Evolutionary computation extracts a super sEMG feature to classify localized muscle fatigue during dynamic contractions

MR Al-Mulla - 2012 4th Computer Science and Electronic …, 2012 - ieeexplore.ieee.org
This study developed a new muscle fatigue feature based on sEMG signals. The evolved
feature is combining 11 traditional muscle fatigue sEMG parameters to optimally classify the …
被引用次数：11 相关文章
[PDF] researchgate.net

[PDF][PDF] Evolutionary Computation Extracts a Super sEMG Feature to Classify Localized Muscle Fatigue during Dynamic Contractions

MR Al-Mulla - researchgate.net
This study developed a new muscle fatigue feature based on sEMG signals. The evolved
feature is combining 11 traditional muscle fatigue sEMG parameters to optimally classify the …

Evolutionary computation extracts a super sEMG feature to classify localized muscle fatigue during dynamic contractions

MR Al-Mulla - 2012 4th Computer Science and Electronic … - infona.pl
This study developed a new muscle fatigue feature based on sEMG signals. The evolved
feature is combining 11 traditional muscle fatigue sEMG parameters to optimally classify the …