Blind Source Separation in Persistent Atrial Fibrillation Electrocardiograms Using Block-Term Tensor Decomposition with Löwner Constraints

Autor: Marinho R. de Oliveira, Pedro, Goulart, José Henrique de M, Rolim Fernandes, Carlos Alexandre, Zarzoso, Vicente

Publikováno v: IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers, In press, pp.1-13. ⟨10.1109/JBHI.2021.3108699⟩

Accepted for publication.; International audience; The estimation of the atrial activity (AA) signal from electrocardiogram (ECG) recordings is an important step in the noninvasive analysis of atrial fibrillation (AF), the most common sustained arrhy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a33f9d74daeb68c11f58fb286a524f60
https://hal.archives-ouvertes.fr/hal-03326486/file/LCAGL_Paper.pdf

Source Classification in Atrial Fibrillation Using a Machine Learning Approach

Autor: Marinho R. de Oliveira, Pedro, Zarzoso, Vicente, Rolim Fernandes, C. Alexandre

Publikováno v: Computing in Cardiology
Computing in Cardiology, Sep 2019, Singapour, Singapore

International audience; A precise analysis of the atrial activity (AA) signal in electrocardiogram (ECG) recordings is necessary for a better understanding of the mechanisms behind atrial fibrillation (AF). Blind source separation (BSS) techniques ha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::84ac9ab8a8a7d0a06916965f23cec71a
https://hal.archives-ouvertes.fr/hal-02301040/file/cinc2019_vfinal.pdf