TU Dresden's ECG-based diagnostic support system “ecgXfusion®” wins Technology and Innovation Award

The research team led by Dr. Martin Schmidt and Alexander Hammer from the Institute of Biomedical Engineering (IBMT) at TU Dresden was honored with the Technology and Innovation Award: Early Products and Research Developments at the 2025 ESC Digital & AI Summit for its development of “ecgXfusion®” – a diagnostic tool for detecting cardiovascular diseases. Each year, the award honors outstanding digital-health innovations that provide new impulses for advancing cardiovascular care. It was presented by the Digital Cardiology and Artificial Intelligence Committee of the European Society of Cardiology (ESC), supported by the German Heart Center Foundation.

With “ecgXfusion^®“, the Dresden team developed an AI-based diagnostic support system that assists physicians in the precise, non-invasive detection of cardiovascular diseases. The technology developed by the research team, which is documented in three patents held by TU Dresden, combines state-of-the-art methods of explainable artificial intelligence with a robust analysis of ECG signals. It provides comprehensible information for medical diagnostics and creates a transparent basis for decision-making, both for clinical practice and for research.

“We are delighted to have received this award. It confirms that we are on the right track with our development. Our goal now is to further develop ecgXfusion® into an approved medical device that will empower tomorrow's physicians with more intuitive ECG diagnostic support and more reliable patient care," says Dr. Martin Schmidt, head of the Biosignal Processing working group at IBMT.

The team receives support for the transfer into practice in a targeted manner from the TUD|Excellence Center for Innovation, Transfer and Entrepreneurship (TUD|excite), and the startup service dresden|exists. An initial business model was developed in the LifeTechLab incubation program. Currently, ecgXfusion—supported by validation funding from the Free State of Saxony — is being tested under realistic conditions at the Dresden Heart Center and in private practices and evaluated using key performance indicators (KPIs). The team is aiming for a spin-off based on this technology. 

Contact:

Dr. Martin Schmidt
Faculty of Electrical and Computer Engineering
Institute of Biomedical Engineering
Tel.: +49 351 463 39942
Email: martin.schmidt@tu-dresden.de

Alexander Hammer
Faculty of Electrical and Computer Engineering
Institute of Biomedical Engineering
Tel.: +49 351 463 43806
Email: alexander.hammer@tu-dresden.de