Models of the maternal and fetal cardiovascular systems coupling via uterus and placenta

Project Information

MEASURE

Grant agreement ID: 101063008

DOI

10.3030/101063008

Project closed

EC signature date 22 August 2022

Start date 1 September 2023

End date 31 August 2025

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 203 464,32

Coordinated by

TECHNISCHE UNIVERSITEIT EINDHOVEN
Netherlands

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact ofthe project, including the dissemination and exploitation measures that are planned,and the target group(s) addressed. Regarding communication measures and publicengagement strategy, the aim is to inform and reach out to society and show theactivities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cyclefor all data sets that will be collected, processed or generated by the action. It is adocument describing what data will be collected, processed or generated andfollowing what methodology and standards, whether and how this data will beshared and/or made open, and how it will be curated and preserved.

Publications

Conference proceedings (4)

Optimizing Phase Synchronization for Maternal-Fetal Cardiovascular Coupling

Author(s): Irene S. Lensen, Alessandra Galli, Elisabetta Peri, Paul Hamelmann, Massimo Mischi
Published in: 2025 IEEE Medical Measurements & Applications (MeMeA), 2025
Publisher: IEEE
DOI: 10.1109/MEMEA65319.2025.11067960

Improved mECG Removal and fECG Extraction by Integrated Periodic Components Analysis and Singular Value Decomposition

Author(s): Alessandra Galli, Elisabetta Peri, Paul Hamelmann, Massimo Mischi
Published in: 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2024
Publisher: IEEE
DOI: 10.1109/MEMEA60663.2024.10596833

Semi-simulated Data for Improving Fetal QRS Detection Using Deep Neural Networks

Author(s): Giulio Steyde, Alessandra Galli, Andrea Cardinali, Edoardo Spairani, Giovanni Magenes, Maria G. Signorini
Published in: Lecture Notes in Computer Science, Artificial Intelligence in Medicine, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-95841-0_74

Identification of Discriminative Features for Uterine Contraction Detection in EHG Signals Recorded During Labor

Author(s): Giulia Acquaviva, Alessandra Galli, Elisabetta Peri, Massimo Mischi
Published in: 2025 IEEE Medical Measurements & Applications (MeMeA), 2025
Publisher: IEEE
DOI: 10.1109/MEMEA65319.2025.11068084