tidyrhrv: Read, Iteratively Filter, and Analyze Multiple ECG Datasets
Allows users to quickly load multiple patients' electrocardiographic
(ECG) data at once and conduct relevant time analysis of heart rate variability
(HRV) without manual edits from a physician or data cleaning specialist.
The package provides the unique ability to iteratively filter, plot,
and store time analysis results in a data frame while writing plots to a
predefined folder. This streamlines the workflow for HRV analysis across
multiple datasets. Methods are based on Rodríguez-Liñares et al. (2011)
<doi:10.1016/j.cmpb.2010.05.012>. Examples of applications using this
package include Kwon et al. (2022) <doi:10.1007/s10286-022-00865-2> and
Lawrence et al. (2023) <doi:10.1016/j.autneu.2022.103056>.
Version: |
1.1.0 |
Imports: |
dplyr, tidyr, RHRV, purrr, magrittr, pracma, tibble, stats, grDevices |
Suggests: |
testthat (≥ 3.0.0), ggplot2, vroom, readr |
Published: |
2025-07-29 |
DOI: |
10.32614/CRAN.package.tidyrhrv |
Author: |
Steven Lawrence
[aut, cre] |
Maintainer: |
Steven Lawrence <stevenlawrence.r at gmail.com> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
CRAN checks: |
tidyrhrv results |
Documentation:
Downloads:
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