Influence of anatomical, physical, and detection-system parameters on surface EMG

By Dario Farina, Corrado Cescon, Roberto Merletti. Biological cybernetics, 2002

374 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/182b63abb17ea3d6864f3c0840d69343fc4d2754

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Dario Farina
2. Ales Holobar
3. Roger M. Enoka
4. Roberto Merletti
5. François Hug
6. S. Dorel

In Cognitive Neuroscience

1. Dario Farina
2. Ales Holobar
3. Roger M. Enoka
4. Roberto Merletti
5. François Hug
6. S. Dorel

Citations in the corpus

• Decoding the neural drive to muscles from the surface electromyogram. (2010, background): “The variability in action potential size among motor units and across conditions has been analyzed in several studies (Farina et al., 2002; Dimitrova and Dimitrov, 2003; Dimitrov et al., 2008).”
• The extraction of neural strategies from the surface EMG: an update. (2014, neutral): “The comparison of EEG-EMG coherence across conditions in which the action potential shapes change substantially, such as fatiguing contractions (21, 23), exercise, or differences in subcutaneous layer thickness (27, 28), should thus be performed with caution.”