An effective frequency-domain feature of atrial fibrillation based on time-frequency analysis.

Hu, Yusong; Zhao, Yantao; Liu, Jihong; Pang, Jin; Zhang, Chen; Li, Peizhe

Hu, Yusong; Zhao, Yantao; Liu, Jihong; Pang, Jin; Zhang, Chen; Li, Peizhe.

Afiliação

Hu Y; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Zhao Y; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Liu J; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China. liujihong@ise.neu.edu.cn.
Pang J; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Zhang C; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Li P; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.

BMC Med Inform Decis Mak ; 20(1): 308, 2020 11 25.

Article em En | MEDLINE | ID: mdl-33239025

Assuntos

Fibrilação Atrial/diagnóstico por imagem; Árvores de Decisões; Eletrocardiografia; Algoritmos; Bases de Dados Factuais; Humanos; Sensibilidade e Especificidade

Palavras-chave

Atrial fibrillation; Decision tree algorithm; ECG; Frequency-domain feature; Timefrequency analysis

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Árvores de Decisões / Eletrocardiografia Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google