Mateus Augusto Schneider Castilhos1,3, Carina Marconi Germer2, Ellen Pereira Zambalde1,3, Leonardo Abdala Elias1,3
1 Department of Electronics and Biomedical Engineering, School of Electrical and Computer Engineering, University of Campinas, Campinas, SP, Brazil
2 Department of Biomedical Engineering, Federal University of Pernambuco, Recife, PE, Brazil
3 Neural Engineering Research Laboratory, Center for Biomedical Engineering, University of Campinas, Campinas, SP, Brazil
These both notebook was developed to teach how the Principal Component Analysis (PCA) and Independent Component Analysis (ICA) works and how them can be used to decompose high-density surface electromyogram (HD sEMG) signals using the well-known FastICA algorithm. These notebooks were presented on November, 3 and 4, 2022 at the "Workshop: Crosstalk and HD EMG Decomposition" organized by the Neural Engineering Research Laboratory, University of Campinas (Brazil).
The presenters:
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