NDLI: A parametric model approach for quantification of short term QT variability uncorrelated with heart rate variability

Content Provider	IEEE Xplore Digital Library
Author	Almeida, R. Pueyo, E. Martinez, J.P. Rocha, A.P. Olmos, S. Laguna, P.
Copyright Year	2003
Description	Author affiliation: Dep. de Matematica Aplicada, Porto Univ., Portugal (Almeida, R.)
Abstract	In this work we propose to assess the relation between HRV and QTV measured by an automatic delineator. A low order linear autoregressive model on RR versus QT interactions was used to explore short term relations and quantify the fractions of QTV correlated and not correlated with HRV. Power spectral density measures were estimated from the total QTV and from the two separated fractions using the proposed model. Simulated RR and QT series were used to quantify the error bounds associated to the method performance. ECG records of young normal subjects were processed to obtain the RR and QT series. The high QTV fraction not correlated with RR found in these records (over 40% in 98% of the segments) indicates that an important part of QTV can be driven by other factors rather than by heart rate, and may contain complementary information.
Sponsorship	European Soc. of Cardiology Nat. Inst. of Health, USA
Starting Page	165
Ending Page	168
File Size	273929
Page Count	4
File Format	PDF
ISBN	078038170X
ISSN	02766547
DOI	10.1109/CIC.2003.1291116
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-21
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parametric statistics Heart rate variability Virtual reality Heart rate interval Electrocardiography Heart rate Frequency Density measurement Power measurement Fluctuations
Content Type	Text
Resource Type	Article

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