MindAffect is specialized in the application of artificial intelligence and neuroscience to enhance neural circuit testing and human communication.
Our unique patented BCI/AI algorithms interpret EEG & EMG signals at an enhanced level of speed and accuracy which allow accurate interpretation of the validity of this pathway for all patient groups – (not just those who can respond!).
We are working with leading medical and corporate partners to develop the next generation of Vision, Hearing and Brain Health diagnostic systems and Silent Communication.
Our systems analyse the brain’s response from external stimuli in real-time to produce an objective understanding of the level of acuity or directive in each of focus areas:
Audiometric Threshold Estimation - Today
We are developing a system for real-time detection of stimulus-evoked potentials to provide a rapid (<6 minutes), no-patient response required, objective and highly cost-effective estimation of the entire audiometric curve in real-time.
Listening Experience Monitoring – Near Term
We are in the process of developing a system can be used for automatic, objective, and continuous assessment of a user’s listening experience.
Optimized Hearing-Aid Fitting – Future
Combining with advanced machine learning techniques, our goal is to the time and maximize the customer satisfaction by fitting hearing aid specifically to the user’s individual needs and preferences.
No patient response required means that all patient groups can be effectively screened for hearing impairments.
Visual Acuity Testing - Today
We are building no-response required system to rapidly (<10 mins) map sensitivity over the visual field to stimulus including; intensity, color, and movement. Its speed and simplicity will allow more frequent testing and earlier identification of neuro-visual disorders for all patient populations.
Visual Evoked Potential – Near Term
We have been awarded an MIT Partnership grant to work with leading hardware developers, TMSi and MFI to create a prototype (Project GLAM) to develop a no-response required system for glaucoma screen for glaucoma. We believe that this will become the most effective way to check the nerves of the visual pathway for abnormalities including; neuritis, glaucoma, multiple sclerosis and optic neuropathy.
Visual Cognitive Function – The Future
Our goal is to be able to test for higher level visual cognitive functionality including face or object recognition. This will be useful in monitoring general brain-health or diagnosis of issues associated with particular conditions.
BRAIN HEALTH / TRAINING
Brain Health – Near Term
We are able to test both stimulus processing and cognitive brain responses to complex visual, auditory and tactile stimuli. Our goal is to create a system which could give an indication of general brain health while demonstrating specific processing deficiencies.
Training – Near Term
Workload & Sensory Processing Monitoring
We are able to objectively determine the physical and mental insight into the ability of participant as they manage or learn from event or experience. These active insights can be used to create more effective training protocol in real-time.
BCI Silent Communication - Today
Our algorithms allow paralyzed or healthy individuals to communicate and control devices using just brain signals. We have successfully developed applications and evaluated these algorithms for paralyzed individuals, and healthy users.
Neural Computer Interface Communication
Utilizing natural signal amplification provided by the human motor system improves signal-to-noise and allows for fast and intuitive control performance for users. We are currently developing facial-control and sub-vocal speech recognition for silent communication.
Radboud University, Donders Institute: Prof. Peter Desain inspired a team of neuroscientist to begin work to improve the speed and accuracy of BCI.
Team spun out of Radbound into MindAffect with NLC, The Leading HeathTech Venture Builder in the Netherlands.
Further applications discovered in the area of sensory processing analysis broadened MindAffect's strategy.
Breakthrough patented Brain Computer Interface (“BCI”) technology to allow for communication solely based upon brain function.
Recipient of ALS prize for Life and successful proven communication prototype.
Innovation HealthTech Center, Ede: Paid R&D Pilots for Auditory Threshold and Listening Effort. MIT Grant for EEG based Glaucoma Screening System.
"Coming together is a beginning, staying together is progress, and working together is success!"
We are always looking for the best, the brightest, most creative and committed professionals to join us.
Search our job opportunities at MindAffect
Job Summary (0.8 – 1.0 FTE):
Key to our approach is using advanced Machine Learning techniques to analyse the produced EEG data. We are looking for a Research Engineer to take ownership of one of these applications and develop it into a successful prototype — and eventually a successful product.