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.
|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|
|Number of pages||4|
|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 Sep 2013 → 25 Sep 2013
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6695807 (Conference proceedings)
https://web.archive.org/web/20130825093106/http://cinc2013.org/ (Conference website)
|Conference||40th Computing in Cardiology Conference, CinC 2013|
|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.|
Imam, M. H., 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, pp. 1019-1022). IEEE, Institute of Electrical and Electronics Engineers.