Classification of mechanisms underlying cardiac arrhythmias by deep learning

Author:

Arredondo Jorge Raúl Pérez,Tanscheit Ricardo,Monteiro Elisabeth CostaORCID,da Silva Eduardo Costa,de Sousa Iam Palatnik

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering

Reference31 articles.

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2. Arredondo JRP. Classification of mechanisms underlying cardiac arrhythmias by deep learning. Master Thesis. Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro. 2017.

3. Barbosa CRH. Simulation of a plane wavefront propagating in cardiac tissue using a cellular automata model. Phys Med Biol. 2003;48:4151–64.

4. Cichy RM, Khosla A, Pantazis D, Oliva A. Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks. NeuroImage. 2017;153(12):346–58.

5. Cireşan DC, Meier U, Masci J, Gambardella LM, Schmidhuber J. Flexible. High performance convolutional neural networks for image classification. In: 22nd International Joint Conference on Artificial Intelligence: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence; 2011; Barcelona. p. 1237–1242.

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