材料科学
超声波传感器
声学
可穿戴计算机
超声波
传感器
压力传感器
噪音(视频)
生物医学工程
计算机科学
人工智能
机械工程
工程类
图像(数学)
物理
嵌入式系统
作者
Mengjiao Qu,Jie Zhou,Dongze Lv,Zexin Wang,Yinfei Zheng,Guojun Zhang,Jin Xie
标识
DOI:10.1016/j.sna.2023.114892
摘要
Ultrasound based methods can assess muscle fatigue by penetrating deep muscles and are not susceptible to electrical noise, but traditional ultrasound probes have bulky size that hinders integration and wearability, making them impractical to continuously monitor muscle status. This paper proposed a wearable probe based on piezoelectric micromachined ultrasonic transducers (PMUTs), where a polymer acoustic lens was incorporated to focus ultrasonic beam and enhance the emitted acoustic pressure (increased by >20%). The fatigue dynamics of upper arm muscles during sustained exertion was investigated by continuously monitoring thickness changes with the PMUTs-based probe, revealing a temporal pattern characterized by swift and subsequent gradual thickening. Several muscle fatigue metrics were derived by piecewise linear fitting, including the initial and secondary deformation rate and the transition time, offering insight into muscle status and fatigue resistance. Additionally, an outlier elimination method for thickness profiles was utilized, mitigating the influence of uncontrollable motion on findings. Leveraging PMUTs technology and acoustic lens integration, this proposed wearable approach holds promise for real-time assessment of muscle fatigue.
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