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The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals.
Chen, Zheng; Ono, Naoaki; Chen, Wei; Tamura, Toshiyo; Altaf-Ul-Amin, M D; Kanaya, Shigehiko; Huang, Ming.
Afiliación
  • Chen Z; Graduate School of Science and Technology, Nara Insitute of Science and Technology, Japan.
  • Ono N; Graduate School of Science and Technology, Nara Insitute of Science and Technology, Japan; Data Science Center, Nara Insitute of Science and Technology, Japan.
  • Chen W; Center for Intelligent Medical Electronics, Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, China.
  • Tamura T; Institute for Healthcare Robotics, Waseda university, Japan.
  • Altaf-Ul-Amin MD; Graduate School of Science and Technology, Nara Insitute of Science and Technology, Japan.
  • Kanaya S; Graduate School of Science and Technology, Nara Insitute of Science and Technology, Japan; Data Science Center, Nara Insitute of Science and Technology, Japan.
  • Huang M; Graduate School of Science and Technology, Nara Insitute of Science and Technology, Japan. Electronic address: alex-mhuang@is.naist.jp.
Comput Methods Programs Biomed ; 205: 106102, 2021 Jun.
Article en En | MEDLINE | ID: mdl-33933712
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Atrial / Complejos Prematuros Ventriculares / Paro Cardíaco Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Irlanda
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Atrial / Complejos Prematuros Ventriculares / Paro Cardíaco Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Irlanda