Time-domain analyses: statistical methods |
Mean RR | ms | The mean of RR intervals | [5] |
SDNN | ms | Standard deviation of RR intervals | [5] |
RMSSD | ms | Square root of the mean squared differences between successive RR intervals | [5] |
NN50 | count | Number of successive RR interval pairs that differ more than 50 ms | [5] |
pNN50 | % | NN50 divided by the total number of RR intervals | [5] |
Time-domain analyses: geometrical methods |
HRV triangular index | - | The integral of the RR interval histogram divided by the height of the histogram | [5] |
TINN | ms | Baseline width of the RR interval histogram | [5] |
Frequency-domain analyses |
VLF, LF, HF power | ms2 | Absolute powers of very low frequency band (0-0.04 Hz), low frequency band (0.04-0.15 Hz), and high frequency band (0.15-0.4 Hz), respectively | [5] |
LF/HF ratio | - | Ratio between LF and HF band power | [5] |
Nonlinear analyses: Poincaré plot |
SD1, SD2 | ms | Short-term and long-term variability standard deviation, respectively | [9,10] |
Nonlinear analyses: correlation dimension |
ApEn(0.2), ApEn(rmax), ApEn(rchon) | - | Approximate entropy where the tolerance value r is chosen to be r=0.2×SDNN, in the interval [0.1×SDNN, 0.9×SDNN] which maximizes ApEn, and computed according to the following formula proposed by Chon[12], respectively | [11,12] |
SampEn | - | Sample entropy | [11] |
Nonlinear analyses: correlation dimension |
D2 | - | Correlation dimension | [13] |
Nonlinear analyses: detrended fluctuation analyses |
α1, α2 | - | Short-term and long-term fluctuations, respectively | [14.15] |
Nonlinear analyses: recurrence plot |
lmean | beats | Mean line length of diagonal lines | [16-18] |
lmax | beats | Maximum line length of diagonal lines | [16-18] |
REC | % | Recurrence rate (percentage of recurrence points) | [16-18] |
DET | % | Determinism (percentage of recurrence points which form diagonal lines) | [16-18] |
ShEn | - | Shannon entropy of diagonal line lengths’ probability distribution | [16-18] |