CalculateApEn: Calculates Approximate Entropy

View source: R/CalculateApEn.R

CalculateApEnR Documentation

Calculates Approximate Entropy

Description

WARNING: deprecated function. Calculates Approximate Entropy as indicated by Pincus

Usage

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

Value

Returns HRVData, the structure that contains beat positions register and now associated heart rate instantaneous values also, including the value of the Approximate Entropy

Note

This function is deprecated. We suggest the use of the CalculateSampleEntropy function instead, which is faster.

Author(s)

M. Lado, A. Mendez, D. Olivieri, L. Rodriguez, X. Vila

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)

See Also

BuildTakensVector for expand data
IntegralCorrelation for correlation calculations
AvgIntegralCorrelation for averaging correlation calculations


RHRV documentation built on Nov. 1, 2022, 1:05 a.m.