Living Labs

Signal Lab

Together with experts from the University of Texas at Arlington, we are working on the development of sophisticated methods of sleep apnea diagnosis and severity level estimation.

We build AI-based monitoring tools for neonatal care, including for infants with HIE. Advanced signal processing techniques eliminate motion artifacts, providing clearer and more accurate real-time data.

Patented fetal ECG technologies, as well as a proprietary simulation platform, are driving innovation in fetal monitoring for a safer, more reliable experience for expectant mothers. Our research is leading to the early detection of fetal heart abnormalities, giving mothers peace of mind.

We, in collaboration with animal healthcare specialists in Brno, are developing smart sensing technology for precise monitoring of vital parameters and cardiac activity in animals. Intelligent algorithms assist in minimizing motion artifacts.

We leverage large-scale medical imaging datasets to develop advanced CAD and CADx tools across neurology, oncology, gynecology, urology, and musculoskeletal imaging. Our solutions enhance diagnostic accuracy, support clinical workflows, and enable data-driven decision-making in radiology.

Our patented system is capable of monitoring cardiorespiratory activities in patients during MRI examinations even in harsh electromagnetic environments. This makes MRI examinations more efficient and comfortable for patients.

The research area of cardiovascular and respiratory adaptation in extreme environments using intelligent garments and pneumatic ballistocardiography can be used for both space missions and clinical cardiology.

We develop diffusion-based synthetic data generation pipelines and AI models for diagnosis classification from medical documentation. Our expertise spans edge computing, federated learning, and foundation models, supported by scalable infrastructure ranging from high-performance workstations (including multi-GPU setups such as NVIDIA RTX 6000 Ada Generation GPU systems and NVIDIA DGX systems) to edge AI deployments.