Journal article

Methodological comparisons of heart rate variability analysis in patients with type 2 diabetes and angiotensin converting enzyme polymorphism

F Marzbanrad, AH Khandoker, BD Hambly, E Ng, M Tamayo, Y Lu, S Matthews, C Karmakar, M Palaniswami, HF Jelinek, C McLachlan

IEEE Journal of Biomedical and Health Informatics | Published : 2016

Abstract

Angiotensin converting enzyme (ACE) polymorphism has been shown to be important in hypertension progression and also in diabetes complications, especially associated with heart disease. Heart rate variability (HRV) is an established measure for classification of autonomic function regulating heart rate, based on the interbeat interval time series derived from a raw ECG recording. Results of this paper show that the length (number of interbeat intervals) and preprocessing of the tachogram affect the HRV analysis outcome. The comparison was based on tachogram lengths of 250, 300, 350, and 400 RR-intervals and five preprocessing approaches. An automated adaptive preprocessing method for the hea..

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University of Melbourne Researchers