 Glycemic Control, Hand Activity, and Complexity of Biological Signals in Diabetes MellitusHsien-Tsai Wu, Gen-Min Lin, Bagus Haryadi, Chieh-Ming Yang and Hsiao-Chiang Chu Complexity, 2017, vol. 2017, 1-9 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. Date: 2017 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:3472121 DOI: 10.1155/2017/3472121 Access Statistics for this article More articles in Complexity from Hindawi |
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