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

Hanin B. Abubaker; Habiba S. Alsafar; Herbert F. Jelinek; Kinda A. Khalaf; Ahsan H. Khandoker

doi:10.1109/MECBME.2014.6783280

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

Biomedical Engineering & Biotechnology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

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 language	British English
Title of host publication	2014 Middle East Conference on Biomedical Engineering, MECBME 2014
Publisher	IEEE Computer Society
Pages	368-370
Number of pages	3
ISBN (Print)	9781479947997
DOIs	https://doi.org/10.1109/MECBME.2014.6783280
State	Published - 2014
Event	2014 2nd Middle East Conference on Biomedical Engineering, MECBME 2014 - Doha, Qatar Duration: 17 Feb 2014 → 20 Feb 2014

Publication series

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

Conference

Conference	2014 2nd Middle East Conference on Biomedical Engineering, MECBME 2014
Country/Territory	Qatar
City	Doha
Period	17/02/14 → 20/02/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/MECBME.2014.6783280

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Abubaker, H. B., Alsafar, H. S., Jelinek, H. F., Khalaf, K. A., & Khandoker, A. H. (2014). Poincaré plot analysis of heart rate variability in the diabetic patients in the UAE. In 2014 Middle East Conference on Biomedical Engineering, MECBME 2014 (pp. 368-370). Article 6783280 (Middle East Conference on Biomedical Engineering, MECBME). IEEE Computer Society. https://doi.org/10.1109/MECBME.2014.6783280

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title = "Poincar{\'e} plot analysis of heart rate variability in the diabetic patients in the UAE",

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 Poincar{\'e} 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 Poincar{\'e} plot indices. SD1 and CCM could be markers for CVD risk in type 2 diabetic patients.",

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Abubaker, HB, Alsafar, HS , Jelinek, HF , Khalaf, KA & Khandoker, AH 2014, Poincaré plot analysis of heart rate variability in the diabetic patients in the UAE. in 2014 Middle East Conference on Biomedical Engineering, MECBME 2014., 6783280, Middle East Conference on Biomedical Engineering, MECBME, IEEE Computer Society, pp. 368-370, 2014 2nd Middle East Conference on Biomedical Engineering, MECBME 2014, Doha, Qatar, 17/02/14. https://doi.org/10.1109/MECBME.2014.6783280

Poincaré plot analysis of heart rate variability in the diabetic patients in the UAE. / Abubaker, Hanin B.; Alsafar, Habiba S.; Jelinek, Herbert F. et al.
2014 Middle East Conference on Biomedical Engineering, MECBME 2014. IEEE Computer Society, 2014. p. 368-370 6783280 (Middle East Conference on Biomedical Engineering, MECBME).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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

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