STATISTICAL ASSESSMENT AND CALIBRATION OF NUMERICAL ECG MODELS

DOI10.17654/BS0150200151zbMath1428.92065OpenAlexW2901673508WikidataQ128915886 ScholiaQ128915886MaRDI QIDQ5204782

Nicholas Tarabelloni, Anna Maria Paganoni, Elisa Schenone, Francesca Ieva, Annabelle Collin, Jean-Frédéric Gerbeau

Publication date: 5 December 2019

Published in: JP Journal of Biostatistics (Search for Journal in Brave)

Full work available at URL: http://www.pphmj.com/article.php?act=art_download&art_id=12158

zbMATH Keywords

functional data analysiselectrocardiogramsdepth measuresstatistical model calibrationcardiovascular mathematics

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Uses Software

• R
• fda (R)

Cites Work

• Identification of weakly coupled multiphysics problems. application to the inverse problem of electrocardiography
• Depth-based inference for functional data
• \(M\)-estimation, convexity and quantiles
• Minimal model for human ventricular action potentials in tissue
• Computational cardiology. Modeling of anatomy, electrophysiology, and mechanics.
• Functional data analysis.
• The spatial distribution in infinite dimensional spaces and related quantiles and depths
• A SURFACE-BASED ELECTROPHYSIOLOGY MODEL RELYING ON ASYMPTOTIC ANALYSIS AND MOTIVATED BY CARDIAC ATRIA MODELING
• On a Geometric Notion of Quantiles for Multivariate Data
• On the Concept of Depth for Functional Data
• Computing the Electrical Activity in the Heart

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