首页|BioRobotics Institute Reports Findings in Robotics (Restoration of grasping in a n upper limb amputee using the myokinetic prosthesis with implanted magnets)

BioRobotics Institute Reports Findings in Robotics (Restoration of grasping in a n upper limb amputee using the myokinetic prosthesis with implanted magnets)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating in Pisa, Italy, by NewsRx journalists, research stated, “The loss of a hand disrupts the sophisticated ne ural pathways between the brain and the hand, severely affecting the level of in dependence of the patient and the ability to carry out daily work and social act ivities. Recent years have witnessed a rapid evolution of surgical techniques an d technologies aimed at restoring dexterous motor functions akin to those of the human hand through bionic solutions, mainly relying on probing of electrical si gnals from the residual nerves and muscles.” The news reporters obtained a quote from the research from BioRobotics Institute , “Here, we report the clinical implementation of an interface aimed at achievin g this goal by exploiting muscle deformation, sensed through passive magnetic im plants: the myokinetic interface. One participant with a transradial amputation received an implantation of six permanent magnets in three muscles of the residu al limb. A truly self-contained myokinetic prosthetic arm embedding all hardware components and the battery within the prosthetic socket was developed. By retri eving muscle deformation caused by voluntary contraction through magnet localiza tion, we were able to control in real time a dexterous robotic hand following bo th 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 experienc e raised conceptual and technical limits of the interface, which nevertheless pa ve the way for further investigations in a partially unexplored field.”

PisaItalyEuropeEmerging Technologi esHealth and MedicineMachine LearningMedical DevicesProstheticsRobotic sRobotsTechnology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.20)