Skip to Content
MIT News: 77 Mass Ave

Mind and magnet

With a system that uses magnetic beads to measure muscle position, amputees could make prosthetic limbs move just the way they’ve envisioned.

October 26, 2021

People who use prosthetic limbs after an amputation often struggle to make them move naturally. Now a new technique based on tiny magnets offers the potential for much more precise and intuitive control.

Today, most prosthetic limbs are controlled via electromyography (EMG), which uses electrodes—either implanted surgically or placed on the skin—to record electrical signals from the brain that tell the muscles in the residual limb to contract. But this doesn’t capture what the muscle is actually doing. Magnetomicography (MM), the experimental alternative developed by researchers in Hugh Herr’s Mechatronics group at the MIT Media Lab, relies instead on pairs of magnetic beads embedded in the tissue. By measuring how the magnets move relative to one another, the researchers can calculate precisely how much and how fast the muscles are contracting. This feedback can be relayed to the prosthesis with little lag time.

prosthetic concept
Pairs of magnets are used to calculate how the muscles in an amputee’s residual limb are moving, with feedback relayed to a prosthesis in milliseconds.

The measurements could then be fed into a computer model that predicts where the patient’s phantom limb would be in space, based on the contractions of the muscle. A patient would be able to direct the device to move as desired, with the results matching a mental picture of the limb position.

“With magnetomicrometry, we’re directly measuring the length and speed of the muscle,” Herr says. “Through mathematical modeling of the entire limb, we can compute target positions and speeds of the prosthetic joints to be controlled, and then a simple robotic controller can control those joints.”

In a recently published paper on the work, which used three-millimeter magnetic beads inserted in the calf muscles of turkeys, the researchers found that they could use magnetic sensors placed on the outside of the legs to determine the position of the magnets with a precision of 37 microns (about the width of a human hair) as they moved the turkeys’ ankle joints. These measurements could be obtained within three milliseconds.

Within the next few years, the researchers hope to do a small study in humans with amputations below the knee. The sensors used to control the bionic limb could be placed on clothing, attached to the skin, or affixed to the outside of the prosthesis.

MM could also be used to improve the muscle control achieved with a technique called functional electrical stimulation, which is now used to help restore mobility in people with spinal cord injuries. And it could potentially guide robotic exoskeletons, which can be attached to an ankle or another joint to help people with muscle weakness as a result of a stroke or some other health issue.

“Essentially the magnets and the exoskeleton act as an artificial muscle that will amplify the output of the biological muscles in the stroke-impaired limb,” Herr says. “It’s like the power steering that’s used in automobiles.”

“Our hope is that MM will replace electromyography as the dominant way to link the peripheral nervous system to bionic limbs,” Herr says. He adds that  once inserted in the muscle, the beads could remain in place for a lifetime without needing to be replaced.

Keep Reading

Most Popular

Geoffrey Hinton tells us why he’s now scared of the tech he helped build

“I have suddenly switched my views on whether these things are going to be more intelligent than us.”

ChatGPT is going to change education, not destroy it

The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.

Meet the people who use Notion to plan their whole lives

The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.

Learning to code isn’t enough

Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at with a list of newsletters you’d like to receive.