Motor unit recruitment strategies investigated by surface EMG variables.

By Dario Farina, Mauro Fosci, Roberto Merletti. Journal of applied physiology, 2002

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The extraction of neural strategies from the surface EMG: an update. (2014, unknown): “This approach is compromised, however, by the absence of a physiological distinction between purported motor unit types (25, 31, 34, 35, 100) and the influence of the intracellular action potential shape and of the volume conductor on the surface action potential power spectra (28, 30).”
Surface EMG based muscle fatigue evaluation in biomechanics. (2009, background): “Methods for analyzing fatigue at the single motor unit level relying on non-invasive multichannel recordings and joint use of spatial filtering and spatial sampling are currently under study (Merletti et al., 2003; Farina et al., 2004).”
The extraction of neural strategies from the surface EMG. (2004, unknown): “Moreover, the same control strategy may generate signals with different amplitude trends depending on the locations of the active MUs within the muscle (24).”
Mean and Median Frequency of EMG Signal to Determine Muscle Force based on Time- dependent Power Spectrum (2013, background): “Moreover, in some researches, values of MDF and MNF are unaffected by change in muscle force (independent of the contraction levels) [15]–[17].”