Tech & Gadgets

Discover how brain signals control bionic limbs

Recent advances in bionic limb technology have brought us closer to a reality once imagined in science fiction. A recent clinical trial has demonstrated a revolutionary method that improves the integration of bionic prostheses into the human body. Researchers have developed a technique that surgically reconstructs muscle pairs, allowing amputees to control robotic limbs via brain signals, making it easier to navigate obstacles and stairs.

The anatomical approach

Traditionally, prosthetic design has viewed the human body as a limitation. However, bioengineer Tyler Clites, now at UCLA, suggests an “anatomical” approach that integrates the body with machines. This technique reconfigures muscles, bones and nerves to create a more natural communication path between the bionic limb and the nervous system. By using biological elements, the prostheses can imitate natural movement and proprioception: the body’s awareness of its position and movement.

Agonist-antagonist myoneural interface (AMI)

The agonist-antagonist myoneural interface (AMI) technique is at the forefront of this integration. By reconstructing muscle pairs, recipients can perceive movements in their prosthesis as natural sensations. In a recent study, those who underwent AMI surgery saw a 40% increase in walking speed, which approached the pace of non-amputees.

Innovations in prosthetic integration

In addition, osseointegration techniques, in which prosthetics are anchored directly to the bone using titanium bolts, provide greater comfort and stability compared to traditional sockets. Innovations such as targeted muscle reinnervation (TMR) and regenerative peripheral nerve interfaces (RPNI) are also improving the control and feedback of prosthetic limbs.

Conclusion

If researchers As we continue to refine these techniques, the vision of seamlessly integrated, brain-controlled bionic limbs becomes increasingly tangible, offering hope and an improved quality of life for amputees worldwide.

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