Imagine being fully awake but unable to move a single muscle or speak, like being trapped inside your own body. This technology puts a tiny, high-tech grid of sensors on the brain to read thoughts. It then uses AI to turn those brain signals into text or speech on a computer screen in less than a second.
Patients with Locked-In Syndrome are conscious but completely paralyzed, creating a total communication barrier. This results in a very low quality of life and an extreme care burden for families and healthcare providers.
A fully implantable BCI device featuring 128 electrodes and AI-based decoding software that converts brain signals into text or audio.
If you are a neurotechnology manufacturer dealing with the lack of sustainable, long-term brain implants — this project developed a fully implantable BCI with 128 electrodes that allows 24/7 recording in home environments.
If you are an accessibility software provider dealing with slow communication speeds for paralyzed patients — this project developed AI decoding algorithms that translate brain signals to speech with less than 1 second delay.
If you are a rehab clinic dealing with the extreme burden of care for Locked-In Syndrome patients — this project developed a system to restore communication, which reduces the isolation of the patient and the stress on caregivers.
Based on available project data, the specific unit price or production cost of the BCI device is not mentioned.
The project focuses on validating the working principle in 2 people; industrial scaling details are not provided in the current data.
Based on available project data, the project intends to openly share brain data to advance scientific knowledge, but specific commercial licensing terms are not listed.
The project runs from 2022-12-01 to 2027-11-30, with the goal of restoring communication by the end of this period.
The system is a fully implantable device designed for use in the home environment, providing 24/7 brain signal recording.
The consortium is well-balanced for a deep-tech medical project, consisting of 5 partners across 4 countries. With a 40% industry ratio (including 2 SMEs), there is a clear path from the academic research led by UMC Utrecht toward commercial viability and hardware manufacturing.
Contact Universitaire Medisch Centrum Utrecht
Contact us to explore licensing opportunities for the AI decoding algorithms.
