一种基于心电信号的pRRx序列分析心律失常的方法研究
N32; 提出一种从ECG数据中提取pRRx序列,进而分析心律失常的方法.选取20例正常窦性心律和20例心律失常患者的ECG数据,计算相应的pRRx序列(x从1~100 ms取值),两组pRRx序列的分布呈现明显的差异.对pRRx序列进行线性和非线性分析,结果表明:1)线性指标中,AVRR,rMSSD和SDSD在两组序列中表现出显著性差异(P<0.001);2)非线性指标中,pRRx序列直方分布信息熵(Sdh)、功率谱直方分布信息熵(Sph)功率谱全频段信息熵(Spf)和pRRx的分形维数(Dsf,Dcf,Dvm和Drms)在两组序列中表现出显著的统计学差异(P<0.001).因此...
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Published in | 北京大学学报(自然科学版) Vol. 54; no. 6; pp. 1166 - 1172 |
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Main Authors | , , , , |
Format | Journal Article |
Language | Chinese |
Published |
北京大学深圳研究生院集成微系统科学工程与应用重点实验室,深圳,518055
20.11.2018
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Subjects | |
Online Access | Get full text |
ISSN | 0479-8023 |
DOI | 10.13209/j.0479-8023.2018.081 |
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Abstract | N32; 提出一种从ECG数据中提取pRRx序列,进而分析心律失常的方法.选取20例正常窦性心律和20例心律失常患者的ECG数据,计算相应的pRRx序列(x从1~100 ms取值),两组pRRx序列的分布呈现明显的差异.对pRRx序列进行线性和非线性分析,结果表明:1)线性指标中,AVRR,rMSSD和SDSD在两组序列中表现出显著性差异(P<0.001);2)非线性指标中,pRRx序列直方分布信息熵(Sdh)、功率谱直方分布信息熵(Sph)功率谱全频段信息熵(Spf)和pRRx的分形维数(Dsf,Dcf,Dvm和Drms)在两组序列中表现出显著的统计学差异(P<0.001).因此,基于pRRx序列的分析在一定程度上能够反映心脏系统的线性和非线性性质,可以作为一种新颖且有效的心律失常分析方法. |
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AbstractList | N32; 提出一种从ECG数据中提取pRRx序列,进而分析心律失常的方法.选取20例正常窦性心律和20例心律失常患者的ECG数据,计算相应的pRRx序列(x从1~100 ms取值),两组pRRx序列的分布呈现明显的差异.对pRRx序列进行线性和非线性分析,结果表明:1)线性指标中,AVRR,rMSSD和SDSD在两组序列中表现出显著性差异(P<0.001);2)非线性指标中,pRRx序列直方分布信息熵(Sdh)、功率谱直方分布信息熵(Sph)功率谱全频段信息熵(Spf)和pRRx的分形维数(Dsf,Dcf,Dvm和Drms)在两组序列中表现出显著的统计学差异(P<0.001).因此,基于pRRx序列的分析在一定程度上能够反映心脏系统的线性和非线性性质,可以作为一种新颖且有效的心律失常分析方法. |
Author | 刘彦伶 王新安 李秋平 赵天夏 李冉 |
AuthorAffiliation | 北京大学深圳研究生院集成微系统科学工程与应用重点实验室,深圳,518055 |
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Author_FL | LI Ran ZHAO Tianxia LIU Yanling WANG Xin'an LI Qiuping |
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Author_xml | – sequence: 1 fullname: 李冉 – sequence: 2 fullname: 王新安 – sequence: 3 fullname: 赵天夏 – sequence: 4 fullname: 刘彦伶 – sequence: 5 fullname: 李秋平 |
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DocumentTitle_FL | Research on Analysis of Arrhythmia Based on pRRx Serials Derived from ECG Signals |
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Keywords | pRRx序列 熵 分形维数 心律失常 ECG 线性指标 非线性指标 |
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Snippet | N32; 提出一种从ECG数据中提取pRRx序列,进而分析心律失常的方法.选取20例正常窦性心律和20例心律失常患者的ECG数据,计算相应的pRRx序列(x从1~100... |
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Title | 一种基于心电信号的pRRx序列分析心律失常的方法研究 |
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