Detection of cardiac autonomic neuropathy using linear parametric modeling of QT dynamics

M.H Imam; C. Karmakar; A. Khandoker; Herbert Jelinek; M. Palaniswami

Detection of cardiac autonomic neuropathy using linear parametric modeling of QT dynamics

M.H Imam, C. Karmakar, A. Khandoker, Herbert Jelinek, M. Palaniswami

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

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Abstract

In this study a linear parametric modeling technique is applied to model ventricular repolarisation (QT) variability from heart rate variability (RR) and respiration to investigate the change in cardiovascular system complexity in diabetes patients with cardiac autonomic neuropathy (CAN+) and without (CAN-). ECGs were recorded from 32 participants (20 CAN- and 12 CAN+), whilst in a supine resting position for 20 minutes and linear parametric autoregressive models using the first 250 beats were analysed. Models developed from the ECG derived respiration information could explain the QT-RR dynamics better than the models designed without any respiration information and may improve classification of CAN. QT-RR interaction provides useful information about cardiovascular system dynamics and autonomic nervous system modulation and ventricular repolarization on heart rate and heart rate variability.

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	1019-1022
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)

Publication series

Name
ISSN (Print)	2325-8861

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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title = "Detection of cardiac autonomic neuropathy using linear parametric modeling of QT dynamics",

abstract = "In this study a linear parametric modeling technique is applied to model ventricular repolarisation (QT) variability from heart rate variability (RR) and respiration to investigate the change in cardiovascular system complexity in diabetes patients with cardiac autonomic neuropathy (CAN+) and without (CAN-). ECGs were recorded from 32 participants (20 CAN- and 12 CAN+), whilst in a supine resting position for 20 minutes and linear parametric autoregressive models using the first 250 beats were analysed. Models developed from the ECG derived respiration information could explain the QT-RR dynamics better than the models designed without any respiration information and may improve classification of CAN. QT-RR interaction provides useful information about cardiovascular system dynamics and autonomic nervous system modulation and ventricular repolarization on heart rate and heart rate variability.",

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author = "M.H Imam and C. Karmakar and A. Khandoker and Herbert Jelinek and M. Palaniswami",

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publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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Imam, MH, Karmakar, C, Khandoker, A, Jelinek, H & Palaniswami, M 2013, Detection of cardiac autonomic neuropathy using linear parametric modeling of QT dynamics. in Computing in Cardiology 2013: Volume 40. vol. 40, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 1019-1022, 40th Computing in Cardiology Conference, CinC 2013
, Zaragoza, Spain, 22/09/13.

Detection of cardiac autonomic neuropathy using linear parametric modeling of QT dynamics. / Imam, M.H; Karmakar, C.; Khandoker, A. et al.
Computing in Cardiology 2013: Volume 40. Vol. 40 United States: IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 1019-1022.

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

TY - GEN

T1 - Detection of cardiac autonomic neuropathy using linear parametric modeling of QT dynamics

AU - Imam, M.H

AU - Karmakar, C.

AU - Khandoker, A.

AU - Jelinek, Herbert

AU - Palaniswami, M.

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = Spain: CCAL, 2013. Event dates (773o) = 22-25th September, 2013; Parent title (773t) = Computing in Cardiology Conference. ISSNs: 2325-8861;

PY - 2013

Y1 - 2013

N2 - In this study a linear parametric modeling technique is applied to model ventricular repolarisation (QT) variability from heart rate variability (RR) and respiration to investigate the change in cardiovascular system complexity in diabetes patients with cardiac autonomic neuropathy (CAN+) and without (CAN-). ECGs were recorded from 32 participants (20 CAN- and 12 CAN+), whilst in a supine resting position for 20 minutes and linear parametric autoregressive models using the first 250 beats were analysed. Models developed from the ECG derived respiration information could explain the QT-RR dynamics better than the models designed without any respiration information and may improve classification of CAN. QT-RR interaction provides useful information about cardiovascular system dynamics and autonomic nervous system modulation and ventricular repolarization on heart rate and heart rate variability.

AB - In this study a linear parametric modeling technique is applied to model ventricular repolarisation (QT) variability from heart rate variability (RR) and respiration to investigate the change in cardiovascular system complexity in diabetes patients with cardiac autonomic neuropathy (CAN+) and without (CAN-). ECGs were recorded from 32 participants (20 CAN- and 12 CAN+), whilst in a supine resting position for 20 minutes and linear parametric autoregressive models using the first 250 beats were analysed. Models developed from the ECG derived respiration information could explain the QT-RR dynamics better than the models designed without any respiration information and may improve classification of CAN. QT-RR interaction provides useful information about cardiovascular system dynamics and autonomic nervous system modulation and ventricular repolarization on heart rate and heart rate variability.

KW - Open access version available

M3 - Conference paper

SN - 9781479908844

VL - 40

SP - 1019

EP - 1022

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 -

Detection of cardiac autonomic neuropathy using linear parametric modeling of QT dynamics

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