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Model-Based Detection of Heart Rate Turbulence Using Mean Shape Information

Smith, Danny LU ; Solem, Kristian; Laguna, Pablo; Martinez, Juan Pablo and Sörnmo, Leif LU (2010) In IEEE Transactions on Biomedical Engineering 57(2). p.334-342
Abstract
A generalized likelihood ratio test (GLRT) statistic is proposed for detection of heart rate turbulence (HRT), where a set of Karhunen-Loeve basis functions models HRT. The detector structure is based on the extended integral pulse frequency modulation model that accounts for the presence of ectopic beats and HRT. This new test statistic takes a priori information regarding HRT shape into account, whereas our previously presented GLRT detector relied solely on the energy contained in the signal subspace. 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 results suggesting that the white noise assumption is feasible to... (More)
A generalized likelihood ratio test (GLRT) statistic is proposed for detection of heart rate turbulence (HRT), where a set of Karhunen-Loeve basis functions models HRT. The detector structure is based on the extended integral pulse frequency modulation model that accounts for the presence of ectopic beats and HRT. This new test statistic takes a priori information regarding HRT shape into account, whereas our previously presented GLRT detector relied solely on the energy contained in the signal subspace. 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 results suggesting that the white noise assumption is feasible to pursue. The performance was studied for both simulated and real data, leading to results which show that the new GLRT detector is superior to the original one as well as to the commonly used parameter turbulence slope (TS) on both types of data. Averaging ten ventricular ectopic beats, the estimated detection probability of the new detector, the previous detector, and TS were found to be 0.83, 0.35, and 0.41, respectively, when the false alarm probability was held fixed at 0.1. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Karhunen-Loeve, basis functions, integral pulse frequency modulation (IPFM) model, (HRT), heart rate turbulence, ECG, generalized likelihood ratio test (GLRT)
in
IEEE Transactions on Biomedical Engineering
volume
57
issue
2
pages
334 - 342
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000273764600012
  • scopus:77950359910
ISSN
0018-9294
DOI
10.1109/TBME.2009.2030669
language
English
LU publication?
yes
id
cf0d5c24-428c-4aa2-b439-b6569750e230 (old id 1547301)
date added to LUP
2010-02-24 09:29:08
date last changed
2018-05-29 12:24:10
@article{cf0d5c24-428c-4aa2-b439-b6569750e230,
  abstract     = {A generalized likelihood ratio test (GLRT) statistic is proposed for detection of heart rate turbulence (HRT), where a set of Karhunen-Loeve basis functions models HRT. The detector structure is based on the extended integral pulse frequency modulation model that accounts for the presence of ectopic beats and HRT. This new test statistic takes a priori information regarding HRT shape into account, whereas our previously presented GLRT detector relied solely on the energy contained in the signal subspace. 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 results suggesting that the white noise assumption is feasible to pursue. The performance was studied for both simulated and real data, leading to results which show that the new GLRT detector is superior to the original one as well as to the commonly used parameter turbulence slope (TS) on both types of data. Averaging ten ventricular ectopic beats, the estimated detection probability of the new detector, the previous detector, and TS were found to be 0.83, 0.35, and 0.41, respectively, when the false alarm probability was held fixed at 0.1.},
  author       = {Smith, Danny and Solem, Kristian and Laguna, Pablo and Martinez, Juan Pablo and Sörnmo, Leif},
  issn         = {0018-9294},
  keyword      = {Karhunen-Loeve,basis functions,integral pulse frequency modulation (IPFM) model,(HRT),heart rate turbulence,ECG,generalized likelihood ratio test (GLRT)},
  language     = {eng},
  number       = {2},
  pages        = {334--342},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Biomedical Engineering},
  title        = {Model-Based Detection of Heart Rate Turbulence Using Mean Shape Information},
  url          = {http://dx.doi.org/10.1109/TBME.2009.2030669},
  volume       = {57},
  year         = {2010},
}