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Different hand positions of the prosthetic hand. The prosthetic hand uses signals from electrodes (arrow) and machine learning to copy hand positions (Credit: Hiroshima University Biological Systems Engineering Lab.)
A new 3D-printed prosthetic hand can learn the wearers’ movement patterns to help amputee patients perform daily tasks, reports a study published this week in Science Robotics.
Losing a limb, either through illness or accident, can present emotional and physical challenges for an amputee, damaging their quality of life. Prosthetic limbs can be very useful but are often expensive and difficult to use. The Biological Systems Engineering Lab at Hiroshima University has developed a new 3D printed prosthetic hand combined with a computer interface, which is their cheapest, lightest model that is more reactive to motion intent than before. Previous generations of their prosthetic hands have been made of metal, which is heavy and expensive to make.
Full bibliographic information
Journal: Science Robotics
Title: A myoelectric prosthetic hand with muscle synergy-based motion determination and impedance model-based biomimetic control
Authors: Furui, A., Eto, S., Nakagaki, K., Shimada, K., Nakamura, G., Masuda, A., Chin,T., and Tsuji, T.
Research Planning Office, Hiroshima University
By Emma Buchet
Originally Published on June 27, 2019