An Interfacial Gel Electrode Patch with Tunable Hydrogen Bond Network for Electromyographic Sensing and Discrimination

作     者：Jianliang Li Zhihao Liu Yongtao Tang Jiabao Xian Chaofan He Hao Wu Mingjie Liu Fengyu Li 

作者机构：College of Chemistry and Materials ScienceGuangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and ApplicationsSu Bingtian Center for Speed Research and TrainingJinan UniversityGuangzhou 510632 School of ChemistryBeihang UniversityBeijing 100191 

出 版 物：《CCS Chemistry》 (中国化学会会刊（英文）)

年 卷 期：2024年第6卷第2期

页      面：450-464页

核心收录：

学科分类：081702[工学-化学工艺] 08[工学] 0817[工学-化学工程与技术] 

基　　金：supported by the National Natural Science Foundation of China(grant nos.21874056 and 52003103) the National Key R&D Program of China(grant no.2016YFC1100502) 

主　　题：hydrogel electrode hydrogen bond network surface electromyography muscle fatigue artificial neural network gesture recognition 

摘      要：The sensitivity and fidelity of surface electromyography(sEMG)signal monitoring is critical for muscle status and fatigue assessment,prosthetic control,and gesture ***,the incompatible skin-electrode interface and complex electrophysiological environment restrict the sensitive acquisition and accurate analysis of sEMG *** on the impedance of the skin-electrode interface issue,we developed an interfacial gel electrode patch with a tunable hydrogen bond network to simultaneously achieve a conformal interface,suitable adhesion,and high conductivity for sEMG signal *** exploiting hydroxyethylidene diphosphonic acid(HEDP)and 2-hydroxyphosphono-acetic acid(HPAA)as hydrogen bonding regulators were introduced into the polyvinyl alcohol(PVA)-based hydrogel network to regulate the hydrogen bond cross-linking *** a result,the balance of elastic modulus,adhesion,and electrical conductivity of PVA-HEDP-HPAA(PHH)hydrogel are *** reliable electrodeskin interface is manipulated to achieve conformal contact by matching the elastic modulus,reducing the gap of electrode-skin interface by adhesion,and promoting ion and electron conduction by electrical *** PHH electrode patches exhibit a lower interfacial impedance(12.56 kΩ)and a signal-to-noise ratio of 38.09±1.28 dB for accurate analysis of muscle strength and evaluation of the fatigue *** the assistance of the artificial neural network algorithm,seven gestures can be recognized with 100%prediction *** interfacial gel electrode patch contributes a bio-matching electrophysiological platform for prosthetic control,human–machine interaction,and clinical or athletic auxiliary monitoring.