DocumentCode :
674479
Title :
A software toolkit for nonlinear Heart Rate Variability analysis
Author :
Garcia, Carlos Andres ; Otero, Andres ; Presedo, Jesus ; Vila, Xose ; Felix, Paulo
Author_Institution :
Centro Singular de Investig. en Tecnoloxias da Informacion (CITIUS), Univ. of Santiago de Compostela, Santiago de Compostela, Spain
fYear :
2013
fDate :
22-25 Sept. 2013
Firstpage :
393
Lastpage :
396
Abstract :
This paper presents an extension to the RHRV package that enables nonlinear Heart Rate Variability (HRV) analysis. RHRV is an open source package for the R environment for statistical computing which already has support for a wide variety of time and frequency HRV analysis methods. Now RHRV also provides a phase space reconstruction algorithm that uses the delays method and that deals with the problem of discretization in the RR series. The package provides automatic estimation of both the embedding dimension and the time lag needed for the phase space reconstruction. Functionality to perform nonlinearity tests and nonlinear noise reduction is also provided. A wide variety of nonlinear statistics can be calculated, including largest Lyapunov exponent, correlation dimension, SD1/SD2 of Poincaré plots, detrended fluctuation analysis, approximate entropy and recurrence quantification analysis.
Keywords :
cardiology; medical signal processing; public domain software; signal reconstruction; statistical analysis; Lyapunov exponent; Poincaré plots; R environment; RHRV package; RR series; SD1; SD2; approximate entropy; correlation dimension; detrended fluctuation analysis; discretization problem; embedding dimension; nonlinear heart rate variability analysis; nonlinear noise reduction; nonlinear statistics; open source package; phase space reconstruction algorithm; recurrence quantification analysis; software toolkit; statistical computing; time lag; Algorithm design and analysis; Correlation; Educational institutions; Heart rate variability; Time series analysis; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology Conference (CinC), 2013
Conference_Location :
Zaragoza
ISSN :
2325-8861
Print_ISBN :
978-1-4799-0884-4
Type :
conf
Filename :
6713396
Link To Document :
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