Heart Rate Turbulence Detection Using Mean Shape Information

Danny Smith, Kristian Solem, P. Laguna, J. P. Martinez, Leif Sörnmo

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review


In this study, we propose a generalized likelihood ratio test statistic for detection of heart rate turbulence (HRT) based on a linear signal model. The new test statistic, which expands our previous original detector; takes a priori information regarding HRT shape into account. The detector structure is based on the extended integral pulse frequency modulation model which accounts for the presence of ectopic beats and HRT The spectral relationship between heart rate variability (HRV) and HRT is investigated for the purpose of modeling HRV "noise" present during the turbulence period. The performance was studied for both simulated data and real data obtained from the Long-Term ST database. The results show that the new detector is superior to the original one as well as to the commonly used parameter turbulence slope (TS) on both types of data.
Titel på värdpublikationCINC: 2009 36th Annual Computers in Cardiology Conference
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
StatusPublished - 2009
Evenemang36th Annual Computers in Cardiology Conference, 2009 - Pk City, UT, Park City, UT, USA
Varaktighet: 2009 sep. 132009 sep. 16
Konferensnummer: 36


ISSN (tryckt)0276-6574


Konferens36th Annual Computers in Cardiology Conference, 2009
Förkortad titelCinC 2009
OrtPark City, UT

Ämnesklassifikation (UKÄ)

  • Elektroteknik och elektronik


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