The goal of hrvhra is to provide functions to calculate the most often used, time domain, variance- and runs-based HRV and HRA descriptors, as well as draw the Poincare plot and assess the quality of your RR-intervals time series based on the annotations vector. All you need is your RR-intervals time series, preferably with the annotations (i.e. the annotations for each RR interval). The annotations should be as follows: 0-beat of sinus origin, 1-beat of ventricular origin, 2-beat of supraventricular origin, 3-artifact. Any annotation which is not one of these 4 values will be assigned the "unknown" label.
You can install hrvhra from github with:
# install.packages("devtools")
devtools::install_github("jaropis/hrvhra")
These are a few basic examples showing the functionality of the package. The package contains an example dataset RR
, which is a dataframe with RR
(RR-intervals) and flags
(annotations) columns. This dataset will be used in the examples below.
library(hrvhra)
hrvhra(RR$RR, RR$flags)
#> SDNN SD1 SD2 SD1I SDNNd SDNNa SD1d SD1a
#> 66.31092 36.80717 86.25258 36.80717 45.94416 47.81497 26.41755 25.62968
#> SD2d SD2a
#> 59.36199 62.57526
drawpp(RR$RR, RR$flags)
describerr(RR$flags)
#> all N V S X U
#> 1943 1943 0 0 0 0
countruns(RR$RR, RR$flags)
#> $direction_up
#> up1 up2 up3 up4 up5
#> 61 173 134 37 2
#>
#> $direction_down
#> down1 down2 down3 down4 down5 down6 down7
#> 64 180 127 27 5 3 2
#>
#> $no_change
#> no_change1
#> 6
J Piskorski, P Guzik, Geometry of the Poincaré plot of RR intervals and its asymmetry in healthy adults, Physiological measurement 28 (3), 287 (2007)
J Piskorski, P Guzik, The structure of heart rate asymmetry: deceleration and acceleration runs, Physiological measurement 32 (8), (2011)
This project is currently funded by the grant "Rytm dobowy asymetrii rytmu serca u osób zdrowych. Związki asymetrii rytmu serca z wiekiem, wskaźnikami antropometrycznymi, aktywnością fizyczną oraz płcią"