ThrombUS+: Wearable Continuous Point-of-Care Monitoring, Risk Estimation and Prevention for Deep Vein Thrombosis

HealthHORIZON-IAID: 101137227
EC Contribution
€81,413
Consortium Size
18 orgs
Start Year
2024
Summary

Deep vein thrombosis (DVT) is the formation of a blood clot within the deep veins, most commonly those of the lower limbs, causing obstruction of blood flow. In 50% of people with DVT, the clot eventually breaks off and travels to the lung to cause pulmonary embolism. Clinical assessment of DVT is notoriously unreliable because up to 2/3 of DVT episodes are clinically silent and patients are symptom free even when pulmonary embolism has developed. Early diagnosis of DVT is crucial and despite the progress made in ultrasound imaging and plethysmography techniques, there is a need for new methods to enable continuous monitoring DVT diagnosis at the point of care.ThrombUS+ brings together an interdisciplinary team of industrial, technology, regulatory, social science and clinical trial experts to develop a novel wearable diagnostic device for point-of-care, operator free, continuous monitoring in patients with high DVT risk. The device will combine autonomous, AI driven DVT detection based on a novel wearable ultrasound hardware, impedance plethysmography and light reflection rheography for immediate detection of blood clot formation in the lower limb. Activity and other physiological measurements will be used to provide a continuous assessment of DVT risk and support DVT prevention via serious gaming. The aggregated data will drive an intelligence decision support unit that will provide accurate monitoring and alerts. Extended reality will be used to guide experts to design exercises and patients to use the device optimally. ThrombUS+ is intended for use by postoperative patients in the ward, during long surgical operations, cancer patients or otherwise bedridden patients at home or in care units, and women during pregnancy and postpartum. ThrombUS+ will use big data sets for AI training collected in the project via 3 large scale clinical studies and will validate the outcome in the clinical setting via 1 early feasibility study and 1 multi-center clinical trial.

Consortium (18)

Project Results (27)

Source: CORDIS, the EU research results database.

Publications (17)
A Multi-center Cohort Study for Conventional Ultrasound Image Set Collection to Create a Data Set for Research Purposes. (ThrombUS_A)
· 2025
Kaldoudi E et at
Anonymization and curation of diagnostic ultrasound data for artificial intelligence applications
MSc in Biomedical Informatics, Democritus University of Thrace and ATHENA Research Center, Greece· 2025DOI
Pechlivanis D
Automating Compression Ultrasonography of Human Thigh Tissue and Vessels via Strain Estimation
Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies· 2025DOI
Rytis Jurkonis, Rimvydas Eitminavičius, Vaidotas Marozas, Andrius Sakalauskas
Autonomous controlled compression system for ultrasound venous hemodynamic studies
BSc Thesis, BSc in Electrical and Electronic Engineering, Kaunas University of Technology, Lithuania· 2025
Grajauskaitė J.
Deep Learning Approaches for Thrombosis Detection and Risk Assessment via Ultrasound Imaging
MSc Thesis, MSc in Biomedical Informatics, Democritus University of Thrace and ATHENA Research Center, Greece· 2025DOI
Didaskalou M
Detecting deep venous thrombosis by using impedance plethysmography without occlusive cuff
MSc Thesis, MSc in Biotechnology and Biomedical Engineering, Tampere University, Finland· 2025
Parkkila V
Detection of respiratory rate from leg impedance plethysmography signal during venous occlusion plethysmography
BSc Thesis, BSc in Biotechnology and Biomedical Engineering, Tampere University, Finland· 2025
Huovinen M
Electrical muscle stimulation intervention in impedance-based deep vein thrombosis detection
BSc Thesis, BSc in Biotechnology and Biomedical Engineering, Tampere University, Finland· 2025
Korhonen N.
Electrode comparison for impedance-based venous occlusion plethysmography
MSc Thesis, in MSc in Biotechnology and Biomedical Engineering, Tampere University, Finland· 2025
Maja S
MD CoDe – Compliance by Design as a key concept for meeting the European regulatory requirements for medical devices - VDE DGBMT recommendation
VDE DGBMT recommendation· 2025
Prinz T, Narten Z, Wenner H, Didaskalou S, Kaldoudi E, Balling S, Bernd Schleimer B, Öttinger M, Schlötelburg C, Handorn B.
Muscle Electrostimulator for Deep Vein Thrombosis Prevention and Monitoring
BSc Thesis, BSc in Electrical and Electronic Engineering, Kaunas University of Technology, Lithuania· 2025
Striūna A
Perinatal outcome in pregnant women: the impact of blood transfusion
Blood Transfusion· 2025DOI
Grandone E, Cromi A, Vincinguerra M, Tiscia GL, Makatsariya A, Khizroeva J, Bitsadze V, De Laurenzo A, Colaizzo D, Sciannamè N, Loverro G, Cicinelli E, Margaglione M, Ostuni A, Nappi L, Mastroianno M.
Preparing Ultrasound Imaging Data for Artificial Intelligence Tasks: Anonymisation, Cropping, and Tagging
Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - (Volume 2)· 2025DOI
Pechlivanis D, Didaskalou S, Kaldoudi E, Drosatos G
Sensor Module for Deep Vein Thrombosis Prevention and Monitoring System
BSc Thesis, BSc in Electrical and Electronic Engineering, Kaunas University of Technology, Lithuania· 2025
Pilkaitė V
Simulation of Deep Vein Thrombosis in Healthy Subjects by Inducing Vein Stenosis via External Pressure
BEC2024: The 19th Biennial Conference on Electronics and Embedded Systems, Tallinn, Estonia, 2-4 October 2024· 2024
Eitminavicius R, Jurkonis R, Marozas V, Rapalis A
Thrombosis and Haemostasis
Thrombosis and Haemostasis· 2024DOI
Grandone E, Mastroianno M, Pacilli G, Colaizzo D, Margaglione A, Bikdeli B, Piazza G
Towards Wearable Continuous Point-of-Care Monitoring for Deep Vein Thrombosis of the Lower Limb
IFMBE Proceedings, 9th European Medical and Biological Engineering Conference· 2024DOI
Eleni Kaldoudi, Vaidotas Marozas, Jurkonis Rytis, Nicolas Pousset, Mathieu Legros, Marco Kircher, Dmitry Novikov, Andrius Sakalauskas, Pavlos Moustakidis, Babajide Ayinde, Lara Alessia Moltani, Susann Balling, Antti Vehkaoja, Niku Oksala, Andrius Macas, Neringa Balciuniene, Maria Bigaki, Michail Potoupnis, Stella-Lida Papadopoulou, Elvira Grandone, Maxime Gautier, Sabrina Bouda, Cord Schloetelburg, Thorsten Prinz, Pietro Dionisio, Spyridon Anagnostopoulos, Ioanna Drougka, Frans Folkvord, George Drosatos, Stylianos Didaskalou, null null
Deliverables (9)
Other Results (1)
Periodic Reporting for period 1 - ThrombUS (ThrombUS+: Wearable Continuous Point-of-Care Monitoring, Risk Estimation and Prevention for Deep Vein Thrombosis)