High-density Surface EMG Denoising using Independent Vector Analysis

IEEE Transactions on Neural Systems and Rehabilitation Engineering, pp. 1271-1281, 2020.

Cited by: 0|Bibtex|Views48|DOI:https://doi.org/10.1109/TNSRE.2020.2987709
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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com

Abstract:

High-density surface electromyography (HD-sEMG) can provide rich temporal and spatial information about muscle activation. However, HD-sEMG signals are often contaminated by power line interference (PLI) and white Gaussian noise (WGN). In the literature, independent component analysis (ICA) and canonical correlation analysis (CCA), as two...More

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