TY - JOUR
A2 - Chen, Shengyong
AU - Wu, Hsien-Tsai
AU - Liu, Cyuan-Cin
AU - Lo, Men-Tzung
AU - Hsu, Po-Chun
AU - Liu, An-Bang
AU - Chang, Kai-Yu
AU - Tang, Chieh-Ju
PY - 2013
DA - 2013/06/20
TI - Multiscale Cross-Approximate Entropy Analysis as a Measure of Complexity among the Aged and Diabetic
SP - 324325
VL - 2013
AB - Complex fluctuations within physiological signals can be used to evaluate the health of the human body. This study recruited four groups of subjects: young healthy subjects (Group 1, n=32), healthy upper middle-aged subjects (Group 2, n=36), subjects with well-controlled type 2 diabetes (Group 3, n=31), and subjects with poorly controlled type 2 diabetes (Group 4, n=24). Data acquisition for each participant lasted 30 minutes. We obtained data related to consecutive time series with R-R interval (RRI) and pulse transit time (PTT). Using multiscale cross-approximate entropy (MCE), we quantified the complexity between the two series and thereby differentiated the influence of age and diabetes on the complexity of physiological signals. This study used MCE in the quantification of complexity between RRI and PTT time series. We observed changes in the influences of age and disease on the coupling effects between the heart and blood vessels in the cardiovascular system, which reduced the complexity between RRI and PTT series.
SN - 1748-670X
UR - https://doi.org/10.1155/2013/324325
DO - 10.1155/2013/324325
JF - Computational and Mathematical Methods in Medicine
PB - Hindawi Publishing Corporation
KW -
ER -