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Glycemic Control, Hand Activity, and Complexity of Biological Signals in Diabetes Mellitus

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  • Hsien-Tsai Wu
  • Gen-Min Lin
  • Bagus Haryadi
  • Chieh-Ming Yang
  • Hsiao-Chiang Chu

Abstract

Both glycemic control and handgrip strength affect microvascular function. Multiscale entropy (MSE) of photoplethysmographic (PPG) pulse amplitudes may differ by diabetes status and hand activity. Of a middle-to-old aged and right-handed cohort without clinical cardiovascular disease, we controlled age, sex, and weight to select the unaffected (no type 2 diabetes, the well-controlled diabetes (HbA1c < 8%, ), and the poorly controlled diabetes (HbA1c ≥ 8%, ) groups. MSEs were calculated from consecutive 1,500 PPG pulse amplitudes of bilateral index fingertips. The and large-scale MSEs were defined as the average of scale 1 ( ), scales 2–4 ( ), and scales 5–10 ( ), respectively. Intra- and intergroups were compared by one- and two-sample -tests, respectively. The dominant hand was lower in the poorly controlled diabetes group than the well-controlled diabetes and the unaffected (1.28 versus 1.52 and 1.56, and 0.001, resp.) groups, whereas the nondominant hand was lower in the well- and poorly controlled diabetes groups than the unaffected group (1.35 and 1.29 versus 1.58, and 0.005, resp.). The of dominant hand was higher than that of nondominant hand in the well-controlled diabetes (1.35 versus 1.10, ). In conclusion, diabetes status and hand dominance may affect the MSE of PPG pulse amplitudes.

Suggested Citation

  • Hsien-Tsai Wu & Gen-Min Lin & Bagus Haryadi & Chieh-Ming Yang & Hsiao-Chiang Chu, 2017. "Glycemic Control, Hand Activity, and Complexity of Biological Signals in Diabetes Mellitus," Complexity, Hindawi, vol. 2017, pages 1-9, September.
  • Handle: RePEc:hin:complx:3472121
    DOI: 10.1155/2017/3472121
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    1. Vlasta Bari & José F Valencia & Montserrat Vallverdú & Giulia Girardengo & Andrea Marchi & Tito Bassani & Pere Caminal & Sergio Cerutti & Alfred L George Jr & Paul A Brink & Lia Crotti & Peter J Schwa, 2014. "Multiscale Complexity Analysis of the Cardiac Control Identifies Asymptomatic and Symptomatic Patients in Long QT Syndrome Type 1," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-10, April.
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