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 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.
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.
| Original language | English |
|---|---|
| Title of host publication | [Host publication title missing] |
| Publisher | Computers in Cardiology |
| Pages | 905-908 |
| Volume | 33 |
| Publication status | Published - 2006 |
| Event | Computers in Cardiology, 2006 - Valencia, Spain Duration: 2006 Sept 17 → 2006 Sept 20 |
Publication series
| Name | |
|---|---|
| Volume | 33 |
| ISSN (Print) | 0276-6574 |
Conference
| Conference | Computers in Cardiology, 2006 |
|---|---|
| Country/Territory | Spain |
| City | Valencia |
| Period | 2006/09/17 → 2006/09/20 |
Subject classification (UKÄ)
- Electrical Engineering, Electronic Engineering, Information Engineering