The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: |
0.4.2 |
| Depends: |
R (≥ 4.3.0) |
| Imports: |
data.table, doParallel, dplyr, foreach, ggplot2, purrr, RColorBrewer, stringr |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2026-02-12 |
| DOI: |
10.32614/CRAN.package.CardiacDP (may not be active yet) |
| Author: |
Sarah Lau  [aut,
ctb],
Adrian Wong [aut, ctb],
Yi-Fei Gu [aut,
cre] |
| Maintainer: |
Yi-Fei Gu <guyf0601 at connect.hku.hk> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
CardiacDP results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=CardiacDP
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.
Health stats visible at Monitor.