Project cooperationUpdated on 7 May 2025
Contactless Radar System for Real-Time Monitoring and Intelligent Alerting of Cardiorespiratory Status
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
Similar opportunities
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
- 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