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CardioCurveR
View on CRAN: Click
here
Download and install CardioCurveR package within the R console
Install from CRAN:
install.packages("CardioCurveR")
Install from Github:
library("remotes")
install_github("cran/CardioCurveR") Install by package version:
library("remotes")
install_version("CardioCurveR", "1.0.0") Attach the package and use:
library("CardioCurveR")
Maintained by
Matías Castillo-Aguilar
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-07
Latest Update: 2025-04-07
Description:
Automated and robust framework for analyzing R-R interval (RRi) signals using advanced nonlinear modeling and preprocessing techniques. The package implements a dual-logistic model to capture the rapid drop and subsequent recovery of RRi during exercise, as described by Castillo-Aguilar et al. (2025) <doi:10.1038/s41598-025-93654-6>. In addition, 'CardioCurveR' includes tools for filtering RRi signals using zero-phase Butterworth low-pass filtering and for cleaning ectopic beats via adaptive outlier replacement using local regression and robust statistics. These integrated methods preserve the dynamic features of RRi signals and facilitate accurate cardiovascular monitoring and clinical research.
How to cite:
Matías Castillo-Aguilar (2025). CardioCurveR: Nonlinear Modeling of R-R Interval Dynamics. R package version 1.0.0, https://cran.r-project.org/web/packages/CardioCurveR. Accessed 17 Jul. 2026.
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