The eyeTrax system was developed for the examination and analysis of oculomotor function (eye movements and pupil function). Using high-performance eye tracking cameras - integrated into virtual reality glasses - the eye movements are precisely detected and evaluated with the help of eyeTrax software. The results document possible deficits of the oculomotor functions, which are also of great importance in professional sports.
The oculomotor function is tested using a 3D simulation that triggers visual stimuli in a targeted and reproducible manner. The high-performance eye tracking cameras detect eye movements and pupil reactions when tracking and searching for moving objects and light stimuli by detecting and tracking the pupil in the video image using computer vision algorithms. In contrast to screen-based systems, 3D simulation also measures accommodation performance (convergence and divergence).
eyeTrax combines a series of advanced algorithms and evaluates the results for both eyes separately. Different measurements can be compared intraindividually. The reproducible and objectifiable data allow conclusions to be drawn about the cognitive function of the brain.
At present, there are no objective examination methods for the mild traumatic brain injury (mTBI) to confirm this diagnosis. It is based on the subjective and motivational information provided by the patient and on the doctor's assessment of symptoms: nausea, vomiting, dizziness or headache are only indirect indications of brain damage.
eyeTrax conducts studies with renowned scientists on the diagnosis of the mild traumatic brain injuries using eye tracking and virtual reality technology. In cooperation with clinically active scientists and sports physicians, neuro-ophthalmological parameters in the acute phase after a mild traumatic brain injury are recorded and evaluated with regard to their sensitivity and specificity for the diagnosis of a the mild traumatic brain injury.
These parameters are intended to improve diagnostic certainty by means of objectifiable functional parameters for mild traumatic brain injuries. The specificity of the method is also of great importance for the optimal control of a healing procedure and thus for the decision on professional reintegration.
The procedure for approval as a Class 1 medical device has already been initiated in Germany (oculomotor performance diagnostics) and in the USA.
Even before the injury of national soccer player Christoph Kramer in the final of the 2014 World Cup, mild traumatic brain injuries (mTBI) have also been the focus of sports medical discussion in popular and top-class sport. In professional sports, game situations are only perceived within seconds if the oculomotor system is intact. A mild traumatic brain injury can lead to deficits in the oculomotor functions, which reduces the ability to react and influence spatial perception. These skills play an important role in assessing game situations and in duel behaviour, among other things. Possible deficits also significantly increase the risk of musculoskeletal injuries.
A reliable and objective assessment of these cognitive abilities immediately after a head injury is therefore of great importance - for the health of the athletes and for deciding whether the player can continue to perform at full capacity or should be replaced strategically. Up to now, the team physicians have made subjective decisions based on experience. Especially light craniocerebral traumas are often not recognized or minimized and therefore not optimally treated. Those affected may be reintegrated into the training and competition process (return-to-play) too quickly (or unnecessarily late).
Managing Director and founder of mindQ. Gathered his digital experience in projects and management functions at E-Plus, Arcor, Vodafone, PSI AG, BASE, Atos and many other companies.
Managing Director and founder of mindQ. Conceived and developed big data analysis systems for Arcor, Vodafone, PSI AG and Deutsche Bahn and led various international research collaborative projects focusing on distributed mobile systems.
He holds a doctorate in physics and has many years of international research experience in the field of three-dimensional spectroscopy and microscopy. He leads the software and hardware development of eyeTrax and designs the algorithms for data evaluation and recording.
Maintains the artificial intelligence behind eyeTrax assistance systems. As a cognitive scientist and data scientist, he is researching the use of deep neural networks for a machine-supported interpretation of data.
As a data analyst she is developing the complex technologies and models in the field of time series analysis. In doing so, she uses the latest data-driven methods of artificial intelligence.