data: