ANSLAB is very powerful with respect to the analysis of HRV. Besides widely used variability indices such as spectral analysis-derived HRV and root mean square of successive differences, ANSLAB outputs a range of more advanced variability measures:
Complex demodulation (a time-frequency analysis method allowing a high temporal resolution of extracted variability indices)
Steven Porges' method (V-hat, including cubic polynomial detrending)
Nonlinear parameters (approximative and sample entropy, detrended fluctuation analysis (DFA), Hurst exponent, embedding dimension, and (Largest) Lyapunov exponent (optionally based on embedding parameters)).
Batch processing and batch plotting options allow semi- or full automatized analysis of HRV.
This video demonstrates some of the analysis features:
heartratevariability.txt · Last modified: 2013/01/28 12:36 by frank