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A novel technique to investigate the effect of ageing on ventricular repolarization characteristics in healthy and LQTS subjects

Imam, Mohammad H., Karmakar, Chandan K., Palanaiswami, M. and Khandoker, Ahsan H. 2015, A novel technique to investigate the effect of ageing on ventricular repolarization characteristics in healthy and LQTS subjects, in EMBC 2015 : Proceedings of the IEEE Engineering in Medicine and Biology Society Annual International Conference, IEEE, Piscataway, N.J., pp. 2796-2799, doi: 10.1109/EMBC.2015.7318972.

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Title A novel technique to investigate the effect of ageing on ventricular repolarization characteristics in healthy and LQTS subjects
Author(s) Imam, Mohammad H.
Karmakar, Chandan K.
Palanaiswami, M.
Khandoker, Ahsan H.
Conference name Engineering in Medicine and Biology Society. Conference (37th : 2015 : Milan, Italy)
Conference location Milan, Italy
Conference dates 25-29 Aug. 2015
Title of proceedings EMBC 2015 : Proceedings of the IEEE Engineering in Medicine and Biology Society Annual International Conference
Publication date 2015
Start page 2796
End page 2799
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Ventricular repolarization(VR) characteristics is affected by ageing alongside several other factors like Heart rate(HR),respiration, modulation of autonomic nervous system, different drug effects, genetical factors affecting the cardiac ion channel characteristics, gender etc. Therefore, total VR variability (i.e. QT interval variability in surface ECG) consists of two components: one dependent on HR variability (HRV) and another independent of HRV. Analysis of QT interval variability (QTV) is crucial for both healthy and pathological conditions as increase in VR variability measured by QTV increases cardiac repolarization instability, which might lead to arrhythmogenesis. Analyzing the effect of ageing using a widely used measure of QTV (i.e. QTVI) is reported inconsistently in Healthy subjects whereas the same for Long QT Syndrome (LQTS) subjects is not widely reported. In this study, we propose a novel time domain measure from beat-tobeat QT-RR distribution to analyze how ageing affects VR in both Healthy and a group of genotyped LQTS1 subjects. A total of 139 Healthy subjects and 134 LQTS1 subjects of three different age groups (i.e. Young: age 20-35, Middle-aged: 40-55 and Old: age<;60) were analyzed for this study. The proposed measure is also compared with other existing widely used measures of QTV like SDQT and QTVI in differentiating different age groups. The proposed measure stands out to be more discriminatory than other existing variability measures of QT interval.
Notes Poster presentation.
ISSN 1557-170X
Language eng
DOI 10.1109/EMBC.2015.7318972
Field of Research 110201 Cardiology (incl Cardiovascular Diseases)
Socio Economic Objective 920103 Cardiovascular System and Diseases
HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30081454

Document type: Conference Paper
Collection: Centre for Pattern Recognition and Data Analytics
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