A Real-Time Analysis Method for Pulse Rate Variability Based on Improved Basic Scale Entropy
Lu ZL(卢振利); Lu, Mingli; Xu, Benlian; Chou, Yongxin; Zhang, Ruilei; Feng, Yufeng
刊名Journal of Healthcare Engineering
2017
卷号2017页码:1-10
ISSN号2040-2295
通讯作者Chou, Yongxin
产权排序3
中文摘要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.
WOS标题词Science & Technology ; Life Sciences & Biomedicine
类目[WOS]Health Care Sciences & Services
研究领域[WOS]Health Care Sciences & Services
关键词[WOS]HEART-RATE-VARIABILITY
收录类别SCI ; EI
语种英语
WOS记录号WOS:000401868500001
内容类型期刊论文
源URL[http://ir.sia.cn/handle/173321/20492]  
专题沈阳自动化研究所_机器人学研究室
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
推荐引用方式
GB/T 7714
Lu ZL,Lu, Mingli,Xu, Benlian,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 Lu ZL,Lu, Mingli,Xu, Benlian,Chou, Yongxin,Zhang, Ruilei,&Feng, Yufeng.(2017).A Real-Time Analysis Method for Pulse Rate Variability Based on Improved Basic Scale Entropy.Journal of Healthcare Engineering,2017,1-10.
MLA Lu ZL,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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