Abstract
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.
Original language | English |
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Title of host publication | CINC: 2009 36th Annual Computers in Cardiology Conference |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 153-156 |
Publication status | Published - 2009 |
Event | 36th Annual Computers in Cardiology Conference, 2009 - Pk City, UT, Park City, UT, United States Duration: 2009 Sept 13 → 2009 Sept 16 Conference number: 36 |
Publication series
Name | |
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ISSN (Print) | 0276-6574 |
Conference
Conference | 36th Annual Computers in Cardiology Conference, 2009 |
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Abbreviated title | CinC 2009 |
Country/Territory | United States |
City | Park City, UT |
Period | 2009/09/13 → 2009/09/16 |
Subject classification (UKÄ)
- Electrical Engineering, Electronic Engineering, Information Engineering