Real-time flow impedance evaluation method for ultra-fast early detection of aneurysmal diseases

Wong, Yoke Rung and Ong, Chi Wei and Toh, Alyssa LiYu and Lim, Einly and Ho, Pei and Leo, Hwa Liang (2021) Real-time flow impedance evaluation method for ultra-fast early detection of aneurysmal diseases. Biomedical Signal Processing and Control, 64. p. 102256. ISSN 1746-8094, DOI https://doi.org/10.1016/j.bspc.2020.102256.

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Official URL: https://doi.org/10.1016/j.bspc.2020.102256

Abstract

Objective: A novel method to measure the real-time input flow impedance of thoracic aorta aneurysm (TAA) was developed. Methods: The fundamental of real-time input flow impedance was described. The simultaneously measured blood pressure and volumetric flow rate were obtained and used for the calculation. The input flow impedance was then presented in its complexed format: real and imaginary; modulus and phase in the time domain. Results: Unique features of real-time input flow impedance were extracted to correlate with the TAA formation. It showed that the trough of modulus located at the end of each cardiac cycle has different values, which are proportional to the sizes of TAAs. Conclusions: A real-time input flow impedance of the cardiovascular system was presented in this paper. We postulate that the proposed fluid mechanics model has the potential to analyze the pathomechanics of aneurysmal diseases in real-time. © 2020 Elsevier Ltd

Item Type: Article
Funders: Singapore Ministry of Education Tier 1 Grant (R-397-000-266-114), Singapore Ministry of Health's National Medical Research Council under its Centre Grant (NMRC/CG/M011/2017), Surgery Academic Clinical Program Grant (Biomechanics Lab Programme)
Uncontrolled Keywords: Aneurysm; Computational fluid dynamics; Input flow impedance
Subjects: R Medicine
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 03 May 2021 05:52
Last Modified: 03 May 2021 05:52
URI: http://eprints.um.edu.my/id/eprint/25924

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