Robust computation of pulse pressure variations
Soltesz, Kristian LU
(2018)
In Biomedical Signal Processing and Control
39.
p.197-203
- Abstract
- Evidence of arterial pulse pressure variations caused by cardio-pulmonary interactions, and their connection to volume status via the Frank–Starling relationship, are well documented in the literature. Computation of pulse pressure variations from arterial pressure measurements is complicated by the fact that systolic and diastolic peaks are not evenly spaced in time. A robust, structurally uncomplicated, and computationally cheap algorithm, specifically addressing this fact, is presented. The algorithm is based on the Lomb–Scargle spectral density estimator, and ordinary least squares fitting. It is introduced using illustrative examples, and successfully demonstrated on a challenging porcine data set.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/f5b25306-d012-43f3-9c17-662f8f655e5e
- author
- Soltesz, Kristian
LU
- organization
- publishing date
- 2018
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Pulse pressure variation, Arterial blood pressure, Nonuniform sampling, Frequency estimation
- in
- Biomedical Signal Processing and Control
- volume
- 39
- pages
- 197 - 203
- publisher
- Elsevier
- external identifiers
-
- scopus:85026901068
- ISSN
- 1746-8094
- DOI
- 10.1016/j.bspc.2017.07.021
- project
- Hemodynamic Stabilization
- language
- English
- LU publication?
- yes
- id
- f5b25306-d012-43f3-9c17-662f8f655e5e
- date added to LUP
- 2017-08-04 06:32:00
- date last changed
- 2022-03-24 20:12:49
@article{f5b25306-d012-43f3-9c17-662f8f655e5e,
abstract = {{Evidence of arterial pulse pressure variations caused by cardio-pulmonary interactions, and their connection to volume status via the Frank–Starling relationship, are well documented in the literature. Computation of pulse pressure variations from arterial pressure measurements is complicated by the fact that systolic and diastolic peaks are not evenly spaced in time. A robust, structurally uncomplicated, and computationally cheap algorithm, specifically addressing this fact, is presented. The algorithm is based on the Lomb–Scargle spectral density estimator, and ordinary least squares fitting. It is introduced using illustrative examples, and successfully demonstrated on a challenging porcine data set.}},
author = {{Soltesz, Kristian}},
issn = {{1746-8094}},
keywords = {{Pulse pressure variation; Arterial blood pressure; Nonuniform sampling; Frequency estimation}},
language = {{eng}},
pages = {{197--203}},
publisher = {{Elsevier}},
series = {{Biomedical Signal Processing and Control}},
title = {{Robust computation of pulse pressure variations}},
url = {{https://lup.lub.lu.se/search/files/29631253/soltesz17b.pdf}},
doi = {{10.1016/j.bspc.2017.07.021}},
volume = {{39}},
year = {{2018}},
}