PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research
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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2013
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| Online Access: | http://hdl.handle.net/1721.1/76352 https://orcid.org/0000-0002-6318-2978 |
| _version_ | 1811092914222137344 |
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| author | Moody, George B. Goldberger, Ary L. Mark, Roger G |
| author2 | Massachusetts Institute of Technology. Institute for Medical Engineering & Science |
| author_facet | Massachusetts Institute of Technology. Institute for Medical Engineering & Science Moody, George B. Goldberger, Ary L. Mark, Roger G |
| author_sort | Moody, George B. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T15:34:39Z |
| format | Article |
| id | mit-1721.1/76352 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:34:39Z |
| publishDate | 2013 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/763522022-09-29T14:54:55Z PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research Moody, George B. Goldberger, Ary L. Mark, Roger G 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 Mark, Roger Greenwood Moody, George B. Mark, Roger Greenwood 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. National Institutes of Health (U.S.) (NIH cooperative agreement U01-EB-008577) National Institute of General Medical Sciences (U.S.) National Institute of Biomedical Imaging and Bioengineering (U.S.) 2013-01-23T17:18:52Z 2013-01-23T17:18:52Z 2011-08 Article http://purl.org/eprint/type/ConferencePaper 1424441226 9781424441228 1558-4615 1094-687X http://hdl.handle.net/1721.1/76352 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. https://orcid.org/0000-0002-6318-2978 en_US http://dx.doi.org/10.1109/IEMBS.2011.6092053 Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011 Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers Mark via Courtney Crummett |
| spellingShingle | Moody, George B. Goldberger, Ary L. Mark, Roger G PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research |
| title | PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research |
| title_full | PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research |
| title_fullStr | PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research |
| title_full_unstemmed | PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research |
| title_short | PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research |
| title_sort | physionet physiologic signals time series and related open source software for basic clinical and applied research |
| url | http://hdl.handle.net/1721.1/76352 https://orcid.org/0000-0002-6318-2978 |
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