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Dynamic Loading — A New Marker for Abdominal Aneurysm Growth?

Friesen, John ; Stein, Lucas ; Adili, Farzin ; Pelz, Peter F. (2023)
Dynamic Loading — A New Marker for Abdominal Aneurysm Growth?
In: Medicina, 2023, 59 (2)
doi: 10.26083/tuprints-00023351
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Dynamic Loading — A New Marker for Abdominal Aneurysm Growth?
Language: English
Date: 11 April 2023
Place of Publication: Darmstadt
Year of primary publication: 2023
Publisher: MDPI
Journal or Publication Title: Medicina
Volume of the journal: 59
Issue Number: 2
Collation: 11 Seiten
DOI: 10.26083/tuprints-00023351
Corresponding Links:
Origin: Secondary publication DeepGreen

The growing possibilities of non-invasive heart rate and blood pressure measurement with mobile devices allow vital data to be continuously collected and used to assess patients' health status. When it comes to the risk assessment of abdominal aortic aneurysms (AAA), the continuous tracking of blood pressure and heart rate could enable a more patient-specific approach. The use of a load function and an energy function, with continuous blood pressure, heart rate, and aneurysm stiffness as input parameters, can quantify dynamic load on AAA. We hypothesise that these load functions correlate with aneurysm growth and outline a possible study procedure in which the hypothesis could be tested for validity. Subsequently, uncertainty quantification of input quantities and derived quantities is performed.

Uncontrolled Keywords: aneurysm, aneurysm modeling, pulse tracking
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-233518
Additional Information:

This article belongs to the Special Issue New Perspectives in Vascular and Endovascular Surgery

Classification DDC: 600 Technology, medicine, applied sciences > 610 Medicine and health
Divisions: 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006)
Date Deposited: 11 Apr 2023 11:59
Last Modified: 14 Nov 2023 19:05
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23351
PPN: 509032427
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