Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors-Reference-Cited by-同舟云学术

Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors

Published:2024-03-29 Issue:7 Volume:24 Page:2189
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Zare Ali¹^ORCID,Wittrup Emily¹^ORCID,Najarian Kayvan¹²³⁴^ORCID

Affiliation:

1. Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48103, USA

2. Department of Emergency Medicine, University of Michigan, Ann Arbor, MI 48103, USA

3. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48103, USA

4. Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI 48103, USA

Abstract

Monitoring blood pressure, a parameter closely related to cardiovascular activity, can help predict imminent cardiovascular events. In this paper, a novel method is proposed to customize an existing mechanistic model of the cardiovascular system through feature extraction from cardiopulmonary acoustic signals to estimate blood pressure using artificial intelligence. As various factors, such as drug consumption, can alter the biomechanical properties of the cardiovascular system, the proposed method seeks to personalize the mechanistic model using information extracted from vibroacoustic sensors. Simulation results for the proposed approach are evaluated by calculating the error in blood pressure estimates compared to ground truth arterial line measurements, with the results showing promise for this method.

Funder

Collaborative Safety Research Center at Toyota Motor Engineering & Manufacturing North America, Inc

Publisher

MDPI AG

Link

https://www.mdpi.com/1424-8220/24/7/2189/pdf

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