Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest.

Elola, Andoni; Aramendi, Elisabete; Irusta, Unai; Picón, Artzai; Alonso, Erik; Owens, Pamela; Idris, Ahamed

Elola, Andoni; Aramendi, Elisabete; Irusta, Unai; Picón, Artzai; Alonso, Erik; Owens, Pamela; Idris, Ahamed.

Afiliação

Elola A; Department of Communications Engineering, University of the Basque Country, 48013 Bilbao, Spain.
Aramendi E; Department of Communications Engineering, University of the Basque Country, 48013 Bilbao, Spain.
Irusta U; Department of Communications Engineering, University of the Basque Country, 48013 Bilbao, Spain.
Picón A; Computer Vision, TECNALIA Research & Innovation, 48160 Derio, Spain.
Alonso E; Department of Engineering Systems and Automatics, University of the Basque Country, 48013 Bilbao, Spain.
Owens P; Department of Applied Mathematics, University of the Basque Country, 48013 Bilbao, Spain.
Idris A; Department of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Entropy (Basel) ; 21(3)2019 Mar 21.

Article em En | MEDLINE | ID: mdl-33267020

Palavras-chave

Bayesian optimization; ECG; convolutional neural network; deep learning; out-of-hospital cardiac arrest; pulse detection; pulseless electrical activity

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Entropy (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Espanha

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google