Industries in Depth

This new device could give amputees better control of their artificial limbs

A medic works on prosthetic limbs at an International Red Cross center for prosthesis in Aleppo, Syria February 2, 2017. REUTERS/Ali Hashisho - RTX2ZEDE

Current prosthetics mostly rely on signals from a user’s muscles, sometimes after reconnecting them to nerves from their missing limbs. Image: REUTERS/Ali Hashisho

David Z. Morris
Technology Writer, Fortune
Share:
Our Impact
What's the World Economic Forum doing to accelerate action on Industries in Depth?
The Big Picture
Explore and monitor how Biotechnology is affecting economies, industries and global issues
A hand holding a looking glass by a lake
Crowdsource Innovation
Get involved with our crowdsourced digital platform to deliver impact at scale
Stay up to date:

Biotechnology

A group of researchers have developed a new kind of human-machine interface that detects individual neuron signals for use in controlling artificial limbs. The group’s findings, published on February 6th in the journal Nature, were reached using a virtual prosthetic rather than a physical device. But the authors say their neuro-electric interface could greatly improve on existing prosthetic control methods, and gave six subjects who had lost arms “intuitive control of multiple degrees of freedom.”

 Image 1
Image: Nature

Current prosthetics mostly rely on signals from a user’s muscles, sometimes after reconnecting them to nerves from their missing limbs. But, according to the new paper, that method generates relatively imprecise data.

In the new study, researchers still used muscles as a sort of amplifier, reading their signals with implanted electromyographic sensors. But they filtered the ‘noise’ of muscle activation, giving more direct readings of neuron signals. Then they mapped the nerve signals that would normally control particular motions and used them as inputs for the virtual prosthetic.

This gave test subjects much more accurate and precise control. By one metric, they got an average of 97% signal accuracy compared to between 70% and 85% for existing methods. In addition to enhanced motion accuracy, the use of decoded neural information generally showed more accurate measurement of the force of subjects’ intended movements.

While there is some advanced work on myoelectric sensors that can control prosthetics without being surgically implanted, this new method could offer benefits that outweigh the inconvenience of surgery. The next step will be to demonstrate its effectiveness with a physical prosthesis.

Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

Sign up for free

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Share:
World Economic Forum logo
Global Agenda

The Agenda Weekly

A weekly update of the most important issues driving the global agenda

Subscribe today

You can unsubscribe at any time using the link in our emails. For more details, review our privacy policy.

Why having low-carbon buildings also makes financial sense

Guy Grainger

September 18, 2024

About us

Engage with us

  • Sign in
  • Partner with us
  • Become a member
  • Sign up for our press releases
  • Subscribe to our newsletters
  • Contact us

Quick links

Language editions

Privacy Policy & Terms of Service

Sitemap

© 2024 World Economic Forum