标题:Is Cross-sample Entropy a Valid Measure of Synchronization between Sequences of RR Interval and Pulse Transit Time?
作者:Liu, Chengyu; Zheng, Dingchang; Li, Peng; Zhao, Lina; Liu, Changchun; Murray, Alan
通讯作者:Liu, CY
作者机构:[Liu, Chengyu; Zheng, Dingchang; Murray, Alan] Newcastle Univ, Inst Cellular Med, Newcastle Upon Tyne NE1 4LP, Tyne & Wear, England.; [Liu, Chengyu; 更多
会议名称:40th Annual Meeting on Computing in Cardiology (CinC)
会议日期:SEP 22-25, 2013
来源:2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)
出版年:2013
卷:40
页码:939-942
摘要:Synchronization provides an insight into mechanisms underlying the interaction among bivariate physiological signals where their coupling is not known a priori. Cross-sample entropy (C-SampEn) has been used to quantify their synchronization. However, traditional C-SampEn has a poor statistical stability because a rigid decision rule is applied to define the similarity between two vectors. In this study, a fuzzy membership function was implemented to redefine the decision rule in C-SampEn with its performance evaluated using simulated and real cardiovascular coupling signals (RR interval and pulse transit time sequences from 10 normal subjects and 10 heart failure patients).; Simulation results verified the decrease of both C-SampEn with increasing coupling degree. The analysis of cardiovascular coupling signals demonstrated a significant difference between normal and heart failure patients (normal 1.17 +/- 0.09 vs. heart failure 1.02 +/- 0.10, P<0.01) with the improved C-SampEn, but not the traditional C-SampEn. Our improved C-SampEn provides a better understanding of the different cardiovascular coupling between normal subjects and heart failure patients.
收录类别:CPCI-S
WOS核心被引频次:1
资源类型:会议论文
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