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

Hsien-Tsai Wu1, Po-Chun Hsu, Cheng-Feng Lin

  • 1Department of Electrical Engineering, National Dong Hwa University, Hualien 97401, Taiwan. dsphans@mail.ndhu.edu.tw

Insights

A new dynamic pulse wave velocity (PWV) parameter, the large-scale multiscale entropy index (MEI(LS)), effectively assesses atherosclerosis progression in aging and diabetic individuals. This method surpasses traditional measures in reflecting age and blood sugar control impacts.

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Physiology
  • Medical Diagnostics

Background:

  • Atherosclerosis is a significant health concern, particularly in aging and diabetic populations.
  • Traditional parameters for assessing atherosclerosis, such as pulse wave velocity (PWV), have limitations in reflecting dynamic changes.
  • There is a need for advanced methods to evaluate the progression of atherosclerosis influenced by factors like age and glycemic control.

Purpose of the Study:

  • To introduce and validate a novel dynamic PWV-based parameter, the large-scale multiscale entropy index (MEI(LS)), for assessing atherosclerosis.
  • To compare the efficacy of MEI(LS) against conventional parameters like PWV(foot) and MEI on R-R interval (MEI(RRI)).
  • To investigate the impact of age and blood sugar control on atherosclerosis progression using the MEI(LS) parameter.

Main Methods:

  • Recruited 91 subjects into four groups: young healthy, middle-aged healthy, type 2 diabetics with satisfactory glycemic control, and type 2 diabetics with unsatisfactory glycemic control.
  • Utilized self-developed six-channel electrocardiography (ECG)-PWV equipment to record PWV(foot) values over 30 minutes.
  • Analyzed PWV data using multiscale entropy (MSE) to derive the MEI(LS) as the primary assessment parameter.

Main Results:

  • The MEI(LS) parameter successfully differentiated between young healthy adults and middle-aged healthy adults.
  • Significant differences in MEI(LS) were observed between diabetic groups with satisfactory and unsatisfactory blood sugar control.
  • MEI(LS) demonstrated a superior ability to reflect the influence of age and blood sugar control on atherosclerosis progression compared to PWV(foot) and MEI(RRI).

Conclusions:

  • The dynamic MEI(LS) parameter offers a more sensitive and comprehensive assessment of atherosclerosis.
  • This novel parameter holds promise for improved monitoring and management of atherosclerosis in aging and diabetic individuals.
  • MEI(LS) provides valuable insights into the interplay between physiological aging, glycemic control, and cardiovascular health.

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