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NEW YORK DAWN™ > Blog > Health > Nerve sign detection technique exhibits potential for intentional management of bionic prostheses
Nerve sign detection technique exhibits potential for intentional management of bionic prostheses
Health

Nerve sign detection technique exhibits potential for intentional management of bionic prostheses

Last updated: November 1, 2025 8:22 am
Editorial Board Published November 1, 2025
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Biointerface based mostly on TMR of a polyfascicular nerve and using a microelectrode array for recording and decoding. Credit score: Nature Biomedical Engineering (2025). DOI: 10.1038/s41551-025-01537-y

Regardless of monumental progress up to now twenty years, the intentional management of bionic prostheses stays a problem and the topic of intensive analysis. Now, scientists on the Medical College of Vienna and Imperial School London have developed a brand new technique for exactly detecting the nerve alerts remaining after an arm amputation and using them to manage a synthetic arm. The examine outcomes, revealed within the journal Nature Biomedical Engineering, may kind the idea for the event of the subsequent era of prostheses.

Novel (40-channel) microelectrodes had been implanted within the muscle tissue of three arm amputee examine individuals, which had beforehand been reconnected to nerves by means of a course of generally known as focused muscle reinnervation (TMR). This surgical process redirects nerve pathways remaining after amputation to muscle tissue which might be nonetheless current, thus creating new interfaces by means of which neural alerts will be retrieved.

By combining surgical reinnervation with implantable microelectrodes, scientists at MedUni Vienna and Imperial School London succeeded for the primary time in immediately measuring the exercise of particular person motor neurons—the nerve cells within the spinal wire that transmit motion instructions to the muscle tissue—and linking their sign patterns to particular motion intentions. To attain this end result, the individuals mentally carried out varied actions with their phantom arm.

“Using our method, we were able to precisely identify the nerve signals that underlie, for example, the stretching of a finger or the bending of the wrist,” reviews examine writer Oskar Aszmann, head of the Scientific Laboratory for Bionic Limb Reconstruction on the Division of Plastic, Reconstructive and Aesthetic Surgical procedure at MedUni Vienna.

Basis for the event of wi-fi implants

Evaluation of the recorded, extremely differentiated nerve alerts additionally confirmed that advanced motion intentions stay intact within the nervous system even after amputation and will be mathematically reconstructed. Which means that this data can be utilized in future for the exact management of bionic prostheses.

“This is a crucial step towards making the control of bionic limbs more natural and intuitive,” says Aszmann, emphasizing the relevance of the examine outcomes.

In the long run, these findings will result in the event of a so-called bioscreen—a system that visualizes the advanced neural patterns of human actions and thus types the idea for brand spanking new generations of prostheses. Present analysis is thus laying the muse for the event of wi-fi implants that may transmit nerve alerts immediately and in actual time to bionic palms or different help techniques.

Extra data:
Laura Ferrante et al, Implanted microelectrode arrays in reinnervated muscle tissue enable separation of neural drives from transferred polyfunctional nerves, Nature Biomedical Engineering (2025). DOI: 10.1038/s41551-025-01537-y

Offered by
Medical College of Vienna

Quotation:
Nerve sign detection technique exhibits potential for intentional management of bionic prostheses (2025, October 31)
retrieved 1 November 2025
from https://medicalxpress.com/information/2025-10-nerve-method-potential-intentional-bionic.html

This doc is topic to copyright. Other than any honest dealing for the aim of personal examine or analysis, no
half could also be reproduced with out the written permission. The content material is supplied for data functions solely.

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