Table 1.
A summary of HRV indices according to their respective analysis domains.
Analysis Domain | Sub-Domain | Acronym | Description |
---|---|---|---|
Time-Domain | Deviation-based approach | SDNN | Standard deviation of NN intervals |
SDANN | Standard deviation of average NN intervals for each 5 min segment | ||
SDNN Index | Mean of the standard deviations of NN intervals in 5 min segments | ||
Difference-based approach | SDSD | Standard deviation of successive NN interval differences | |
RMSSD | Root mean square of successive NN interval differences | ||
pNN20 | Proportion of successive NN interval differences larger than 20 ms | ||
pNN50 | Proportion of successive NN interval differences larger than 50 ms | ||
Geometric approach | HTI | Integral of the density of the NN interval histogram divided by its height | |
TTIN | Baseline width of the RR interval histogram | ||
Frequency-domain | Absolute Power | ULF | Power spectrum in the frequency range of ≤0.003 Hz |
VLF | Power spectrum in the frequency range of 0.0033–0.04 Hz | ||
LF | Power spectrum in the frequency range of 0.04–0.15 Hz | ||
HF | Power spectrum in the frequency range of 0.15–0.4 Hz | ||
Normalized/Relative Power | LnHF | Natural logarithm of HF | |
HFn | Normalized HF | ||
LFn | Normalized LF | ||
LF/HF | Ratio of LF to HF power | ||
Time-frequency domain | Linear approach | STFT | Power spectrum estimation using short-term Fourier transform |
WT | Power spectrum estimation using Wavelet transform | ||
Quadratic approach | WVD | Power spectrum estimation using Wigner–-Ville distribution | |
SWVD | Power spectrum estimation using Smoothed Wigner–Ville distribution | ||
Non-linear domain | Poincaré Plot | SD1 | Poincaré plot standard deviation perpendicular the line of identity |
SD2 | Poincaré plot standard deviation along the line of identity | ||
SD1/SD2 | Ratio of SD1 to SD2 | ||
Entropy | ApEn | Estimation of complexity using approximate entropy | |
SampEn | Estimation of complexity using sample entropy | ||
MSE | Estimation of complexity using multiscale entropy | ||
Fractal Dimensions | DFA | Estimation of signal fluctuations using detrended fluctuation analysis | |
CD | Estimation of minimum number of variables to define a dynamic model |