Combination of R-R Interval and Crest Time in Assessing Complexity Using Multiscale Cross-Approximate Entropy in Normal and Diabetic Subjects
| العنوان: | Combination of R-R Interval and Crest Time in Assessing Complexity Using Multiscale Cross-Approximate Entropy in Normal and Diabetic Subjects |
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| المؤلفون: | Hsien-Tsai Wu, Ming-Xia Xiao, Cheuk-Kwan Sun, Xu Yajie, Hai-Cheng Wei |
| المصدر: | Entropy Entropy, Vol 20, Iss 7, p 497 (2018) Volume 20 Issue 7 |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | medicine.medical_specialty, Waist, 0206 medical engineering, Diastole, General Physics and Astronomy, lcsh:Astrophysics, 02 engineering and technology, 030204 cardiovascular system & hematology, Approximate entropy, Article, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, multiscale entropy (MSE), Bayesian multivariate linear regression, Internal medicine, Photoplethysmogram, crest time, lcsh:QB460-466, medicine, cross-approximate entropy, Entropy (energy dispersal), lcsh:Science, Mathematics, diabetes, 020601 biomedical engineering, lcsh:QC1-999, R-R Interval, chemistry, Cardiology, R-R interval, lcsh:Q, Glycated hemoglobin, human activities, lcsh:Physics |
| الوصف: | The present study aimed at testing the hypothesis that application of multiscale cross-approximate entropy (MCAE) analysis in the study of nonlinear coupling behavior of two synchronized time series of different natures [i.e., R-R interval (RRI) and crest time (CT, the time interval from foot to peakof a pulse wave)] could yield information on complexity related to diabetes-associated vascular changes. Signals of a single waveform parameter (i.e., CT) from photoplethysmography and RRI from electrocardiogram were simultaneously acquired within a period of one thousand cardiac cycles for the computation of different multiscale entropy indices from healthy young adults (n = 22) (Group 1), upper-middle aged non-diabetic subjects (n = 34) (Group 2) and diabetic patients (n = 34) (Group 3). The demographic (i.e., age), anthropometric (i.e., body height, body weight, waist circumference, body-mass index), hemodynamic (i.e., systolic and diastolic blood pressures), and serum biochemical (i.e., high- and low-density lipoprotein cholesterol, total cholesterol, and triglyceride) parameters were compared with different multiscale entropy indices including small- and large-scale multiscale entropy indices for CT and RRI [MEISS(CT), MEILS(CT), MEISS(RRI), MEILS(RRI), respectively] as well as small- and large-scale multiscale cross-approximate entropy indices [MCEISS, MCEILS, respectively]. The results demonstrated that both MEILS(RRI) and MCEILS significantly differentiated between Group 2 and Group 3 (all p < 0.017). Multivariate linear regression analysis showed significant associations of MEILS(RRI) and MCEILS(RRI,CT) with age and glycated hemoglobin level (all p < 0.017). The findings highlight the successful application of a novel multiscale cross-approximate entropy index in non-invasively identifying diabetes-associated subtle changes in vascular functional integrity, which is of clinical importance in preventive medicine. |
| وصف الملف: | application/pdf |
| تدمد: | 1099-4300 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd3c9866001dd343f1084ba11c6a15e3Test https://pubmed.ncbi.nlm.nih.gov/33265587Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....cd3c9866001dd343f1084ba11c6a15e3 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 10994300 |
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