From Baltic Region to European Cooperation

3–6 Jun 2025 | Brussels, Belgium

Project cooperationUpdated on 7 May 2025

Contactless Radar System for Real-Time Monitoring and Intelligent Alerting of Cardiorespiratory Status

Tomasz Klajbor, PhD

CEO, PhD at INNOKREA

Gdansk, Poland

About

Sientists from the Gdańsk University of Technology (PG) in cooperation with scientists from the Medical University of Gdańsk (GUMed) developed an early prototype of a non-contact device that allows breathing and heart rate monitoring. The device has undergone a pilot study stage, which confirmed the feasibility of this type of device and the possibility of use in a medical environment.  

The device has significant potential for use in a hospital environment. Its non-contact nature eliminates the need to put belts and other elements directly on the patient's body, which significantly speeds up the process of monitoring vital signs. This, in turn, allows for an increase in the number of patients who can be admitted per day.

The device will be equiped with AI features will support medicians. The main application of the system concerns patients with heart failure, in whom early detection of deterioration in health condition can significantly improve prognosis. Additionally, simultaneous monitoring of heart rhythm and respiratory path significantly expands the potential applications of the method, for example by detecting irregularities related to the occurrence of sleep apnea or arrhythmia.

Goal: TRL 9 (EU certified medical device).

Topic

  • Cluster Health (CL1): HORIZON-HLTH-2025-01-DISEASE-04: Leveraging artificial intelligence for pandemic preparedness and response
  • Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
  • Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)

Type

  • Consortium/Coordinator seeks Partners

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  • Project cooperation

    Your clinical partner in digital health

    • Cluster Health (CL1): HORIZON-HLTH-2025-01-DISEASE-04: Leveraging artificial intelligence for pandemic preparedness and response
    • Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
    • Cluster Health (CL1): HORIZON-HLTH-2025-03-DISEASE-02-two-stage: Advancing innovative interventions for mental, behavioural and neurodevelopmental disorders

    Patrick Duflot

    IT Analyst at CHU de Liège

    Liège, Belgium

  • Project cooperation

    CEDIMED Brussels is looking for consortium for AI in pandemics & End user-driven application of Gen AI in healthcare

    • Partner seeks Consortium/Coordinator
    • Cluster Health (CL1): HORIZON-HLTH-2025-01-DISEASE-04: Leveraging artificial intelligence for pandemic preparedness and response
    • Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)

    Ewout De Roock

    Researcher at VUB CEDIMED Brussels

    Jette, Belgium

  • Project cooperation

    Multimodal Computational Pathology for Medical Learning Systems

    • Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)

    Arvydas Laurinavicius

    Director, National Center of Pathology (VUHSK) at Vilnius University

    Vilnius, Lithuania