Extract Muscle Synergies from Electromyography
Muscle synergy classification with k-means
Centre of activity
To filter raw EMG
Full width at half maximum
Higuchi's fractal dimension
Hurst exponent
To time-normalise filtered EMG
Plot muscle synergies
Plot 2D UMAP of muscle synergies
Plot EMG averaged across all cycles
Plot raw EMG
Plot muscle synergies (individual trials)
Import RData or ASCII data into R
Short-term maximum Lyapunov exponents
Subset raw EMG
Non-negative matrix factorisation
Provides a framework to factorise electromyography (EMG) data. Tools are provided for raw data pre-processing, non negative matrix factorisation, classification of factorised data and plotting of obtained outcomes. In particular, reading from ASCII files is supported, along with wide-used filtering approaches to process EMG data. All steps include one or more sensible defaults that aim at simplifying the workflow. Yet, all functions are largely tunable at need. Example data sets are included.
Useful links