Normal Sinus Rhythm RR Interval Database

@article{pollard_physionet_2026, title = {{PhysioNet} as a global platform for biomedical research}, volume = {1}, issn = {3005-0693}, url = {https://doi.org/10.1038/s44360-026-00096-z}, doi = {10.1038/s44360-026-00096-z}, abstract = {Twenty-five years after its first public repository was established, the PhysioNet resource for biomedical and clinical data has enabled tens of thousands of research papers. Further efforts are ongoing to advance secure data sharing, community engagement and scalable research infrastructure.}, number = {8}, journal = {Nature Health}, author = {Pollard, Tom and Moody, Benjamin E. and Lehman, Li-wei H. and Gow, Brian J. and Fernandes, Chrystinne and Xie, Chen and Johnson, Alistair and Mark, Roger G. and Heldt, Thomas}, month = aug, year = {2026}, pages = {792--795},}

Introduction

This database includes beat annotation files for 54 long-term ECG recordings of subjects in normal sinus rhythm (30 men, aged 28.5 to 76, and 24 women, aged 58 to 73). 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 MIT-BIH Normal Sinus Rhythm Database.

Contributors

We thank Phyllis Stein, of Washington University School of Medicine, St. Louis; and Rochelle Goldsmith, of Columbia-Presbyterian Medical Center, New York, for their generous contributions of these data to PhysioNet.

References

The following studies have made use of these data:

1. Goldsmith RL, Bigger JT, Steinman RC, et al. Comparison of 24-hour parasympathetic activity in endurance-trained and untrained young men. J Am Coll Cardiol 1992; 20:552-558. [Abstract]
2. Bigger JT, Fleiss LF, Steinman RC, Rolnitzky LM, Schneider WJ, Stein PK. RR variability in healthy, middle-age persons compared with patients with chronic coronary heart disease or recent acute myocardial infarction. Circulation 1995; 91:1936-1943.
3. Stein PK, Ehsani AA, Domitrovich PP, Kleiger RE, Rottman JN. The effect of exercise training on heart rate variability in healthy older adults. Am Heart J 1999; 138:567-576. [Abstract]
4. Mietus JE, Peng C-K, Henry I, Goldsmith RL, Goldberger AL. The pNNx files: re-examining a widely used heart rate variability measure. Heart 2002; 88:378-380.

Cited by

5 publications cite this project. The most recent are listed below.

• Demographic reporting in biosignal datasets: a comprehensive analysis of the PhysioNet open access database
  Sarah Jiang, Perisa Ashar, Md Mobashir Hasan Shandhi et al. The Lancet Digital Health, 2024.
• Revealing alterations in heart rate fluctuations during the progression of Chagas disease
  Magdalena Maria Defeo, Laura Delaplace, Juan Carlos Goin et al. Frontiers in Medicine, 2024.
• Interpretable Machine Learning Techniques in ECG-Based Heart Disease Classification: A Systematic Review
  Yehualashet Megersa Ayano, Friedhelm Schwenker, Bisrat Derebssa Dufera et al. Diagnostics, 2022.
• Burst-tree decomposition of time series reveals the structure of temporal correlations
  Hang-Hyun Jo, Takayuki Hiraoka, Mikko Kivelä. Scientific Reports, 2020.
• Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations
  Davide Morelli, Alessio Rossi, Massimo Cairo et al. Sensors, 2019.

View all 5 publications

Citation data from OpenAlex. Papers that use the project without citing it may be missing.