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Research into brain-machine interfaces is beginning to be published. Brain-machine interface is based on the concept of translating neural activity into control of an external device with the capability of producing natural movements. Just one study has been published which examined two 96-channel intracortical microelectrodes implanted into the motor cortex of a patient (Collinger et al. 2013).

Finally, there have been initial studies on exoskeleton robots (controlled by electromyographical signals (EMGs) of the user) (Ueda et al. 2010), the five degree of freedom user command controller (Scott & Vare 2013) and the use of robotic training for improving hand and upper limb control (Cortes et al. 2013; Zariffa et al. 2012b).