CardioCurveR - Nonlinear Modeling of R-R Interval Dynamics
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.
