The effect of automated preprocessing of RR interval tachogram on discrimination capability of Heart Rate Variability parameters

F. Marzbanrad; Herbert Jelinek; E. Ng; M. Tamayo; B. Hambly; C. McLachlan; S. Matthews; M. Palaniswami; A. Khandoker

The effect of automated preprocessing of RR interval tachogram on discrimination capability of Heart Rate Variability parameters

F. Marzbanrad, Herbert Jelinek, E. Ng, M. Tamayo, B. Hambly, C. McLachlan, S. Matthews, M. Palaniswami, A. Khandoker

Research output: Book chapter/Published conference paper › Conference paper › peer-review

4 Citations (Scopus)

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Abstract

Heart Rate Variability (HRV) has been extensively investigated for characterizing the autonomic nervous system (ANS) in controlling heart rate. Since ectopic beats, artefacts and noise of the ECG can affect the estimation of HRV features, pre-processing of the RR tachogram can improve the accuracy of HRV analysis and discriminatory power. This paper investigates the effect of different automated preprocessing methods on discriminatory capability of HRV analysis with an example of comparison between different groups of normal and type II diabetic patients with different Angiotensin-Converting Enzyme (ACE) gene polymorphism. Results show that smaller p-values and therefore higher discriminatory capability are found when preprocessing is used, while none of the features can show significant difference if they are estimated from the raw R-R sequence. Secondly, the preprocessing methods do not have the same effect for all HRV features.

Original language	English
Title of host publication	Computing in Cardiology 2013
Subtitle of host publication	Volume 40
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	483-486
Number of pages	4
Volume	40
ISBN (Electronic)	9781479908868
ISBN (Print)	9781479908844
Publication status	Published - 2013
Event	40th Computing in Cardiology Conference, CinC 2013 - School of Engineering (Betancourt Building), The University of Zaragoza, Zaragoza, Spain Duration: 22 Sept 2013 → 25 Sept 2013 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6695807 (Conference proceedings) https://web.archive.org/web/20130825093106/http://cinc2013.org/ (Conference website)

Conference

Conference	40th Computing in Cardiology Conference, CinC 2013
Country/Territory	Spain
City	Zaragoza
Period	22/09/13 → 25/09/13
Other	Computing in Cardiology provides an international forum for scientists and professionals from the fields of medicine, physics, engineering and computer science, and has been held annually since 1974.
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6695807 (Conference proceedings) https://web.archive.org/web/20130825093106/http://cinc2013.org/ (Conference website)

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Marzbanrad, F., Jelinek, H., Ng, E., Tamayo, M., Hambly, B., McLachlan, C., Matthews, S., Palaniswami, M., & Khandoker, A. (2013). The effect of automated preprocessing of RR interval tachogram on discrimination capability of Heart Rate Variability parameters. In Computing in Cardiology 2013: Volume 40 (Vol. 40, pp. 483-486). IEEE, Institute of Electrical and Electronics Engineers.

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title = "The effect of automated preprocessing of RR interval tachogram on discrimination capability of Heart Rate Variability parameters",

abstract = "Heart Rate Variability (HRV) has been extensively investigated for characterizing the autonomic nervous system (ANS) in controlling heart rate. Since ectopic beats, artefacts and noise of the ECG can affect the estimation of HRV features, pre-processing of the RR tachogram can improve the accuracy of HRV analysis and discriminatory power. This paper investigates the effect of different automated preprocessing methods on discriminatory capability of HRV analysis with an example of comparison between different groups of normal and type II diabetic patients with different Angiotensin-Converting Enzyme (ACE) gene polymorphism. Results show that smaller p-values and therefore higher discriminatory capability are found when preprocessing is used, while none of the features can show significant difference if they are estimated from the raw R-R sequence. Secondly, the preprocessing methods do not have the same effect for all HRV features.",

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note = "Imported on 03 May 2017 - DigiTool details were: publisher = United States: CCAL, 2013. Event dates (773o) = 22-25 September, 2013; Parent title (773t) = Computing in Cardiology Conference.; 40th Computing in Cardiology Conference, CinC 2013<br/> ; Conference date: 22-09-2013 Through 25-09-2013",

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Marzbanrad, F, Jelinek, H, Ng, E, Tamayo, M, Hambly, B, McLachlan, C, Matthews, S, Palaniswami, M & Khandoker, A 2013, The effect of automated preprocessing of RR interval tachogram on discrimination capability of Heart Rate Variability parameters. in Computing in Cardiology 2013: Volume 40. vol. 40, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 483-486, 40th Computing in Cardiology Conference, CinC 2013
, Zaragoza, Spain, 22/09/13.

The effect of automated preprocessing of RR interval tachogram on discrimination capability of Heart Rate Variability parameters. / Marzbanrad, F.; Jelinek, Herbert; Ng, E. et al.
Computing in Cardiology 2013: Volume 40. Vol. 40 United States: IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 483-486.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - The effect of automated preprocessing of RR interval tachogram on discrimination capability of Heart Rate Variability parameters

AU - Marzbanrad, F.

AU - Jelinek, Herbert

AU - Ng, E.

AU - Tamayo, M.

AU - Hambly, B.

AU - McLachlan, C.

AU - Matthews, S.

AU - Palaniswami, M.

AU - Khandoker, A.

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = United States: CCAL, 2013. Event dates (773o) = 22-25 September, 2013; Parent title (773t) = Computing in Cardiology Conference.

PY - 2013

Y1 - 2013

N2 - Heart Rate Variability (HRV) has been extensively investigated for characterizing the autonomic nervous system (ANS) in controlling heart rate. Since ectopic beats, artefacts and noise of the ECG can affect the estimation of HRV features, pre-processing of the RR tachogram can improve the accuracy of HRV analysis and discriminatory power. This paper investigates the effect of different automated preprocessing methods on discriminatory capability of HRV analysis with an example of comparison between different groups of normal and type II diabetic patients with different Angiotensin-Converting Enzyme (ACE) gene polymorphism. Results show that smaller p-values and therefore higher discriminatory capability are found when preprocessing is used, while none of the features can show significant difference if they are estimated from the raw R-R sequence. Secondly, the preprocessing methods do not have the same effect for all HRV features.

AB - Heart Rate Variability (HRV) has been extensively investigated for characterizing the autonomic nervous system (ANS) in controlling heart rate. Since ectopic beats, artefacts and noise of the ECG can affect the estimation of HRV features, pre-processing of the RR tachogram can improve the accuracy of HRV analysis and discriminatory power. This paper investigates the effect of different automated preprocessing methods on discriminatory capability of HRV analysis with an example of comparison between different groups of normal and type II diabetic patients with different Angiotensin-Converting Enzyme (ACE) gene polymorphism. Results show that smaller p-values and therefore higher discriminatory capability are found when preprocessing is used, while none of the features can show significant difference if they are estimated from the raw R-R sequence. Secondly, the preprocessing methods do not have the same effect for all HRV features.

KW - Open access version available

M3 - Conference paper

SN - 9781479908844

VL - 40

SP - 483

EP - 486

BT - Computing in Cardiology 2013

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - United States

T2 - 40th Computing in Cardiology Conference, CinC 2013<br/>

Y2 - 22 September 2013 through 25 September 2013

ER -

The effect of automated preprocessing of RR interval tachogram on discrimination capability of Heart Rate Variability parameters

Abstract

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