Electromyography: Physiology, Engineering and Non-Invasive Applications

By G. Madhavan. Annals of Biomedical Engineering, 2005

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Myoelectric forearm prostheses: state of the art from a user-centered perspective. (2011, background): “[18] 2003 FCNN AR4 Nondisabled (1) 80 6† 2 98”
A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue (2011, background): “Merletti and Parker [3] argue that muscle fatigue can be defined as an engineering approach to fatigue, where fatigue develops over time and is progressive, which defines muscle fatigue as all the physiological changes that occur in the muscle before reaching the inability to exert force.”
Electromyographic analysis of pedaling: a review. (2009, background): “Conversely, surface EMG provides information from a large mass of muscle tissue (though the superficial fibers contribute more than deep fibers) and thus is more directly correlated to the mechanical outcome (Frigo and Shiavi, 2004).”
Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces (2008, methodology): “For more information on the state-of-the-art in surface electromyography, see Merletti and Parker [17].”
Enabling always-available input with muscle-computer interfaces (2009, background): “[13].”