Multiscale entropy analysis of pulse wave velocity for assessing atherosclerosis in the aged and diabetic

Hsien Tsai Wu, Po Chun Hsu, Cheng Feng Lin, Hou Jun Wang, Cheuk Kwan Sun, An Bang Liu, Men Tzung Lo, Chieh Ju Tang

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48 Scopus citations


This study proposed a dynamic pulse wave velocity (PWV)-based biomedical parameter in assessing the degree of atherosclerosis for the aged and diabetic populations. Totally, 91 subjects were recruited from a single medical institution between July 2009 and October 2010. The subjects were divided into four groups: young healthy adults (Group 1, n 22), healthy upper middle-aged adults (Group 2, n 28), type 2 diabetics with satisfactory blood sugar control (Group 3, n 21), and unsatisfactory blood sugar control (Group 4, n 20). A self-developed six-channel electrocardiography (ECG)-PWV-based equipment was used to acquire 1000 successive recordings of PWV foot values within 30 min. The data, thus, obtained were analyzed with multiscale entropy (MSE). Large-scale MSE index (MEI LS) was chosen as the assessment parameter. Not only did MEI LS successfully differentiate between subjects in Groups 1 and 2, but it also showed a significant difference between Groups 3 and 4. Compared with the conventional parameter of PWV foot and MEI on R-R interval i.e., MEI (RRI) in evaluating the degree of atherosclerotic change, the dynamic parameter, MEI LS (PWV), could better reflect the impact of age and blood sugar control on the progression of atherosclerosis.

Original languageEnglish
Article number5893923
Pages (from-to)2978-2981
Number of pages4
JournalIEEE Transactions on Biomedical Engineering
Issue number10 PART 2
StatePublished - Oct 2011


  • Atherosclerosis
  • diabetic
  • dynamic parameter
  • multiscale entropy (MSE)
  • pulse wave velocity (PWV)


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