Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Detection of Heart Rate Turbulence Using an Extended IPFM Model

Solem, Kristian LU ; Laguna, Pablo and Sörnmo, Leif LU (2006) Computers in Cardiology, 2006 33. p.905-908
Abstract
In this study, the IPFM model is extended to account

for the presence of ectopic beats and heart rate turbulence

(HRT). Based on the model extension, a new approach to

characterize HRT is presented based on a set of Karhunen-

Loeve (KL) basis functions. The three most significant

basis functions possess attractive physiological interpretations

which reflect the difference in heart rate prior to the

ventricular ectopic beat (VEB) compared to after HRT, an

“average” HRT, and a delayed “average” HRT, respectively.

HRT detection is based on the IPFM model extension,

and involves a test statistic that results from a linear

model. The HRT test... (More)
In this study, the IPFM model is extended to account

for the presence of ectopic beats and heart rate turbulence

(HRT). Based on the model extension, a new approach to

characterize HRT is presented based on a set of Karhunen-

Loeve (KL) basis functions. The three most significant

basis functions possess attractive physiological interpretations

which reflect the difference in heart rate prior to the

ventricular ectopic beat (VEB) compared to after HRT, an

“average” HRT, and a delayed “average” HRT, respectively.

HRT detection is based on the IPFM model extension,

and involves a test statistic that results from a linear

model. The HRT test statistic was studied on patients who

underwent hemodialysis treatment. The goal was to distinguish

between patients considered to be hypotensionresistant

(HtR) and hypotension-prone (HtP). The results

show that the test statistic of the two groups formed two

non-overlapping clusters. The HtR-cluster exhibited much

larger values than did the HtP-cluster (mean values 51 and

2, respectively), suggesting that HRT is mostly present in

HtR patients. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
[Host publication title missing]
volume
33
pages
905 - 908
publisher
Computers in Cardiology
conference name
Computers in Cardiology, 2006
conference location
Valencia, Spain
conference dates
2006-09-17 - 2006-09-20
external identifiers
  • scopus:50149117741
ISSN
0276-6574
language
English
LU publication?
yes
id
21530c78-4127-49e5-aced-d4cb11460aa2 (old id 601269)
date added to LUP
2016-04-01 16:07:15
date last changed
2021-06-30 03:18:56
@inproceedings{21530c78-4127-49e5-aced-d4cb11460aa2,
  abstract     = {In this study, the IPFM model is extended to account<br/><br>
for the presence of ectopic beats and heart rate turbulence<br/><br>
(HRT). Based on the model extension, a new approach to<br/><br>
characterize HRT is presented based on a set of Karhunen-<br/><br>
Loeve (KL) basis functions. The three most significant<br/><br>
basis functions possess attractive physiological interpretations<br/><br>
which reflect the difference in heart rate prior to the<br/><br>
ventricular ectopic beat (VEB) compared to after HRT, an<br/><br>
“average” HRT, and a delayed “average” HRT, respectively.<br/><br>
HRT detection is based on the IPFM model extension,<br/><br>
and involves a test statistic that results from a linear<br/><br>
model. The HRT test statistic was studied on patients who<br/><br>
underwent hemodialysis treatment. The goal was to distinguish<br/><br>
between patients considered to be hypotensionresistant<br/><br>
(HtR) and hypotension-prone (HtP). The results<br/><br>
show that the test statistic of the two groups formed two<br/><br>
non-overlapping clusters. The HtR-cluster exhibited much<br/><br>
larger values than did the HtP-cluster (mean values 51 and<br/><br>
2, respectively), suggesting that HRT is mostly present in<br/><br>
HtR patients.},
  author       = {Solem, Kristian and Laguna, Pablo and Sörnmo, Leif},
  booktitle    = {[Host publication title missing]},
  issn         = {0276-6574},
  language     = {eng},
  pages        = {905--908},
  publisher    = {Computers in Cardiology},
  title        = {Detection of Heart Rate Turbulence Using an Extended IPFM Model},
  url          = {https://lup.lub.lu.se/search/files/4573704/622036.pdf},
  volume       = {33},
  year         = {2006},
}