Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping.

Journal: IEEE transactions on bio-medical engineering

PMID: 28113292

Abstract

GOAL: We use noninvasive data (body surface potential mapping, BSPM) to personalize the main parameters of a cardiac electrophysiological (EP) model for predicting the response to different pacing conditions.

Authors

Sophie Giffard-Roisin
Thomas Jackson
Lauren Fovargue
Jack Lee

Clinical Trials and Biostatistics Lab CUHK Shenzhen Research Institute Shenzhen China.
Herve Delingette
Reza Razavi
Nicholas Ayache
Maxime Sermesant

Keywords

Algorithms Body Surface Potential Mapping Computer Simulation Diagnosis, Computer-Assisted Heart Conduction System Humans Models, Cardiovascular Patient-Centered Care Reproducibility of Results Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (28113292)

Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping.

Abstract

Authors

Keywords

External Resources

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