Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators

Multichannel Blind Source Separation Using Convolution Kernel Compensation

Aleš Holobar, Damjan Zazula · IEEE Transactions on Signal Processing · 2007 · 634 citations

Blind Separation, Source Separation, Statistical Signal Processing +11

Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation

Francesco Negro, Silvia Muceli, Anna Margherita Castronovo et al. · Journal of Neural Engineering · 2016 · 631 citations · Full text

Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric

Aleš Holobar, M.A. Minetto, Dario Farina · Journal of Neural Engineering · 2014 · 399 citations

The increase in muscle force after 4 weeks of strength training is mediated by adaptations in motor unit recruitment and rate coding

Alessandro Del Vecchio, Francesco Negro, Matteo Scorcelletti et al. · The Journal of Physiology · 2019 · 381 citations · Full text

Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals

Alessandro Del Vecchio, Aleš Holobar, Deborah Falla et al. · Journal of Electromyography and Kinesiology · 2020 · 368 citations · Full text

Electrical Engineering, Electric Machine, Engineering +4