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

Marzbanrad, Faezeh, Khandoker, Ahsan H., Hambly, Brett D., Ng, Ethan, Tamayo, Michael, Lu, Yaxin, Matthews, Slade, Karmakar, Chandan, Palaniswami, Marimuthu, Jelinek, Herbert F. and McLachlan, Craig 2016, Methodological comparisons of heart rate variability analysis in patients with type 2 diabetes and angiotensin converting enzyme polymorphism, IEEE journal of biomedical and health informatics, vol. 20, no. 1, pp. 55-63, doi: 10.1109/JBHI.2015.2480778.

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Title Methodological comparisons of heart rate variability analysis in patients with type 2 diabetes and angiotensin converting enzyme polymorphism
Author(s) Marzbanrad, Faezeh
Khandoker, Ahsan H.
Hambly, Brett D.
Ng, Ethan
Tamayo, Michael
Lu, Yaxin
Matthews, Slade
Karmakar, ChandanORCID iD for Karmakar, Chandan orcid.org/0000-0003-1814-0856
Palaniswami, Marimuthu
Jelinek, Herbert F.
McLachlan, Craig
Journal name IEEE journal of biomedical and health informatics
Volume number 20
Issue number 1
Start page 55
End page 63
Total pages 9
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2016-01
ISSN 2168-2194
2168-2208
Keyword(s) angiotensin converting enzyme (ACE) polymorphism
genotypes
heart rate variability analysis
preprocessing
tachogram length
type-2 diabetes
Summary 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 heart rate biosignal and tachogram length of 400 interbeat intervals provided the best classification. HRV results differed for the Type 2 Diabetes Mellitus (T2DM) group between the I/I genotype and the I/D and D/D genotypes, whereas for controls there was no significant difference in HRV between genotypes. Selecting an appropriate length of recording and automated preprocessing has confirmed that there is an effect of ACE polymorphism including the I/I genotype and that I/I should not be combined with I/D genotype in determining the extent of autonomic modulation of the heart rate.
Language eng
DOI 10.1109/JBHI.2015.2480778
Field of Research 090399 Biomedical Engineering not elsewhere classified
090609 Signal Processing
Socio Economic Objective 920203 Diagnostic Methods
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082916

Document type: Journal Article
Collection: Centre for Pattern Recognition and Data Analytics
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