Three nonlinear parameters to assess autonomic nervous system function of type 2 diabetes mellitus patients with a postural change from supineness to standing

Lu Cheng, Li Xia, Quan Haiying

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Type 2 diabetes mellitus (T2DM) is a prevalent disease, which causes a high mortality and morbidity particularly if cardiovascular autonomic neuropathy (CAN) is present. Since heart rate variability (HRV) is a nonlinear and non-stationary signal, some nonlinear information can be explored from it with chaos theory. In this paper, electrocardiographs (ECGs) of healthy controls and T2DM patients both in supine position and standing position were firstly recorded. Then three nonlinear parameters including approximate entropy (ApEn), complexity (Comp) and sample entropy (SampEn) were calculated from HRV extracted by ECG. Finally autonomic nervous system (ANS) function of T2DM patients was assessed with above three nonlinear parameters. Subjects consisted of 35 T2DM patients and 38 healthy controls. The results showed that three nonlinear parameters were reduced in T2DM patients and decreased much less in T2DM patients compared with healthy controls when there was a postural change. The results also indicated that Comp and SampEn were more efficient than ApEn for assessing function of ANS.

Original languageEnglish
Title of host publication2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012
Pages610-613
Number of pages4
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012 - Chongqing, China
Duration: 16 Oct 201218 Oct 2012

Publication series

Name2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012

Conference

Conference2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012
Country/TerritoryChina
CityChongqing
Period16/10/1218/10/12

Keywords

  • assessment
  • autonomic nervous system function
  • heart rate variability
  • postural change
  • type 2 diabetes mellitus

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