MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue

作者：

Highlights：

• Integrate the CNN, BLSTM and attention models to predict the muscle fatigue detection based on sEMG.

• Combining temporal attention, spatial attention and channel attention in the attention model.

• Solving the cross-subject problem in sEMG signal analysis.

• Interpretability study of the proposed method in sEMG.

摘要

•Integrate the CNN, BLSTM and attention models to predict the muscle fatigue detection based on sEMG.•Combining temporal attention, spatial attention and channel attention in the attention model.•Solving the cross-subject problem in sEMG signal analysis.•Interpretability study of the proposed method in sEMG.

论文关键词：Surface electromyography,Multi-dimensional,Attention network,Muscle fatigue detection

论文评审过程：Received 26 February 2021, Revised 31 May 2021, Accepted 19 July 2021, Available online 30 July 2021, Version of Record 2 August 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115639