Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Heart Rate Turbulence Detection Using Mean Shape Information

In English

Författare

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

Summary, in English

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.

Publiceringsår

2009

Språk

Engelska

Sidor

153-156

Publikation/Tidskrift/Serie

CINC: 2009 36th Annual Computers in Cardiology Conference

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

36th Annual Computers in Cardiology Conference, 2009

Conference date

2009-09-13 - 2009-09-16

Conference place

Park City, UT, United States

Status

Published

Forskningsgrupp

  • Signal Processing

ISBN/ISSN/Övrigt

  • ISSN: 0276-6574