Poincaré plot analysis of heart rate variability in the diabetic patients in the UAE

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Abstract

Major complications such as cardiac death and cardiac autonomic neuropathy are caused by diabetic autonomic neuropathy. Heart Rate Variability (HRV) analysis has shown to detect variations in the autonomic balance of heart rate and is useful for early detection of autonomic dysfunction. This study presents the outcome of HRV analysis of short ECG recordings taken from nondiabetic and type 2 diabetes patients, applying Poincaré plot indices represented by short term variation (SD1), long term variation (SD2) and complex correlation (CCM) measure which measures the temporal dynamics, for early detection of cardiac autonomic neuropathy. SD1 and the ratio SD1/SD2 were found to be significantly lower in type 2 diabetes patients than the control group. The highest discriminatory power was observed with CCM, indicating the advantage of using a dynamic measure for HRV rather than the static Poincaré plot indices. SD1 and CCM could be markers for CVD risk in type 2 diabetic patients.

Original languageBritish English
Title of host publication2014 Middle East Conference on Biomedical Engineering, MECBME 2014
PublisherIEEE Computer Society
Pages368-370
Number of pages3
ISBN (Print)9781479947997
DOIs
StatePublished - 2014
Event2014 2nd Middle East Conference on Biomedical Engineering, MECBME 2014 - Doha, Qatar
Duration: 17 Feb 201420 Feb 2014

Publication series

NameMiddle East Conference on Biomedical Engineering, MECBME
ISSN (Print)2165-4247
ISSN (Electronic)2165-4255

Conference

Conference2014 2nd Middle East Conference on Biomedical Engineering, MECBME 2014
Country/TerritoryQatar
CityDoha
Period17/02/1420/02/14

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