Linear and non-linear analysis of cardiac health in diabetic subjects

被引：56

作者：

Faust, Oliver ^{[1
]}

Acharya, U. Rajendra ^{[1
]}

Molinari, Filippo ^{[2
]}

Chattopadhyay, Subhagata ^{[3
]}

Tamura, Toshiyo ^{[4
]}

机构：

[1] Ngee Ann Polytech, Singapore 599489, Singapore

[2] Politecn Torino, Biolab, Dept Elect, Turin, Italy

[3] Natl Inst Sci & Technol, Sch Comp Studies, Dept Comp Sci & Engn, Berhampur 761008, Orissa, India

[4] Chiba Univ, Dept Med Syst Engn, Chiba 2638522, Japan

来源：

BIOMEDICAL SIGNAL PROCESSING AND CONTROL | 2012年 / 7卷 / 03期

关键词：

Cardiomyopathy; Non-linear methods; Linear methods; Correlation dimension; Approximate entropy; Sample entropy; Recurrence plot properties; Poincare plot; HEART-RATE-VARIABILITY; AUTOREGRESSIVE MODELS; APPROXIMATE ENTROPY; RECURRENCE PLOTS; TIME-SERIES; CLASSIFICATION; DIAGNOSIS; VARIABLES;

D O I：

10.1016/j.bspc.2011.06.002

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Diabetes is a chronic disease characterized by hyperglycaemia, which leads to specific long-term complications: retinopathy, neuropathy, nephropathy and cardiomyopathy. Analysis of cardiac health using heart rate variation (HRV) has become a popular method to assess the activities of the autonomic nervous system (ANS). It is beneficial in the assessment of cardiac abnormalities, because of its ability to capture fast fluctuations that may be an indication of sympathetic and vagal activity. This paper documents work on the analysis of both normal and diabetic heart rate signals using time domain, frequency domain and nonlinear techniques. The study is based on data from 15 patients with diabetes and 15 healthy volunteers. Our results show that non-linear analysis of HRV is superior compared to time and frequency methods. Non-linear parameters namely, correlation dimension (CD), approximate entropy (ApEn), sample entropy (SampEn) and recurrence plot properties (REC and DET), are clinically significant. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：295 / 302

页数：8

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