Fantasia 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},}

Abstract

Twenty young (21 - 34 years old) and twenty elderly (68 - 85 years old) rigorously-screened healthy subjects underwent 120 minutes of continuous supine resting while continuous electrocardiographic (ECG), and respiration signals were collected; in half of each group, the recordings also include an uncalibrated continuous non-invasive blood pressure signal. Each subgroup of subjects includes equal numbers of men and women.

Data Description

All subjects remained in a resting state in sinus rhythm while watching the movie Fantasia (Disney, 1940) to help maintain wakefulness. The continuous ECG, respiration, and (where available) blood pressure signals were digitized at 250 Hz. Each heartbeat was annotated using an automated arrhythmia detection algorithm, and each beat annotation was verified by visual inspection.

Records f1y01, f1y02, ... f1y10 and f2y01, f2y02, ... f2y10) were obtained from the young cohort, and records f1o01, f1o02, ... f1o10 and f2o01, f2o02, ... f2o10) were obtained from the elderly cohort. Each group of subjects includes equal numbers of men and women. Each record includes ECG (with beat annotations) and respiration, and half of those in each group (the f2* records) include a blood pressure waveform, as noted above.

The beat annotations for a subset of these recordings were previously available in a different format; these are still available here.

Cited by

1 publication cites this project. The most recent are listed below.

• Joint ECG–EMG–EEG signal compression and reconstruction with incremental multimodal autoencoder approach
  Evangelin Dasan, Rajakumar Gnanaraj. Circuits Systems and Signal Processing, 2022.

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