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egm

Evaluation of electrophysiological signals

https://github.com/shah-in-boots/egm

Science Score: 49.0%

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 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (18.0%) to scientific vocabulary

Keywords

cardiology electrophysiology r signal-processing
Last synced: 6 months ago · JSON representation

Repository

Evaluation of electrophysiological signals

Basic Info
Statistics
  • Stars: 1
  • Watchers: 3
  • Forks: 3
  • Open Issues: 14
  • Releases: 2
Topics
cardiology electrophysiology r signal-processing
Created over 4 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# EGM


[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[![CRAN status](https://www.r-pkg.org/badges/version/EGM)](https://CRAN.R-project.org/package=EGM)
[![](http://cranlogs.r-pkg.org/badges/grand-total/EGM?color=blue)](https://cran.r-project.org/package=EGM)
[![R-CMD-check](https://github.com/shah-in-boots/EGM/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/shah-in-boots/EGM/actions/workflows/R-CMD-check.yaml)
[![pkgdown](https://github.com/shah-in-boots/egm/actions/workflows/pkgdown.yaml/badge.svg)](https://github.com/shah-in-boots/egm/actions/workflows/pkgdown.yaml)
[![test-coverage](https://github.com/shah-in-boots/EGM/actions/workflows/test-coverage.yaml/badge.svg)](https://github.com/shah-in-boots/EGM/actions/workflows/test-coverage.yaml)
[![Codecov test coverage](https://codecov.io/gh/shah-in-boots/egm/branch/main/graph/badge.svg)](https://app.codecov.io/gh/shah-in-boots/egm?branch=main)
[![Github commit frequency](https://img.shields.io/github/commit-activity/w/shah-in-boots/EGM)](https://github.com/shah-in-boots/EGM/graphs/commit-activity) 
[![DOI](https://zenodo.org/badge/405145024.svg)](https://doi.org/10.5281/zenodo.15244228)


The purpose of `{EGM}` is to work with electrophysiology (EP) signal data to help understand and simplify the complexity of complex, multi-channel electrical signal data.
The target audience is those working, in particular, with *cardiac electrophysiology data*, from intracardiac electrograms to surface electrocardiography.
The package is heavily inspired by and gains additional functionality from the [Waveform Database (WFDB) software package](https://physionet.org/content/wfdb/10.7.0/).

The goals and major arms of this software are...

1. Adapt `WFDB`-compatible signal data to an `R` format that is interchangeable
1. Provide simple visualization tools to work with short elements of raw signal data
1. Allow for annotation of intracardiac electrograms in an interactive manner
1. Train and allow development of learning algorithms for the evaluation of multi-channel time series data

Please see the vignettes for further details on usage.

## Installation

You can install the released version of `{EGM}` from [CRAN](https://CRAN.R-project.org) with:

```{r, eval=FALSE}
install.packages("EGM")
```

And the development version from [GitHub](https://github.com/) with:

```{r, eval=FALSE}
# install.packages("devtools")
devtools::install_github("shah-in-boots/EGM")
```

Notably, the package software utilizes the WFDB software if it is available. 
You can expect errors in calling commands until the software is appropriately installed. 
Further installation instructions are available on the [Github site](https://github.com/bemoody/wfdb).

Owner

  • Name: Anish S. Shah
  • Login: shah-in-boots
  • Kind: user
  • Location: Chicago, IL

physician interested in stress & arrhythmias, cardiac electrophysiology, epidemiology, and computational genetics

GitHub Events

Total
  • Create event: 2
  • Release event: 1
  • Issues event: 3
  • Watch event: 1
  • Issue comment event: 4
  • Push event: 33
  • Pull request review event: 2
  • Pull request review comment event: 1
  • Pull request event: 20
  • Fork event: 1
Last Year
  • Create event: 2
  • Release event: 1
  • Issues event: 3
  • Watch event: 1
  • Issue comment event: 4
  • Push event: 33
  • Pull request review event: 2
  • Pull request review comment event: 1
  • Pull request event: 20
  • Fork event: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 33
  • Total pull requests: 29
  • Average time to close issues: 8 months
  • Average time to close pull requests: 5 minutes
  • Total issue authors: 4
  • Total pull request authors: 3
  • Average comments per issue: 1.33
  • Average comments per pull request: 0.07
  • Merged pull requests: 24
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 22
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 1 minute
  • Issue authors: 3
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.09
  • Merged pull requests: 17
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • shah-in-boots (31)
  • teunbrand (1)
  • MichaelChirico (1)
  • ssandu2 (1)
Pull Request Authors
  • shah-in-boots (34)
  • dsean2112 (2)
  • teunbrand (1)
Top Labels
Issue Labels
development (15) complex (9) bug (8) documentation (7) help (5) priority (5) duplicate (1) question (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 252 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: EGM

Evaluating Cardiac Electrophysiology Signals

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 252 Last month
Rankings
Dependent packages count: 28.9%
Dependent repos count: 35.6%
Average: 49.8%
Downloads: 85.1%
Maintainers (1)
ashah282@uic.edu
Last synced: 6 months ago

Dependencies

.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v2 composite
  • actions/upload-artifact main composite
  • r-lib/actions/setup-r v1 composite
  • r-lib/actions/setup-r-dependencies v1 composite
DESCRIPTION cran
  • R >= 2.10 depends
  • vctrs * depends
  • coraline >= 0.0.0.9000 imports
  • data.table * imports
  • ggplot2 * imports
  • gsignal * imports
  • lifecycle * imports
  • covr * suggests
  • testthat >= 3.0.0 suggests