CORDIS Project
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This project develops innovative tensor-based methods for fusing multimodal data to enhance the personalized management of atrial fibrillation, a common heart condition. By optimizing the use of both invasive and noninvasive data, the project aims to improve the identification of optimal ablation targets for effective…
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 practiti…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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