Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks

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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Bibliographic Details
Main Authors: Ke-Wei Chen, Laura Bear, Che-Wei Lin
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
electrocardiographic imaging (ECGi)
deep learning
machine learning
inverse problem
Fully Connected Neural network (FCN)
Long Short-term Memory (LSTM)
Online Access:https://www.mdpi.com/1424-8220/22/6/2331

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