肌电图
信号(编程语言)
计算机科学
电极
噪音(视频)
生物医学工程
数据采集
人工智能
物理医学与康复
医学
化学
物理化学
图像(数学)
程序设计语言
操作系统
作者
Lian Cheng,Jun Li,Aike Guo,Jianhua Zhang
标识
DOI:10.1038/s41528-023-00273-0
摘要
Abstract Surface electromyography (sEMG) is used to detect and analyze human muscle biopotential. Recently, flexible noninvasive electrodes (FNEs) have emerged to extract bioelectrical signals from individual bodies. For FNEs to be deployed as a central component of physiological signal acquisition, the quest for elevated signal-to-noise ratio and density is compelling owing to the small amplitude of sEMG. Herein, we review recent progress in FNEs for sEMG acquisition. We summarize the needed properties of FNEs, compare the differences between passive electrodes and active electrodes and exemplify applications of FNEs. We also conclude the current challenges and future opportunities in sEMG acquisition.
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