Medical examinations generate immense amounts of data, meaning that there are limits to what can be achieved in terms of analysis and interpretation. For example, when measuring brain waves – particularly in long-term EEGs – this places considerable demands on people and can quickly become overwhelming. This is where modern data analysis methods come into their own, such as the “encevis” EEG analysis software developed at AIT. Advanced algorithms deliver objective results and also minimise human error. This takes the pressure off doctors and medical staff, allowing them to focus more on patient care. This leads to a more efficient use of resources and enables faster diagnosis and treatment.
In the case of epilepsy, this brings crucial medical benefits. The rapid processing of large EEG data sets ensures that critical decisions can be made without delay. The precise detection of, for example, non-convulsive seizures or other typical patterns (seizure burden, status epilepticus, etc.) minimises the risk of misdiagnosis or delayed treatment, thereby reducing the long-term costs of complications and follow-up treatment.
Relief for patients and hospitals
By combining encevis with other technologies, researchers at AIT, in collaboration with three leading European epilepsy centres, are currently developing a new solution that shifts key aspects of diagnosis and treatment to the outpatient setting. This eases the burden on both patients and clinics. The solution is based on encevis and AIT’s established telehealth platform, which is being expanded to include a digital seizure and dietary diary and offers a wide range of options for data collection and communication between patients and healthcare professionals. This combination forms the basis for modern, patient-centred and data-driven epilepsy care of the future.
In addition to the technological benefits, encevis also has a significant economic impact. By automating EEG analysis, the software considerably reduces the time and costs involved. This allows for a more efficient use of resources.
In the latest version of the software, released in 2025, an innovative AI-based algorithm for detecting sleep stages from EEG data has been integrated. In addition, a seizure detection feature has been developed which, for the first time, enables the reliable detection of seizures in children and adolescents. As part of a research contract with UNEEG Medical, the automatic seizure detection system has also undergone fundamental further development for subcutaneous EEG signals (SubQ-EEG). Compliance with the highest regulatory standards, such as the MDR and FDA, as well as validation using extensive clinical data from leading medical centres in Europe and the USA, underline the software’s reliability and innovative strength.
https://www.ait.ac.at/en/solutions/neurological-signal-processing
https://encevis.com/
AIT connects science and innovation
The ability to rapidly translate new findings into marketable technologies and practical solutions is increasingly becoming a key competitive factor for Europe. At this interface between science, technology and application, applied research at the AIT Austrian Institute of Technology plays a central role. Austria’s largest research and technology organisation aligns its research closely with the needs of industry and current societal challenges. AIT’s research makes a difference and creates solutions – for businesses, society and, ultimately, for us all.
AIT Impact Report
The AIT Impact Report 2026 uses around 30 examples to illustrate how AIT, together with partners from industry, academia and the public sector, translates research into concrete solutions. The projects presented range from the digitalisation of industrial processes, through resilient infrastructure and sustainable energy and industrial systems, to health, mobility, security and the circular economy.
The AIT Impact Report 2026 is available online (in German): www.ait.ac.at/impact-report
About AIT