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      An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and Octave

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          Abstract

          The WaveForm DataBase (WFDB) Toolbox for MATLAB/Octave enables integrated access to PhysioNet’s software and databases. Using the WFDB Toolbox for MATLAB/Octave, users have access to over 50 physiological databases in PhysioNet. The toolbox provides access over 4 TB of biomedical signals including ECG, EEG, EMG, and PLETH. Additionally, most signals are accompanied by metadata such as medical annotations of clinical events: arrhythmias, sleep stages, seizures, hypotensive episodes, etc. Users of this toolbox should easily be able to reproduce, validate, and compare results published based on PhysioNet’s software and databases.

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          Multiscale entropy analysis of complex physiologic time series.

          Madalena Costa, Ary Goldberger, C.-K. Peng (2002)
          There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.
          Article 0 comments Cited 428 times – based on 0 reviews     Review now
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            Derivation of respiratory signals from multi-lead ECGs.

            GB Moody, RG Mark, A Zoccola … (1985)
            Article 0 comments Cited 3 times – based on 0 reviews     Review now
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              An Open-source Algorithm to Detect Onset of Arterial Blood Pressure Pulses

              W Zong, RG Mark, T Heldt … (2003)
              Article 0 comments Cited 3 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-journal-id): 101642258
                Journal ID (pubmed-jr-id): 43076
                Journal ID (nlm-ta): J Open Res Softw
                Journal ID (iso-abbrev): J Open Res Softw
                Title: Journal of open research software
                ISSN (Electronic): 2049-9647
                Publication date Nihms-submitted: 26 October 2015
                Publication date (Electronic): 24 September 2014
                Publication date (Print): 2014
                Publication date PMC-release: 30 October 2015
                Volume: 2
                Issue: 1
                Electronic Location Identifier: e27
                Affiliations
                [1 ]Laboratory for Computational Physiology/PhysioNet, Institute for Medical Engineering and Science, Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, USA
                Article
                Manuscript ID: NIHMS732709
                DOI: 10.5334/jors.bi
                PMC ID: 4627662
                PubMed ID: 26525081
                SO-VID: 197beda9-56a1-4743-b227-1a4b6826e560
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License (CC-BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/3.0/.

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                Subject: Article

                Keywords: ecg,qrs,eeg,arrhythmia,physionet,biosignal processing,biomedical,database,octave,matlab,physiological signals
                Data availability:
                Keywords: ecg, qrs, eeg, arrhythmia, physionet, biosignal processing, biomedical, database, octave, matlab, physiological signals

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