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.