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Scientists have developed a bionic hand that uses artificial intelligence (AI) to interpret muscle signals of brain activity and make more natural movements – a breakthrough that could usher in a new generation of prosthetic limbs.
Researchers from Imperial College London in the United Kingdom and from the University of Göttingen in Germany discovered that the new control based on machine learning was much better at providing Fluid and natural movements as the technology currently available.
"When designing bionic limbs, our main goal is to let patients control them as naturally as they were their biological limbs. This new technology brings us a little closer to that goal," he said. Dario Farina, of Imperial. Current technology works by directly controlling prosthetic motors with some muscular signals
The new bionic hand uses a human-machine interface that interprets the patient's intentions and sends commands to the artificial limb.
It contains eight electrodes that capture weak electrical signals from the patient's stump, before amplifying them and sending them to a mini-computer, also located in the prosthesis.
The minicomputer then executes the machine learning algorithm to interpret the signals before controlling the hand. The patients found that they could easily rotate the wrist and open the hand simultaneously or separately. They also found the movements much more natural than the conventional bionic limbs they were used to.
In addition to the types of functions, patients could also control the speed of individual movement independently of other movements. For example, patients can turn their hand slowly but open it quickly at the same time.
Researchers say that it is an essential component for movements that seem natural.
Before use, the patient and the bionic hand trained training machine learning algorithm could "learn" how to interpret their unique electronic signals.
"The new bionic hand is not only more natural but also superior in functionality in daily tasks than is currently available to patients" Farina
"As a result of this clinical study, we hope to have this information available on the market for patients here three years, "he said.
Researchers are working on better hand control. move individual fingers, and eliminate the need for electrodes by transferring wireless signals into the patient's body.
(This story was not edited by Business Standard staff and is generated automatically from a syndicate. Feed.)
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