Neuroprosthetic technology offers hope for upper limb amputees

Researchers from the University of Michigan (MI, USA) have developed a novel neuroprosthetic model involving muscle grafts with machine-learning algorithms, which allowed for ultra-precise movements in a prosthetic hand. This technology is considered to be a major advance in motor control for amputees and could significantly enhance quality of life for individuals with upper limb loss. Peripheral nerve interfaces control neuroprosthetics by registering nerve signals in the remaining limb and translating them into movements. This allows individuals who have lost limbs to intuitively control prosthetic replacements. However, one of the biggest challenges in mind-controlled prosthetics is establishing a strong and...