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dc.contributor.authorMoody, George B.
dc.contributor.authorGoldberger, Ary L.
dc.contributor.authorMark, Roger G
dc.date.accessioned2013-01-23T17:18:52Z
dc.date.available2013-01-23T17:18:52Z
dc.date.issued2011-08
dc.identifier.isbn1424441226
dc.identifier.isbn9781424441228
dc.identifier.issn1558-4615
dc.identifier.issn1094-687X
dc.identifier.urihttp://hdl.handle.net/1721.1/76352
dc.description.abstractPhysioNet 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.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIH cooperative agreement U01-EB-008577)en_US
dc.description.sponsorshipNational Institute of General Medical Sciences (U.S.)en_US
dc.description.sponsorshipNational Institute of Biomedical Imaging and Bioengineering (U.S.)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/IEMBS.2011.6092053en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMark via Courtney Crummetten_US
dc.titlePhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied researchen_US
dc.typeArticleen_US
dc.identifier.citationMoody, 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.approverMark, Roger Greenwood
dc.contributor.mitauthorMoody, George B.
dc.contributor.mitauthorMark, Roger Greenwood
dc.relation.journalProceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsMoody, G. B.; Mark, R. G.; Goldberger, A. L.en
dc.identifier.orcidhttps://orcid.org/0000-0002-6318-2978
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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