Package: CardiacDP 0.4.3

CardiacDP: Automated Cardiac Data Processing via ACF, GA & Tracking Index

An algorithm developed to efficiently and accurately process complex and variable cardiac data with three key features: 1. employing autocorrelation to identify recurrent heartbeats and use their periods to compute heart rates; 2. incorporating a genetic algorithm framework to minimize data loss due to noise interference and accommodate within-sequence variations; and 3. introducing a tracking index as a moving reference to reduce errors. Lau, Wong, & Gu (2026) <https://ssrn.com/abstract=5153081>.

Authors:Sarah Lau [aut, ctb], Adrian Wong [aut, ctb], Yi-Fei Gu [aut, cre]

CardiacDP_0.4.3.tar.gz
CardiacDP_0.4.3.zip(r-4.7-any)CardiacDP_0.4.3.zip(r-4.6-any)CardiacDP_0.4.3.zip(r-4.5-any)
CardiacDP_0.4.3.tgz(r-4.6-any)CardiacDP_0.4.3.tgz(r-4.5-any)
CardiacDP_0.4.3.tar.gz(r-4.7-any)CardiacDP_0.4.3.tar.gz(r-4.6-any)
CardiacDP_0.4.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CardiacDP/json (API)

# Install 'CardiacDP' in R:
install.packages('CardiacDP', repos = c('https://vicellken.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vicellken/cardiacdp/issues

On CRAN:

Conda:

3.54 score 1 stars 2 scripts 206 downloads 2 exports 33 dependencies

Last updated from:e19df43fd1. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR127
source / vignettesOK165
linux-releaseERROR118
macos-releaseERROR133
macos-oldrelERROR136
windows-develERROR65
windows-releaseERROR81
windows-oldrelERROR82
wasm-releaseOK95

Exports:collatedatacomputeHR

Dependencies:clicodetoolscpp11data.tabledoParalleldplyrfarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyselectutf8vctrsviridisLitewithr