The Long-Term AF Database

This database is described in

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;]; 2000 (June 13).

In addition, when referencing the atr annotations of this database, please acknowledge their creators (MEDICALgorithmics Ltd, Warsaw, Poland; efforts coordinated by Michal Tadeusiak).

[ sample recording ]

This database includes 84 long-term ECG recordings of subjects with paroxysmal or sustained atrial fibrillation (AF). Each record contains two simultaneously recorded ECG signals digitized at 128 Hz with 12-bit resolution over a 20 mV range; record durations vary but are typically 24 to 25 hours.

Two sets of annotations are available here:

The AF Termination Challenge Database consists of 80 one-minute excerpts of a subset of these records (those numbered 00 through 75). As a guide to selecting the excerpts, “T” were inserted manually in the qrs annotation files of this subset of the records, to mark spontaneous terminations of AF episodes with durations of at least one minute.

The original recordings were collected and contributed to PhysioNet by Steven Swiryn and his colleagues at Northwestern University. They were digitized and automatically annotated at Boston’s Beth Israel Deaconess Medical Center. Steven Swiryn and George Moody annotated the AF terminations.

The atr annotations were developed on PhysioNetWorks and contributed to PhysioNet by MEDICALgorithmics Ltd (Warsaw, Poland). The recordings have been automatically annotated using MEDICALgorithmics’ PocketECG system algorithm (FDA 510(k): K112921) and manually verified by an experienced team of MEDICALgorithmics' ECG technicians. The reference annotation development project was coordinated by Michal Tadeusiak.

Thanks to Mariano Llamedo Soria for reporting an error in the original version of 20.hea, and for providing a correction incorporated in the current version.

Further reading

Segments from this database were used in: