Project description
Cardiac arrhythmia: computational models for personalised treatment
Atrial fibrillation (AF) is the most common cardiac arrhythmia and a major cause of stroke. Conventional treatment involves ablation, the creation of small scars in the heart to block faulty electrical signals. However, the identification of target areas within the heart remains subjective and the application of ablation depends on the practitioner’s judgement. With the support of the Marie Skłodowska-Curie Actions programme, the DESCRIBE project aims to develop a computational approach to automatically identify the best ablation targets for each patient. The proposed method will combine and analyse cardiac data, even when some information is missing. The DESCRIBE approach will enhance diagnostic accuracy and improve treatment success for patients.
Objective
Tensor analysis plays a central role in signal processing and machine learning for the representation, analysis, fusion, and classification of data. Responsible for up to 25% of brain strokes, atrial fibrillation (AF) is the most prevalent sustained cardiac arrhythmia and remains the last great frontier of cardiac electrophysiology. Catheter ablation is the most attractive therapeutic option for persistent AF, although the identification of suitable target areas is strongly dependent on practitioners subjectivity. Multi-electrode catheters are increasingly used in ablation as they facilitate the electroanatomical mapping of the atria, but often deliver incomplete data due to lack of contact with the atrial wall. This project aims to improve the personalized characterization and management of AF by proposing novel tensor-based methods for multimodal data fusion in a possibly missing information scenario. New coupled tensor models will be introduced for effectively coupling multimodal information and robust optimization algorithms will be developed for retrieving unknown/unavailable information. It is expected that the optimal exploitation of invasive (intracardiac EGM) and noninvasive (surface ECG) records will allow the automatic identification of the best targets for successful ablation. Encouraging preliminary results have been obtained with the block-term decomposition (BTD) to handle multiple time segments of the ECG for the blind separation of the atrial activity signal. The contribution of EGM into the ECG will be identified by analyzing the common factors obtained by the proposed coupled tensor decompositions. Extensions of coupled BTD to multimodal, possibly missing data will also be proposed. Expected impacts lie in original tensor models and algorithms for data fusion and tensor completion, leading to novel descriptors of AF that can significantly advance the understanding of this prevalent cardiac condition and derive patient-tailored ablation protocols.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine cardiology cardiovascular diseases cardiac arrhythmia
- medical and health sciences basic medicine neurology stroke
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2023-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
75794 Paris
France
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