Arteriosclerosis detection method based on oscillometric upper-arm cuff pressure wave
10.3969/j.issn.1005-202X.2025.08.015
- VernacularTitle:基于上臂袖带压力波的动脉硬化检测方法
- Author:
Ziqi ZHANG
1
;
Yumin LI
1
;
Jianqing LI
1
;
Chengyu LIU
1
Author Information
1. 东南大学仪器科学与工程学院/数字医学工程全国重点实验室,江苏 南京 210096
- Publication Type:Journal Article
- Keywords:
upper-arm cuff pressure wave;
arteriosclerosis;
pulse wave;
pulse decomposition analysis;
Gaussian process regression
- From:
Chinese Journal of Medical Physics
2025;42(8):1079-1085
- CountryChina
- Language:Chinese
-
Abstract:
Objective To present an assessment method based on oscillometric upper-arm cuff pressure wave for realizing home-based detection of arteriosclerosis.Methods An upper-arm cuff pressure wave acquisition device based on an electronic blood pressure monitor was designed to implement data collection for cuff inflation and deflation,as well as the 15 s pressure holding phase.Following preprocessing of the data collected during this holding phase,individual pulse waves were extracted for pulse decomposition analysis(PDA).A novel model that superimposed a logarithmic normal function with two Gaussian functions,and an optimization method that combined template matching and particle swarm optimization were proposed to efficiently and accurately extract PDA features.Gaussian process regression was employed for multifeature fusion analysis,leading to the proposal of a new predictive indicator for arteriosclerosis.Results The mean absolute error of PDA was less than 1.2%,and the average processing time for a single pulse wave was less than 0.2 s.The regression determination coefficient R2 between the obtained indicators and baPWV was 0.8178.Conclusion The analysis on upper-arm cuff pressure wave provides a new reference for non-invasive arteriosclerosis detection,and it can be applied to electronic blood pressure monitors for home-based monitoring,offering significant practical value.
