Heart Rate Turbulence Detection Using Mean Shape Information
(2009) 36th Annual Computers in Cardiology Conference, 2009 p.153-156- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1628600
- author
- Smith, Danny LU ; Solem, Kristian LU ; Laguna, P. ; Martinez, J. P. and Sörnmo, Leif LU
- organization
- publishing date
- 2009
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- CINC: 2009 36th Annual Computers in Cardiology Conference
- pages
- 153 - 156
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 36th Annual Computers in Cardiology Conference, 2009
- conference location
- Park City, UT, United States
- conference dates
- 2009-09-13 - 2009-09-16
- external identifiers
-
- wos:000279344300039
- scopus:77952706184
- ISSN
- 0276-6574
- language
- English
- LU publication?
- yes
- id
- a75fcbec-81a8-44d0-95f7-af9dd0f83771 (old id 1628600)
- alternative location
- http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5445446
- date added to LUP
- 2016-04-01 13:43:16
- date last changed
- 2022-01-27 20:37:27
@inproceedings{a75fcbec-81a8-44d0-95f7-af9dd0f83771, 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.}}, author = {{Smith, Danny and Solem, Kristian and Laguna, P. and Martinez, J. P. and Sörnmo, Leif}}, booktitle = {{CINC: 2009 36th Annual Computers in Cardiology Conference}}, issn = {{0276-6574}}, language = {{eng}}, pages = {{153--156}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Heart Rate Turbulence Detection Using Mean Shape Information}}, url = {{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5445446}}, year = {{2009}}, }