Application of a modified entropy computational method in assessing the complexity of pulse wave velocity signals in healthy and diabetic subjects

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Title:	Application of a modified entropy computational method in assessing the complexity of pulse wave velocity signals in healthy and diabetic subjects
Authors:	羅孟宗;Chang, Yi-Chung;Wu, Hsien-Tsai;Chen, Hong-Ruei;Liu, An-Bang;Yeh, Jung-Jen;Lo, Men-Tzung;Tsao, Jen-Ho;Tang, Chieh-Ju;Tsai, I-Ting;Sun, Cheuk-Kwan
Contributors:	生醫理工學院生醫科學與工程學系
Keywords:	age;Complexity;Computation;Computer simulation;diabetes;Diabetes mellitus;Entropy;Human;multi-scale entropy;Populations;Preservation;pulse wave velocity;scale factor
Date:	2014-01-01
Issue Date:	2026-04-23 11:15:02 (UTC+8)
Publisher:	MDPI Multidisciplinary Digital Publishing Institute;Basel: MDPI AG
Abstract:	摘要： Using 1000 successive points of a pulse wave velocity (PWV) series, we previously distinguished healthy from diabetic subjects with multi-scale entropy (MSE) using a scale factor of 10. One major limitation is the long time for data acquisition (i.e., 20 min). This study aimed at validating the sensitivity of a novel method, short time MSE (sMSE) that utilized a substantially smaller sample size (i.e., 600 consecutive points), in differentiating the complexity of PWV signals both in simulation and in human subjects that were divided into four groups: healthy young (Group 1; n = 24) and middle-aged (Group 2; n = 30) subjects without known cardiovascular disease and middle-aged individuals with well-controlled (Group 3; n = 18) and poorly-controlled (Group 4; n = 22) diabetes mellitus type 2. The results demonstrated that although conventional MSE could differentiate the subjects using 1000 consecutive PWV series points, sensitivity was lost using only 600 points. Simulation study revealed consistent results. By contrast, the novel sMSE method produced significant differences in entropy in both simulation and testing subjects. In conclusion, this study demonstrated that using a novel sMSE approach for PWV analysis, the time for data acquisition can be substantially reduced to that required for 600 cardiac cycles (~10 min) with remarkable preservation of sensitivity in differentiating among healthy, aged, and diabetic populations. 出版者： Basel: MDPI AG 出版日期： 2014-07-01 出處： Entropy (Basel, Switzerland), 2014-07, Vol.16 (7), p.4032-4043 資源來源： Publicly Available Content Database 版權： Copyright MDPI AG 2014 識別號： ISSN: 1099-4300 識別號： EISSN: 1099-4300 識別號： DOI: 10.3390/e16074032
Appears in Collections:	[Department of Biomedical Sciences and Engineering ] journal & Dissertation

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