刚度
动脉硬化
即时
生物医学工程
材料科学
医学
血压
内科学
复合材料
物理
量子力学
作者
Fang Wang,Heng Yang,Ke Sun,Yi Sun,Xinxin Li
标识
DOI:10.1109/mems49605.2023.10052429
摘要
This paper reports an innovative, non-invasive and instant method of arterial stiffness measurement. We delineate the tactile signals of arteries with varying stiffness using a dense sensor array, and analyze the factors affecting human tactility of stiffness and softness at fingertip with a deep learning model. Based on the most influential factor, an algorithm to instantaneously estimate the arterial stiffness is developed for the first time. The five stiffness grades ranked in order of the stiffness index (SI) may serve as an indicator of arterial aging and are expected to assist in early screening for certain cardiovascular diseases (CVD).
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