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Heart Rate Turbulence Detection Using Mean Shape Information

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Author

  • 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.

Publishing year

2009

Language

English

Pages

153-156

Publication/Series

CINC: 2009 36th Annual Computers in Cardiology Conference

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • 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

Research group

  • Signal Processing

ISBN/ISSN/Other

  • ISSN: 0276-6574