Institute of Biomedical Engineering develops ecgXfusion® AI system for faster diagnosis of heart problems

The shortage of specialists also affects medical care - innovative technologies can provide valuable support here. Dr. Martin Schmidt and Alexander Hammer from the Institute of Biomedical Engineering have developed an ECG-based diagnostic support system that detects cardiovascular diseases quickly, reliably and gently.

ecgXfusion® helps doctors to diagnose cardiovascular diseases precisely and non-invasively. With the help of explainable AI, the system provides comprehensible and trustworthy information that facilitates medical decision-making. The aim of the development is to create AI applications for analyzing ECG signals that not only offer a high level of reliability, but also provide a completely transparent basis for decision-making. This makes the technology suitable for both research and practical use in medicine.

The innovation was developed as part of the LifeTechLab incubation program of TUD | excite. ecgXfusion is currently being tested under real-life conditions at the Dresden Heart Center and in private practices and evaluated using key performance indicators (KPIs).

Further information on the project can be found here.

Contact:

Dr. Martin Schmidt
Faculty of Electrical and Computer Engineering
Institute of Biomedical Engineering
Phone: +49 351 463 39942
E-mail: martin.schmidt@tu-dresden.de
Web: https://biosig.eu