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.

Afiliación

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 en En | MEDLINE | ID: mdl-33239025

Asunto(s)

Fibrilación Atrial/diagnóstico por imagen; Árboles de Decisión; Electrocardiografía; Algoritmos; Bases de Datos Factuales; Humanos; Sensibilidad y Especificidad

Palabras clave

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

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fibrilación Atrial / Árboles de Decisión / Electrocardiografía Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google