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. 2021 Jun 9;21(12):3998. doi: 10.3390/s21123998

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