Literature DB >> 14716615

PhysioNet: an NIH research resource for complex signals.

Madalena Costa1, George B Moody, Isaac Henry, Ary L Goldberger.   

Abstract

The Research Resource for Complex Physiologic Signals, supported by the National Institutes of Health (NIH), is intended to promote and facilitate investigations in the study of cardiovascular and other complex biomedical signals. The resource website (www.physionet.org) has 3 interdependent components: 1) PhysioBank is an archive of well-characterized digital recordings of physiologic signals and related data, including databases of electrocardiogram and heart rate time series from patients with heart failure, coronary disease, sleep apnea syndromes, and cardiac arrhythmias; 2) PhysioToolkit is a library of open-source software for physiologic signal processing and analysis; and 3) PhysioNet, for which the resource is named, is an on-line forum for dissemination and exchange of recorded biomedical signals and open-source software for analyzing them. PhysioNet, in cooperation with the annual Computers in Cardiology conference, hosts a series of challenges inviting participants to tackle clinically interesting problems that are either unsolved or not well solved. PhysioNet invites contributions of databases and software from the biomedical community.

Entities:  

Mesh:

Year:  2003        PMID: 14716615     DOI: 10.1016/j.jelectrocard.2003.09.038

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  6 in total

1.  QT dynamics early after exercise as a predictor of mortality.

Authors:  Nils P Johnson; Thomas A Holly; Jeffrey J Goldberger
Journal:  Heart Rhythm       Date:  2010-05-15       Impact factor: 6.343

2.  Mathematical modeling research to support the development of automated insulin-delivery systems.

Authors:  Garry M Steil; Jaques Reifman
Journal:  J Diabetes Sci Technol       Date:  2009-03-01

Review 3.  Maximizing information from space data resources: a case for expanding integration across research disciplines.

Authors:  Nandu Goswami; Jerry J Batzel; Gilles Clément; T Peter Stein; Alan R Hargens; M Keith Sharp; Andrew P Blaber; Peter G Roma; Helmut G Hinghofer-Szalkay
Journal:  Eur J Appl Physiol       Date:  2012-10-17       Impact factor: 3.078

Review 4.  Space physiology IV: mathematical modeling of the cardiovascular system in space exploration.

Authors:  M Keith Sharp; Jerry Joseph Batzel; Jean-Pierre Montani
Journal:  Eur J Appl Physiol       Date:  2013-03-29       Impact factor: 3.078

5.  Nearest-neighbor and logistic regression analyses of clinical and heart rate characteristics in the early diagnosis of neonatal sepsis.

Authors:  Yuping Xiao; M Pamela Griffin; Douglas E Lake; J Randall Moorman
Journal:  Med Decis Making       Date:  2009-06-18       Impact factor: 2.583

6.  The National Sleep Research Resource: towards a sleep data commons.

Authors:  Guo-Qiang Zhang; Licong Cui; Remo Mueller; Shiqiang Tao; Matthew Kim; Michael Rueschman; Sara Mariani; Daniel Mobley; Susan Redline
Journal:  J Am Med Inform Assoc       Date:  2018-10-01       Impact factor: 4.497

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.