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A Real-Time Analysis Method for Pulse Rate Variability Based on Improved Basic Scale Entropy
Chou, Yongxin; Zhang, Ruilei; Feng, Yufeng; Lu, Mingli; Lu ZL(卢振利); Xu, Benlian
作者部门机器人学研究室
发表期刊Journal of Healthcare Engineering
ISSN2040-2295
2017
卷号2017页码:1-10
收录类别SCI ; EI
EI收录号20172203698186
WOS记录号WOS:000401868500001
产权排序3
资助机构State Key Laboratory of Robotics of China (Grant 2014-O08), the Natural Science Fundamental Research Program of Higher Education Colleges in Jiangsu Province of China (Grant 14KJB510001), the Special Research Foundation of Young Teachers (Grant XZ1613), the Suzhou Municipal Science and Technology Plan Project (Grants SYG201548, SYG201504), and the National Natural Science Foundation of China (Grant 61273312, Grant 61673075, and Grant 61473283).
摘要Base scale entropy analysis (BSEA) is a nonlinear method to analyze heart rate variability (HRV) signal. However, the time consumption of BSEA is too long, and it is unknown whether the BSEA is suitable for analyzing pulse rate variability (PRV) signal. Therefore, we proposed a method named sliding window iterative base scale entropy analysis (SWIBSEA) by combining BSEA and sliding window iterative theory. The blood pressure signals of healthy young and old subjects are chosen from the authoritative international database MIT/PhysioNet/Fantasia to generate PRV signals as the experimental data. Then, the BSEA and the SWIBSEA are used to analyze the experimental data; the results show that the SWIBSEA reduces the time consumption and the buffer cache space while it gets the same entropy as BSEA. Meanwhile, the changes of base scale entropy (BSE) for healthy young and old subjects are the same as that of HRV signal. Therefore, the SWIBSEA can be used for deriving some information from long-term and short-term PRV signals in real time, which has the potential for dynamic PRV signal analysis in some portable and wearable medical devices.
语种英语
WOS标题词Science & Technology ; Life Sciences & Biomedicine
WOS类目Health Care Sciences & Services
关键词[WOS]HEART-RATE-VARIABILITY
WOS研究方向Health Care Sciences & Services
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/20492
专题机器人学研究室
通讯作者Chou, Yongxin
作者单位1.School of Electrical and Automatic Engineering, Changshu Institute of Technology, Changshu, 215500, China
2.Changshu No. 1 People's Hospital, Changshu, China
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110014, China
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GB/T 7714
Chou, Yongxin,Zhang, Ruilei,Feng, Yufeng,et al. A Real-Time Analysis Method for Pulse Rate Variability Based on Improved Basic Scale Entropy[J]. Journal of Healthcare Engineering,2017,2017:1-10.
APA Chou, Yongxin,Zhang, Ruilei,Feng, Yufeng,Lu, Mingli,Lu ZL,&Xu, Benlian.(2017).A Real-Time Analysis Method for Pulse Rate Variability Based on Improved Basic Scale Entropy.Journal of Healthcare Engineering,2017,1-10.
MLA Chou, Yongxin,et al."A Real-Time Analysis Method for Pulse Rate Variability Based on Improved Basic Scale Entropy".Journal of Healthcare Engineering 2017(2017):1-10.
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