DocumentCode :
2507236
Title :
PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research
Author :
Moody, George B. ; Mark, Roger G. ; Goldberger, Ary L.
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
8327
Lastpage :
8330
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.
Keywords :
Web services; biomedical engineering; cloud computing; data acquisition; groupware; information storage; medical administrative data processing; medical computing; physiological models; public domain software; time series; PhysioBank data collection; PhysioNetWorks; PhysioToolkit software component; applied research; biomedical engineering; clinical research; collaborative development; free web access; medical computing; medical instrument design; medical instrument evaluation; medicine; open engineering challenge; open source software; physiologic signal; physiology; public health; signal data archive; software library; time series; virtual laboratory; Cardiology; Databases; Electrocardiography; Medical diagnostic imaging; Physiology; Software; Biomedical Research; Humans; Internet; Physiology; Signal Processing, Computer-Assisted; Software; Time Factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6092053
Filename :
6092053
Link To Document :
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