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
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:

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