Independent Component Analysis of High-Density Electromyography in Muscle Force Estimation

@article{Staudenmann2007IndependentCA,
  title={Independent Component Analysis of High-Density Electromyography in Muscle Force Estimation},
  author={Didier Staudenmann and Andreas Daffertshofer and Idsart Kingma and Dick F. Stegeman and Jaap H. van Die{\"e}n},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2007},
  volume={54},
  pages={751-754}
}
Accurate force prediction from surface electromyography (EMG) forms an important methodological challenge in biomechanics and kinesiology. In a previous study (Staudenmann , 2006), we illustrated force estimates based on analyses lent from multivariate statistics. In particular, we showed the advantages of principal component analysis (PCA) on monopolar high-density EMG (HD-EMG) over conventional electrode configurations. In the present study, we further improve force estimates by exploiting… CONTINUE READING
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