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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Hlavní autoři:	Ke-Wei Chen, Laura Bear, Che-Wei Lin
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-03-01
Edice:	Sensors
Témata:	electrocardiographic imaging (ECGi) deep learning machine learning inverse problem Fully Connected Neural network (FCN) Long Short-term Memory (LSTM)
On-line přístup:	https://www.mdpi.com/1424-8220/22/6/2331
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