HRV-WA algorithm, based on Frequency Möbius Modulated (FMM) models [1], analyses 24-h HRV rhythms from RR data. HRV-WA predicts HRV and identifies Nocturnal and Diurnal waves involved in HRV analysis, see [citation] for details.
HRV-WA code is implemented in R language programming and is easy to use. The code provided in this repository replicates the steps described in [citation] where HRV-WA was described.
Open the R script named runHRV-WA.R including an example to conduct the methodology.
First, source R functions saved in codeHRVWA.R must be loaded.
source("codeHRVWA.R")
Then, load the file dataExample.RData. It contains an example of 24-h RR data across 5-min time intervals that serves as input.
INPUTS:
load(file="dataExample.RData")
HRV-WA algorithm is applied on the data using the function HRV_WA.
RUN:
HRV_WA(data=dataExample)
A matrix with the FMM parameter estimations for Principal and Secondary FMM wave(s) is given.
OUTPUT:
Comp M A Alpha Beta Omega t_U t_L R2_m
Nocturnal 1 0.7653564 0.2102229 4.335471 4.168209 0.57085754 0.5712119 2.777274 0.79368260
Diurnal 3 0.7653564 0.1114734 2.248823 4.381641 0.05958329 5.3053883 5.556942 0.04729768
In addition, plots with the HRV prediction and wave decomposition are also provided.
[1] Rueda, C., Larriba, Y. & Peddada, S.D. Frequency Modulated Möbius Model Accurately Predicts Rhythmic Signals in Biological and Physical Sciences. Sci Rep 9, 18701 (2019). https://doi.org/10.1038/s41598-019-54569-1
[citation]