2134/9114473.v1 Massimiliano Zecca Massimiliano Zecca S Micera S Micera MC Carrozza MC Carrozza P Dario P Dario Control of multifunctional prosthetic hands by processing the electromyographic signal Loughborough University 2019 Artificial Limbs Biomechanical Phenomena Electromyography Hand Hand Strength Humans Movement Prosthesis Design Signal Processing, Computer-Assisted Biomedical Engineering Electromyographic (EMG) signal EMG-based control Hand prosthesis 2019-08-06 11:06:28 Journal contribution https://repository.lboro.ac.uk/articles/journal_contribution/Control_of_multifunctional_prosthetic_hands_by_processing_the_electromyographic_signal/9114473 The human hand is a complex system, with a large number of degrees of freedom (DoFs), sensors embedded in its structure, actuators and tendons, and a complex hierarchical control. Despite this complexity, the efforts required to the user to carry out the different movements is quite small (albeit after an appropriate and lengthy training). On the contrary, prosthetic hands are just a pale replication of the natural hand, with significantly reduced grasping capabilities and no sensory information delivered back to the user. Several attempts have been carried out to develop multifunctional prosthetic devices controlled by electromyographic (EMG) signals (myoelectric hands), harness (kinematic hands), dimensional changes in residual muscles, and so forth, but none of these methods permits the "natural" control of more than two DoFs. This article presents a review of the traditional methods used to control artificial hands by means of EMG signal, in both the clinical and research contexts, and introduces what could be the future developments in the control strategy of these devices.