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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
Department机器人学研究室
Source PublicationJournal of Healthcare Engineering
ISSN2040-2295
2017
Volume2017Pages:1-10
Indexed BySCI ; EI
EI Accession number20172203698186
WOS IDWOS:000401868500001
Contribution Rank3
Funding OrganizationState 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).
AbstractBase 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.
Language英语
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS SubjectHealth Care Sciences & Services
WOS KeywordHEART-RATE-VARIABILITY
WOS Research AreaHealth Care Sciences & Services
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/20492
Collection机器人学研究室
Corresponding AuthorChou, Yongxin
Affiliation1.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
Recommended Citation
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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