Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks

Electrocardiographic imaging (ECGi) reconstructs electrograms at the heart’s surface using the potentials recorded at the body’s surface. This is called the inverse problem of electrocardiography. This study aimed to improve on the current solution methods using machine learning and deep learning fr...

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Detalles Bibliográficos
Autores principales: Chen, Ke-Wei, Bear, Laura, Lin, Che-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951148/
https://www.ncbi.nlm.nih.gov/pubmed/35336502
http://dx.doi.org/10.3390/s22062331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951148/
https://www.ncbi.nlm.nih.gov/pubmed/35336502
http://dx.doi.org/10.3390/s22062331

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