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  4. PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research

PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research

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Author(s)
Moody, George B.
•
Goldberger, Ary L.
•
Mark, Roger G
Date Issued
August 2011
Journal
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011
Publisher
Institute of Electrical and Electronics Engineers
Citation
Moody, G. B., R. G. Mark, and A. L. Goldberger. “PhysioNet: Physiologic Signals, Time Series and Related Open Source Software for Basic, Clinical, and Applied Research.” in Proceedings of the 33rd Annual International Conference of the IEEE EMBS Boston, Massachusetts USA, August 30 - September 3, 2011, IEEE, 2011. 8327–8330. Web.
Version
Author's final manuscript
Abstract
PhysioNet provides free web access to over 50 collections of recorded physiologic signals and time series, and related open-source software, in support of basic, clinical, and applied research in medicine, physiology, public health, biomedical engineering and computing, and medical instrument design and evaluation. Its three components (PhysioBank, the archive of signals; PhysioToolkit, the software library; and PhysioNetWorks, the virtual laboratory for collaborative development of future PhysioBank data collections and PhysioToolkit software components) connect researchers and students who need physiologic signals and relevant software with researchers who have data and software to share. PhysioNet's annual open engineering challenges stimulate rapid progress on unsolved or poorly solved questions of basic or clinical interest, by focusing attention on achievable solutions that can be evaluated and compared objectively using freely available reference data.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
http://creativecommons.org/licenses/by-nc-sa/3.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/76352
DOI of Published Version
https://doi.org/10.1109/IEMBS.2011.6092053
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