1. Blana, D., Krasoulis, A., Nazarpour, K., Chadwick, E.: Control of a robotic hand with an EMG-driven, real-time biomechanical computer model. In: 8th World Congress of Biomechanics. Newcastle University (2018)
2. Bulea, T.C., Kilicarslan, A., Ozdemir, R., Paloski, W.H., Contreras-Vidal, J.L.: Simultaneous scalp electroencephalography (EEG), electromyography(EMG), and whole-body segmental inertial recording for multi-modal neural decoding. J. Vis. Exp. 26, e50602 (2013).
https://doi.org/10.3791/50602
.
http://www.jove.com/video/50602
3. Chan, A.D.C., Green, G.C.: Myoelectric control development toolbox. In: 30th Conference on Canadian Medical Biological Engineering Society, Toronto, Canada, pp. 1–4 (2007).
http://www.sce.carleton.ca/faculty/chan/matlab/myoelectriccontroldevelopmenttoolbox.pdf
4. Chowdhury, R.H., Bin, M., Reaz, I., Alauddin, M., Ali, M., Bakar, A.A.A.: Surface electromyography signal processing and classification techniques. Sensors 13, 12431–12466 (2013).
https://doi.org/10.3390/s130912431
.
http://www.mdpi.com/journal/sensors
5. Graupe, D., Magnussen, J., Beex, A.: A microprocessor system for multifunctional control of upper-limb prostheses via myoelectric signal identification. IEEE Trans. Autom. Control 23(4), 538–544 (1978).
https://doi.org/10.1109/TAC.1978.1101783