Literature DB >> 22256277

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

George B Moody1, Roger G Mark, Ary L Goldberger.   

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.

Mesh:

Year:  2011        PMID: 22256277     DOI: 10.1109/IEMBS.2011.6092053

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  9 in total

1.  LightWAVE: Waveform and Annotation Viewing and Editing in a Web Browser.

Authors:  George B Moody
Journal:  Comput Cardiol (2010)       Date:  2013-09

Review 2.  The Role of Big Data in the Management of Sleep-Disordered Breathing.

Authors:  Rohit Budhiraja; Robert Thomas; Matthew Kim; Susan Redline
Journal:  Sleep Med Clin       Date:  2016-03-16

3.  WaveformECG: A Platform for Visualizing, Annotating, and Analyzing ECG Data.

Authors:  Raimond L Winslow; Stephen Granite; Christian Jurado
Journal:  Comput Sci Eng       Date:  2016-08-24       Impact factor: 2.080

4.  Vital Recorder-a free research tool for automatic recording of high-resolution time-synchronised physiological data from multiple anaesthesia devices.

Authors:  Hyung-Chul Lee; Chul-Woo Jung
Journal:  Sci Rep       Date:  2018-01-24       Impact factor: 4.379

5.  Accessing the public MIMIC-II intensive care relational database for clinical research.

Authors:  Daniel J Scott; Joon Lee; Ikaro Silva; Shinhyuk Park; George B Moody; Leo A Celi; Roger G Mark
Journal:  BMC Med Inform Decis Mak       Date:  2013-01-10       Impact factor: 2.796

6.  Normalizing electrocardiograms of both healthy persons and cardiovascular disease patients for biometric authentication.

Authors:  Meixue Yang; Bin Liu; Miaomiao Zhao; Fan Li; Guoqing Wang; Fengfeng Zhou
Journal:  PLoS One       Date:  2013-08-20       Impact factor: 3.240

7.  Epileptic Seizures Prediction Using Machine Learning Methods.

Authors:  Syed Muhammad Usman; Muhammad Usman; Simon Fong
Journal:  Comput Math Methods Med       Date:  2017-12-19       Impact factor: 2.238

8.  ECG-ViEW II, a freely accessible electrocardiogram database.

Authors:  Young-Gun Kim; Dahye Shin; Man Young Park; Sukhoon Lee; Min Seok Jeon; Dukyong Yoon; Rae Woong Park
Journal:  PLoS One       Date:  2017-04-24       Impact factor: 3.240

9.  Studying the dynamics of interbeat interval time series of healthy and congestive heart failure subjects using scale based symbolic entropy analysis.

Authors:  Imtiaz Awan; Wajid Aziz; Imran Hussain Shah; Nazneen Habib; Jalal S Alowibdi; Sharjil Saeed; Malik Sajjad Ahmed Nadeem; Syed Ahsin Ali Shah
Journal:  PLoS One       Date:  2018-05-17       Impact factor: 3.240

  9 in total

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