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EGM: Evaluating Cardiac Electrophysiology Signals

A system for importing electrophysiological signal, based on the 'Waveform Database (WFDB)' software package, written by Moody et al 2022 <doi:10.13026/gjvw-1m31>. A wrapper for utilizing 'WFDB' functions for reading and writing signal data, as well as functions for visualization and analysis are provided. A stable and broadly compatible class for working with signal data, supporting the reading in of cardiac electrophysiogical files such as intracardiac electrograms, is introduced.

Version: 0.1.0
Depends: R (≥ 4.0), vctrs (≥ 0.5.0), data.table (≥ 1.15.0)
Imports: stats, fs, ggplot2, lifecycle, rlang, utils, xml2, base64enc, checkmate, stringr
Suggests: covr, knitr, rmarkdown, testthat (≥ 3.0.0), withr
Published: 2024-05-23
DOI: 10.32614/CRAN.package.EGM
Author: Anish S. Shah ORCID iD [aut, cre, cph]
Maintainer: Anish S. Shah <ashah282 at uic.edu>
BugReports: https://github.com/shah-in-boots/EGM/issues
License: MIT + file LICENSE
URL: https://shah-in-boots.github.io/EGM/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: EGM results

Documentation:

Reference manual: EGM.pdf
Vignettes: Getting Started
Signal Segmentation
WFDB: An Introduction to the Waveform Database Software Package

Downloads:

Package source: EGM_0.1.0.tar.gz
Windows binaries: r-devel: EGM_0.1.0.zip, r-release: EGM_0.1.0.zip, r-oldrel: EGM_0.1.0.zip
macOS binaries: r-release (arm64): EGM_0.1.0.tgz, r-oldrel (arm64): EGM_0.1.0.tgz, r-release (x86_64): EGM_0.1.0.tgz, r-oldrel (x86_64): EGM_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EGM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.