๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Detrended fluctuation analysis of heart intrabeat dynamics

โœ Scribed by Eduardo Rodriguez; Juan C. Echeverria; Jose Alvarez-Ramirez

Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
758 KB
Volume
384
Category
Article
ISSN
0378-4371

No coin nor oath required. For personal study only.

โœฆ Synopsis

We investigate scaling properties of electrocardiogram (ECG) recordings of healthy subjects and heart failure patients based on detrended fluctuation analysis (DFA). While the vast majority of scaling analysis has focused on the characterization of the long-range correlations of interbeat (i.e., beat-to-beat) dynamics, in this work we consider instead the characterization of intrabeat dynamics. That is, here we use DFA to study correlations for time scales smaller than one heart beat period (about 0.75 s). Our results show that intrabeat dynamics of healthy subject are less correlated than for heart failure dynamics. As in the case of interbeat dynamics, the DFA scaling exponents can be used to discriminate healthy and pathological data. It is shown that 0.5 h recordings suffices to characterize the ECG correlation properties.

๐Ÿ“œ SIMILAR VOLUMES

Effect of coarse-graining on detrended f
Effect of coarse-graining on detrended fluctuation analysis
โœ Radhakrishnan Nagarajan ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 649 KB

Several studies have investigated the scaling behavior in naturally occurring biological and physical processes using techniques such as detrended fluctuation analysis (DFA). Data acquisition is an inherent part of these studies and maps the continuous process into digital data. The resulting digita

Comparison of detrending methods for flu
Comparison of detrending methods for fluctuation analysis
โœ Amir Bashan; Ronny Bartsch; Jan W. Kantelhardt; Shlomo Havlin ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 995 KB

We examine several recently suggested methods for the detection of long-range correlations in data series based on similar ideas as the well-established Detrended Fluctuation Analysis (DFA). In particular, we present a detailed comparison between the regular DFA and two recently suggested methods: t

Nonlinear-analysis of human sleep EEG us
Nonlinear-analysis of human sleep EEG using detrended fluctuation analysis
โœ Jong-Min Lee; Dae-Jin Kim; In-Young Kim; Kwang Suk Park; Sun I. Kim ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 139 KB

Quantification of the fractal scaling properties of human sleep EEG dynamics was sought and each normal sleep stage was compared with that of sleep apnea. The fractal scaling exponents that quantify power-law correlations were computed using detrended fluctuation analysis. Six healthy subjects, aged

Human heart beat analysis using a modifi
Human heart beat analysis using a modified algorithm of detrended fluctuation analysis based on empirical mode decomposition
โœ Jia-Rong Yeh; Shou-Zen Fan; Jiann-Shing Shieh ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 623 KB

How to quantify the complexity of a physiological signal is a crucial issue for verifying the underlying mechanism of a physiological system. The original algorithm of detrended fluctuation analysis (DFA) quantifies the complexity of signals using the DFA scaling exponent. However, the DFA scaling e

Detrended fluctuation analysis of partic
Detrended fluctuation analysis of particle condensation on complex networks
โœ Ming Tang; Zonghua Liu ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 692 KB

It has been found that the structure of complex network has significant influence on the condensation of particles and the equilibrium state of particles is dynamical. We study here the fluctuation of particles on each individual node at equilibrium status and find that the particle distributions ca