电阻抗肌电图 (EIM) 的进步与挑战:技术发展、运动健康应用和未来方向的全面概述

IF 6.9 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Pan Xu;Junwei Zhou;Zhizhang David Chen;Xudong Yang;Hongli Yan;Željka Lučev Vasić;Mario Cifrek;Sio Hang Pun;Mang I Vai;Yueming Gao
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引用次数: 0

摘要

电阻抗肌电图(EIM)是一种创新的非侵入性技术,为局部外源性电生理记录提供了一种便捷的方法。通过测量肌肉阻抗参数,这种方法可以描述肌肉的生理状态,作为肌肉收缩能力、损伤和神经肌肉疾病进展的生物标志物。本文概述了 EIM 技术的发展现状,以及建模和数据分析方法,重点是其应用要求。它进一步突出了 EIM 在运动健康领域的研究进展,强调了它在识别损伤和监测伤口愈合方面的功效,并讨论了现有技术的局限性。此外,本文还探讨了未来的研究方向。作为体育活动中的瞬态生物传感器,EIM 在运动健康领域具有巨大潜力。它有望替代侵入性和昂贵的临床评估方法,成为专业运动员和健身爱好者可行的个人监测工具。然而,解决技术难题和建立行业标准实施计划是 EIM 发展成为标准临床评估工具的必要前提。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancements and Challenges in Electrical Impedance Myography (EIM): A Comprehensive Overview of Technology Development, Applications in Sports Health, and Future Directions
ElectricalImpedance Myography (EIM) is an innovative, non-invasive technique offering a convenient means of localized exogenous electrophysiological recording. By measuring muscle impedance parameters, this method characterizes the physiological state of muscles, functioning as a biomarker for muscle contractility, injuries, and the progression of neuromuscular diseases. This paper provides an overview of the current state of EIM technology development, along with modeling and data analysis methods, focusing on their application requirements. It further highlights the advancements in EIM research within the realm of sports health, emphasizing its efficacy in identifying injuries and monitoring wound healing, and discusses existing technological limitations. Additionally, the paper explores future research directions. Serving as a transient biosensor during physical activity, EIM holds significant potential in sports health. It presents a promising alternative to invasive and costly clinical assessment methods, positioning itself as a viable personal monitoring tool for both professional athletes and fitness enthusiasts. Nevertheless, the resolution of technical challenges and the establishment of industry-standard implementation programs are essential prerequisites for EIM to evolve into a standard clinical assessment tool.
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来源期刊
CiteScore
10.70
自引率
0.00%
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