Automatic Detection Algorithm for Atrial Fibrillation Based on Atrial Fibrillation and Suspicious Boundary of Sinus Rhythm.

With the approaching of the aging of the population in China, the risk of heart disease increases with age. Atrial fibrillation as a common heart disease has seriously affected people's lives and health. A study of atrial fibrillation, dynamic electrocardiogram is usually used to analyze atrial fibr...

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Publicado en:Journal of Medical Systems Vol. 43; no. 6; pp. 1 - 8
Autores principales: Cui, Hailing, Dong, Ning
Formato: equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Jun2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2019
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-019-1283-8
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        atl: Automatic Detection Algorithm for Atrial Fibrillation Based on Atrial Fibrillation and Suspicious Boundary of Sinus Rhythm.
      aug:
        au:
          Cui, Hailing
          Dong, Ning
        affil: Yan'an People's Hospltal, 716000, Yanan, Shaanxi Province, China
      sug:
        subj:
          Atrial Fibrillation Diagnosis
          Algorithms Evaluation
          Algorithms Utilization
          Electrocardiography Methods
          Quality Improvement
          Aging China
          Human
          China
          Computing Methodologies
          Validity
          Data Analysis
          Heart Rate
          Descriptive Statistics
      ab: With the approaching of the aging of the population in China, the risk of heart disease increases with age. Atrial fibrillation as a common heart disease has seriously affected people's lives and health. A study of atrial fibrillation, dynamic electrocardiogram is usually used to analyze atrial fibrillation. But the accuracy of this analytical method may be artificially disturbed, which causes errors in the process of data analysis. Therefore, the computation analysis is carried by combining the automatic detection algorithm. By using the calculation of computer algorithm, the accuracy of data analysis of dynamic electrocardiogram can be increased. And through the test of automatic detection algorithm, the effectiveness of the algorithm can be found.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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