Extracting Muscle Synergy Patterns from EMG Data Using Autoencoders

  title={Extracting Muscle Synergy Patterns from EMG Data Using Autoencoders},
  author={Martin Sp{\"u}ler and Nerea Irastorza-Landa and Andrea Sarasola-Sanz and Ander Ramos-Murguialday},
Muscle synergies can be seen as fundamental building blocks of motor control. Extracting muscle synergies from EMG data is a widely used method in motor related research. Due to the linear nature of the methods commonly used for extracting muscle synergies, those methods fail to represent agonist-antagonist muscle relationships in the extracted synergies. In this paper, we propose to use a special type of neural networks, called autoencoders, for extracting muscle synergies. Using simulated… CONTINUE READING

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
2 Extracted Citations
14 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 14 references

Similar Papers

Loading similar papers…