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

Faezeh Marzbanrad; Ahsan H. Khandoker; Brett D. Hambly; Ethan Ng; Michael Tamayo; Yaxin Lu; Slade Matthews; Chandan Karmakar; Marimuthu Palaniswami; Herbert F. Jelinek; Craig McLachlan

doi:10.1109/JBHI.2015.2480778

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

Faezeh Marzbanrad, Ahsan H. Khandoker, Brett D. Hambly, Ethan Ng, Michael Tamayo, Yaxin Lu, Slade Matthews, Chandan Karmakar, Marimuthu Palaniswami, Herbert F. Jelinek, Craig McLachlan

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

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 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.

Original language	English
Article number	7307082
Pages (from-to)	55-63
Number of pages	9
Journal	IEEE Journal of Biomedical and Health Informatics
Volume	20
Issue number	1
Early online date	2015
DOIs	https://doi.org/10.1109/JBHI.2015.2480778
Publication status	Published - Jan 2016

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10.1109/JBHI.2015.2480778

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Marzbanrad, F., Khandoker, A. H., Hambly, B. D., Ng, E., Tamayo, M., Lu, Y., Matthews, S., Karmakar, C., Palaniswami, M., Jelinek, H. F., & McLachlan, C. (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, 20(1), 55-63. Article 7307082. https://doi.org/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",

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 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.",

keywords = "Type-2 Diabetes, Heart rate variabilty analysis, ACE polymorphism, Genotypes, Pre-processing, Tachogram length",

author = "Faezeh Marzbanrad and Khandoker, {Ahsan H.} and Hambly, {Brett D.} and Ethan Ng and Michael Tamayo and Yaxin Lu and Slade Matthews and Chandan Karmakar and Marimuthu Palaniswami and Jelinek, {Herbert F.} and Craig McLachlan",

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year = "2016",

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doi = "10.1109/JBHI.2015.2480778",

language = "English",

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pages = "55--63",

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Marzbanrad, F, Khandoker, AH, Hambly, BD, Ng, E, Tamayo, M, Lu, Y, Matthews, S, Karmakar, C, Palaniswami, M, Jelinek, HF & McLachlan, C 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, 7307082, pp. 55-63. https://doi.org/10.1109/JBHI.2015.2480778

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. et al.
In: IEEE Journal of Biomedical and Health Informatics, Vol. 20, No. 1, 7307082, 01.2016, p. 55-63.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Methodological comparisons of heart rate variability analysis in patients with type 2 diabetes and angiotensin converting enzyme polymorphism

AU - Marzbanrad, Faezeh

AU - Khandoker, Ahsan H.

AU - Hambly, Brett D.

AU - Ng, Ethan

AU - Tamayo, Michael

AU - Lu, Yaxin

AU - Matthews, Slade

AU - Karmakar, Chandan

AU - Palaniswami, Marimuthu

AU - Jelinek, Herbert F.

AU - McLachlan, Craig

N1 - Includes bibliographical references.

PY - 2016/1

Y1 - 2016/1

N2 - 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.

AB - 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.

KW - Type-2 Diabetes

KW - Heart rate variabilty analysis

KW - ACE polymorphism

KW - Genotypes

KW - Pre-processing

KW - Tachogram length

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JO - IEEE Journal of Biomedical and Health Informatics

JF - IEEE Journal of Biomedical and Health Informatics

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

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