Automated Cardiac Data Processing via ACF, GA & Tracking Index R package CardiacDP version 0.4.2 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>. Software Depends: R (>= 4.3.0) Imports: data.table, doParallel, dplyr, foreach, ggplot2, purrr, RColorBrewer, stringr Suggests: testthat (>= 3.0.0) Yi-Fei Gu <guyf0601@connect.hku.hk> Comprehensive R Archive Network (CRAN) Sarah Lau [aut, ctb] (ORCID: <https://orcid.org/0000-0003-1742-0821>), Adrian Wong [aut, ctb], Yi-Fei Gu [aut, cre] (ORCID: <https://orcid.org/0000-0003-1741-638X>) MIT + file LICENSE (https://CRAN.R-project.org/package=CardiacDP/LICENSE) 2026-02-12 application/tgz https://CRAN.R-project.org/package=CardiacDP doi:10.32614/CRAN.package.CardiacDP