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https://doi.org/10.1016/j.bspc.2020.102256
Title: | Real-time flow impedance evaluation method for ultra-fast early detection of aneurysmal diseases | Authors: | Wong, YR Ong, CW Toh, ALY Lim, E Ho, P Leo, HL |
Issue Date: | 1-Feb-2021 | Publisher: | Elsevier BV | Citation: | Wong, YR, Ong, CW, Toh, ALY, Lim, E, Ho, P, Leo, HL (2021-02-01). Real-time flow impedance evaluation method for ultra-fast early detection of aneurysmal diseases. Biomedical Signal Processing and Control 64 : 102256-102256. ScholarBank@NUS Repository. 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. | Source Title: | Biomedical Signal Processing and Control | URI: | https://scholarbank.nus.edu.sg/handle/10635/207036 | ISSN: | 17468094 17468108 |
DOI: | 10.1016/j.bspc.2020.102256 |
Appears in Collections: | Elements Staff Publications |
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Real-time flow impedance evaluation method for ultra-fast early detection of aneurysmal diseases.pdf | Published version | 3.55 MB | Adobe PDF | CLOSED | Published |
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