Optimization of End-to-End Convolutional Neural Networks for Analysis of Out-of-Hospital Cardiac Arrest Rhythms during Cardiopulmonary Resuscitation.

Jekova, Irena; Krasteva, Vessela

Jekova, Irena; Krasteva, Vessela.

Afiliação

Jekova I; Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Bl 105, 1113 Sofia, Bulgaria.
Krasteva V; Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Bl 105, 1113 Sofia, Bulgaria.

Sensors (Basel) ; 21(12)2021 Jun 15.

Article em En | MEDLINE | ID: mdl-34203701

Assuntos

Reanimação Cardiopulmonar; Parada Cardíaca Extra-Hospitalar; Algoritmos; Eletrocardiografia; Humanos; Redes Neurais de Computação; Fibrilação Ventricular

Palavras-chave

automated external defibrillator (AED); cardiopulmonary resuscitation (CPR); chest compressions; deep learning; deep neural network (DNN); electrocardiogram (ECG); feature extraction; out-of-hospital cardiac arrest (OHCA); shock advisory decision; ventricular fibrillation (VF)

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reanimação Cardiopulmonar / Parada Cardíaca Extra-Hospitalar Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google