<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Qibei Gong</style></author><author><style face="normal" font="default" size="100%">Jiang, Xijun</style></author><author><style face="normal" font="default" size="100%">Liu, Yuxuan</style></author><author><style face="normal" font="default" size="100%">Min Yu</style></author><author><style face="normal" font="default" size="100%">Hu, Youfan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Flexible Wireless sEMG System for Wearable Muscle Strength and Fatigue Monitoring in Real Time</style></title><secondary-title><style face="normal" font="default" size="100%">Advanced Electronic Materials</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">flexible systems</style></keyword><keyword><style  face="normal" font="default" size="100%">frequency-domain features</style></keyword><keyword><style  face="normal" font="default" size="100%">muscle fatigue</style></keyword><keyword><style  face="normal" font="default" size="100%">muscle strength</style></keyword><keyword><style  face="normal" font="default" size="100%">sEMG</style></keyword><keyword><style  face="normal" font="default" size="100%">time-domain features</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://onlinelibrary.wiley.com/doi/abs/10.1002/aelm.202200916</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">9</style></number><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">2200916</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Abstract The detection of surface electromyography (sEMG) signals on the skin has attracted increasing attention because of its ability to monitor muscle conditions in a noninvasive manner and thus possesses great application potential to assess athletic status and training efficiency in real time or to evaluate postoperative muscle rehabilitation conveniently. Here, a flexible wireless sEMG monitoring system that consists of a stretchable sEMG epidermal patch and a flexible printed circuit board to provide real-time evaluation of muscle strength and fatigue is reported. The epidermal patch is designed to have good stretchability and permeability and optimized to ensure a low contact impedance with the skin and minimized background noise for sEMG signal acquisition with high fidelity. Six commonly used time-domain and two frequency-domain features extracted from sEMG signals are systematically analyzed, and a strategy for feature selection and pattern identification is proposed that eventually enables the real-time assessment of muscle strength and fatigue by using an integrated system in a wearable form.</style></abstract></record></records></xml>