PFEIFER

PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings - Published in JOSS (2018)

https://github.com/sciinstitute/pfeifer

Science Score: 98.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • Committers with academic emails
    4 of 8 committers (50.0%) from academic institutions
  • Institutional organization owner
    Organization sciinstitute has institutional domain (www.sci.utah.edu)
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

ecg-imaging ecg-signal electrocardiography signal-processing
Last synced: 6 months ago · JSON representation

Repository

Signal processing toolbox for cardiac potential recordings.

Basic Info
  • Host: GitHub
  • Owner: SCIInstitute
  • License: mit
  • Language: MATLAB
  • Default Branch: master
  • Homepage:
  • Size: 125 MB
Statistics
  • Stars: 3
  • Watchers: 10
  • Forks: 7
  • Open Issues: 5
  • Releases: 5
Topics
ecg-imaging ecg-signal electrocardiography signal-processing
Created over 8 years ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

Pfeifer

PFEIFER: Preprocessing Framework of Electrograms Intermittently Fiducialized from Experimental Recordings

PFEIFER is an open source software for processing of cardiac electrogram signals.

To reference PFEIFER in your own work please refer to the Journal of Open Source Software article published at the link below.

DOI

DOI

Installation Instructions

Requirements

  • CPU: Core Duo or higher, recommended i5 or i7
  • Memory: 4 gB or higher, recommended 8
  • Versions Tested: MATLAB r2016b
  • Toolboxes required: None

Starting PFEIFER

PFEIFER is designed as a collection of .m scripts and functions usable within an active installation of MATLAB. To run PFEIFER the user must add the PFEIFER folder and subfolders to the MATLAB path. Once added to the MATLAB path the user can access the PFEIFER GUI in any directory by calling "PFEIFER" from the command window of MATLAB.

Owner

  • Name: The Scientific Computing and Imaging Institute
  • Login: SCIInstitute
  • Kind: organization
  • Email: cibc-contact@sci.utah.edu
  • Location: Salt Lake City, Utah

JOSS Publication

PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings
Published
January 24, 2018
Volume 3, Issue 21, Page 472
Authors
Anton Rodenhauser ORCID
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA
Wilson W. Good ORCID
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA, Bioengineering Department, University of Utah, Salt Lake City, UT, USA
Brian Zenger ORCID
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA, Bioengineering Department, University of Utah, Salt Lake City, UT, USA
Jess Tate ORCID
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA, Bioengineering Department, University of Utah, Salt Lake City, UT, USA
Kedar Aras ORCID
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA, Bioengineering Department, University of Utah, Salt Lake City, UT, USA
Brett Burton ORCID
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA, Bioengineering Department, University of Utah, Salt Lake City, UT, USA
Rob S. MacLeod ORCID
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA, Bioengineering Department, University of Utah, Salt Lake City, UT, USA
Editor
Kevin M. Moerman ORCID
Tags
Electrogram Electrocardiogram Ischemia Fiducial Cardiac Signal processing MATLAB

GitHub Events

Total
  • Issue comment event: 1
  • Push event: 1
  • Pull request review event: 1
  • Pull request event: 2
  • Fork event: 1
  • Create event: 1
Last Year
  • Issue comment event: 1
  • Push event: 1
  • Pull request review event: 1
  • Pull request event: 2
  • Fork event: 1
  • Create event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 134
  • Total Committers: 8
  • Avg Commits per committer: 16.75
  • Development Distribution Score (DDS): 0.418
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
AntonRodenhauser a****r@h****m 78
jessdtate j****s@s****u 20
bzenger b****r@g****m 14
wgood w****d@s****u 9
Anton a****n@j****u 9
Anton a****n@d****u 2
Jake Bergquist 3****7 1
Arfon Smith a****n 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 7
  • Total pull requests: 36
  • Average time to close issues: 14 minutes
  • Average time to close pull requests: 4 days
  • Total issue authors: 2
  • Total pull request authors: 6
  • Average comments per issue: 0.57
  • Average comments per pull request: 0.28
  • Merged pull requests: 34
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 days
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • jessdtate (6)
  • jab0707 (1)
Pull Request Authors
  • bzenger (12)
  • AntonRodenhauser (11)
  • wgood (7)
  • jessdtate (3)
  • jab0707 (2)
  • arfon (1)
Top Labels
Issue Labels
Pull Request Labels
enhancement (2)