Document Detail


Beat-to-beat Adaptation of QT Interval to Heart Rate.
MedLine Citation:
PMID:  17282739     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
An adaptive approach is presented to investigate the QT interval response to heart rate variations on a beat-to-beat basis. The relationship between the QT interval and the RR interval is modelled by considering a time-variant system composed of a linear filter followed by a zero-memory nonlinearity approximated by a Taylor expansion. The linear portion describes the influence of previous RR intervals on each QT measurement, while the nonlinear portion expresses how the QT values evolve as a function of the averaged RR measurement at the output of the linear filter. For identification of the unknown system, a Kalman-based procedure is developed that simultaneously estimates all the parameters of the global system. The methodology has been first tested over artificially generated data, showing very good agreement between estimated and theoretical values. Results on data measured over real ECG recordings confirm that the QT interval response is delayed with respect to the RR interval, specially for decelerating heart rate changes. It is also shown that the beat-to-beat evolution of the nonlinearity coefficients is considerably altered when abrupt rate variations occur.
Authors:
Esther Pueyo; Marek Malik; Pablo Laguna
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference     Volume:  3     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2005  
Date Detail:
Created Date:  2007-02-06     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2475-8     Citation Subset:  -    
Affiliation:
Communications Technology Group (GTC) at the Aragón Institute for Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain epueyo@unizar.es.
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