If you are a prosthetics manufacturer dealing with limited user control in artificial limbs — this project developed bidirectional implantable electrodes that allow patients with forearm amputations to control devices via their nervous system.
Brain-Controlled Neural Interface for Advanced Prosthetics and Exoskeletons
Imagine a bridge that lets the brain talk directly to a robotic limb. This system uses tiny implants that act like a two-way street, sending movement commands to a robotic arm and sending touch sensations back to the brain. It's like upgrading a remote-controlled toy to a device that feels and moves as part of your own body.
What needed solving
Current prosthetics and exoskeletons lack intuitive, bidirectional communication with the human brain, leaving users with limited motor control and no sensory feedback.
What was built
A bidirectional implantable system consisting of cuff/plug electrodes, an ASIC-based electronic module, and AI-driven control software integrated into mechatronic limbs.
Who needs this
Who can put this to work
If you are an exoskeleton developer dealing with clunky, manual control interfaces — this project developed an AI-driven embedded system that interprets synaptic signals to move lower limb supports for paralyzed patients.
If you are an electronics firm dealing with power and data bottlenecks in implants — this project developed a module with an ASIC, wireless charging coil, and supercapacitor for stable neural communication.
Quick answers
What is the estimated cost or price of the system?
Based on available project data, there is no specific pricing or cost information provided.
Can this technology be produced at an industrial scale?
The project involves 13 industry partners and 14 SMEs, suggesting a strong focus on industrial viability, though specific scaling metrics are not listed.
What are the IP and licensing options for the AI modules?
Based on available project data, specific licensing terms are not mentioned, but the project develops custom ASICs and AI modules for signal interpretation.
How is the device powered and updated?
The system uses a coil for wireless power charging and an antenna for radio communication to manage data and power.
What is the timeline for clinical deployment?
The project period runs from 2023-06-01 to 2027-12-31, with the final phase focusing on three specific patient demonstrators.
Who built it
The consortium is heavily weighted toward commercialization, with 13 industry partners and 14 SMEs, representing a 48% industry ratio. This high level of private sector involvement across 10 countries indicates a strong push to move the neural interface from a lab setting into a marketable medical product.
Contact the National Institute for R&D for Microtechnology (Romania)
Talk to the team behind this work.
Contact us to connect with the 13 industry partners specializing in neural interfaces.