Restoration of grasping in an upper limb amputee using the myokinetic prosthesis with implanted magnets

Author:

Gherardini Marta12ORCID,Ianniciello Valerio12ORCID,Masiero Federico12ORCID,Paggetti Flavia12,D’Accolti Daniele12ORCID,La Frazia Eliana12ORCID,Mani Olimpia3ORCID,Dalise Stefania4ORCID,Dejanovic Katarina12ORCID,Fragapane Noemi4ORCID,Maggiani Luca4ORCID,Ipponi Edoardo3,Controzzi Marco12ORCID,Nicastro Manuela5ORCID,Chisari Carmelo4ORCID,Andreani Lorenzo3ORCID,Cipriani Christian12ORCID

Affiliation:

1. BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy.

2. Department of Excellence in Robotics and AI, Scuola Superiore Sant’Anna, Pisa, Italy.

3. Orthopaedics and Traumatology Unit, University Hospital of Pisa, Pisa, Italy.

4. Neurorehabilitation Unit, University Hospital of Pisa, Pisa, Italy.

5. Orthopaedic and Burn Centre Anaesthesiology and Reanimation, University Hospital of Pisa, Pisa, Italy.

Abstract

The loss of a hand disrupts the sophisticated neural pathways between the brain and the hand, severely affecting the level of independence of the patient and the ability to carry out daily work and social activities. Recent years have witnessed a rapid evolution of surgical techniques and technologies aimed at restoring dexterous motor functions akin to those of the human hand through bionic solutions, mainly relying on probing of electrical signals from the residual nerves and muscles. Here, we report the clinical implementation of an interface aimed at achieving this goal by exploiting muscle deformation, sensed through passive magnetic implants: the myokinetic interface. One participant with a transradial amputation received an implantation of six permanent magnets in three muscles of the residual limb. A truly self-contained myokinetic prosthetic arm embedding all hardware components and the battery within the prosthetic socket was developed. By retrieving muscle deformation caused by voluntary contraction through magnet localization, we were able to control in real time a dexterous robotic hand following both a direct control strategy and a pattern recognition approach. In just 6 weeks, the participant successfully completed a series of functional tests, achieving scores similar to those achieved when using myoelectric controllers, a standard-of-care solution, with comparable physical and mental workloads. This experience raised conceptual and technical limits of the interface, which nevertheless pave the way for further investigations in a partially unexplored field. This study also demonstrates a viable possibility for intuitively interfacing humans with robotic technologies.

Publisher

American Association for the Advancement of Science (AAAS)

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