WARNING: deprecated function. Calculates Approximate Entropy as indicated by Pincus
CalculateApEn(HRVData, indexNonLinearAnalysis = length(HRVData$NonLinearAnalysis), m =2, tau =1, r =0.2, N =1000, verbose=NULL)
Arguments
HRVData: Data structure that stores the beats register and information related to it
indexNonLinearAnalysis: Reference to the data structure that will contain the non linear analysis
m: Value of the dimension of the expansion of data
tau: Delay of the expansion of data
r: Distance for calculating correlation
N: Number of points of the portion of signal to be analyzed
verbose: Deprecated argument maintained for compatibility, use SetVerbose() instead
Returns
Returns HRVData, the structure that contains beat positions register and now associated heart rate instantaneous values also, including the value of the Approximate Entropy
References
L. Rodriguez-Linares, A. Mendez, M. Lado, D. Olivieri, X. Vila, I. Gomez-Conde, "An open source tool for heart rate variability spectral analysis", Computer Methods and Programs in Biomedicine 103, 39-50, doi:10.1016/j.cmpb.2010.05.012 (2011) S. M. Pincus, "Approximate entropy as a measure of system complexity," Mathematics 88, 2297-2301 (1991)
Author(s)
M. Lado, A. Mendez, D. Olivieri, L. Rodriguez, X. Vila
See Also
BuildTakensVector for expand data
IntegralCorrelation for correlation calculations
AvgIntegralCorrelation for averaging correlation calculations
Note
This function is deprecated . We suggest the use of the CalculateSampleEntropy function instead, which is faster.