A patterned mechanical–electrical coupled sensing patch for multimodal muscle function evaluation

IF 22.7 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Infomat Pub Date : 2024-10-03 DOI:10.1002/inf2.12631
Jiangtao Xue, Yang Zou, Zhirong Wan, Minghao Liu, Yiqian Wang, Huaqing Chu, Puchuan Tan, Li Wu, Engui Wang, Han Ouyang, Yulin Deng, Zhou Li
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引用次数: 0

Abstract

Muscles, the fundamental components supporting all human movement, exhibit various signals upon contraction, including mechanical signals indicating tremors or mechanical deformation and electrical signals responsive to muscle fiber activation. For noninvasive wearable devices, these signals can be measured using surface electromyography (sEMG) and force myography (FMG) techniques, respectively. However, relying on a single source of information is insufficient for a comprehensive evaluation of muscle condition. In order to accurately and effectively evaluate the various states of muscles, it is necessary to integrate sEMG and FMG in a spatiotemporally synchronized manner. This study presents a flexible sensor for multimodal muscle state monitoring, integrating serpentine-structured sEMG electrodes with fingerprint-like FMG sensors into a patch approximately 250 μm thick. This design achieves a multimodal assessment of muscle conditions while maintaining a compact form factor. A thermo-responsive adhesive hydrogel is incorporated to enhance skin adhesion, improving the signal-to-noise ratio of the sEMG signals (33.07 dB) and ensuring the stability of the FMG sensor during mechanical deformation and tremors. The patterned coupled sensing patch demonstrates its utility in tracking muscular strength, assessing fatigue levels, and discerning features of muscle dysfunction by analyzing the time-domain and frequency-domain characteristics of the mechanical–electrical coupled signals, highlighting its potential application in sports training and rehabilitation monitoring.

Abstract Image

一种用于多模态肌肉功能评估的机械-电耦合传感贴片
肌肉是支持人体所有运动的基本组成部分,在收缩时表现出各种信号,包括表明震颤或机械变形的机械信号和响应肌纤维激活的电信号。对于非侵入式可穿戴设备,这些信号可以分别使用表面肌电图(sEMG)和力肌图(FMG)技术来测量。然而,依靠单一的信息来源是不足以全面评估肌肉状况的。为了准确有效地评估肌肉的各种状态,有必要将表面肌电信号和肌动图进行时空同步的整合。该研究提出了一种用于多模态肌肉状态监测的柔性传感器,将蛇形结构的表面肌电信号电极与类似指纹的FMG传感器集成到约250 μm厚的贴片中。这种设计实现了对肌肉状况的多模式评估,同时保持了紧凑的外形因素。采用热响应黏附水凝胶增强皮肤黏附,提高表面肌电信号的信噪比(33.07 dB),确保FMG传感器在机械变形和震动时的稳定性。该贴片通过分析机电耦合信号的时域和频域特征,展示了其在跟踪肌肉力量、评估疲劳程度和识别肌肉功能障碍特征方面的实用性,突出了其在运动训练和康复监测方面的潜在应用。
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来源期刊
Infomat
Infomat MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
37.70
自引率
3.10%
发文量
111
审稿时长
8 weeks
期刊介绍: InfoMat, an interdisciplinary and open-access journal, caters to the growing scientific interest in novel materials with unique electrical, optical, and magnetic properties, focusing on their applications in the rapid advancement of information technology. The journal serves as a high-quality platform for researchers across diverse scientific areas to share their findings, critical opinions, and foster collaboration between the materials science and information technology communities.
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