:sEMG

Alvaro Costa-Garcia1, Shingo Shimoda2, Akihiko Murai1

  • 1Research Institute on Human and Societal Augmentation, National Institute of Advanced Industrial Science and Technology (AIST), Kashiwa, Chiba, Japan.

PloS one
|June 12, 2025
PubMed
概括

本研究介绍了一种模拟表面肌电图 (sEMG) 信号的计算模型. 该模型准确地复制真实sEMG数据,将肌肉纤维类型与信号特征联系起来,以便更好地了解神经肌肉控制.