Issue |
MATEC Web Conf.
Volume 309, 2020
2019 International Conference on Computer Science Communication and Network Security (CSCNS2019)
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Article Number | 03038 | |
Number of page(s) | 6 | |
Section | Smart Algorithms and Recognition | |
DOI | https://doi.org/10.1051/matecconf/202030903038 | |
Published online | 04 March 2020 |
A non-invasive blood viscosity detecting method based on pulse wave
Nanjing University of Posts and Telecommunications Nanjing, China
* Corresponding author: 1021829022@qq.com
A non-invasive blood viscosity detection method based on pulse wave is proposed. The method establishes a relationship equation between blood viscosity and peripheral resistance, arterial compliance, and pulse wave waveform characteristics by extracting characteristic parameters of human pulse wave. According to the blood viscosity model established by linear regression analysis, the human blood viscosity value is estimated to achieve non-invasive blood viscosity detection. The experimental results show that the blood using this method. The viscosity is in good agreement with the blood viscosity values measured by the blood viscometer.
Key words: Non-invasive blood viscosity / Pulse wave characteristic parameter / Linear regression
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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