• DocumentCode
    495045
  • Title

    Application of a BP Neural Network Based on Principal Component Analysis in ECG Diagnosis of the Right Ventricular Hypertrophy

  • Author

    Liu, Guangchen ; Song, Mei

  • Author_Institution
    Sch. of Math. & Inf., Ludong Univ., Yantai, China
  • Volume
    2
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    32
  • Lastpage
    34
  • Abstract
    In this paper we propose a BP neural network model based on the principal component analysis (PCA) to predicate the Right Ventricular Hypertrophy (RVH), the results show that, the prediction accuracy of the improved model is obviously superior to the pure BP neural model without PCA.
  • Keywords
    backpropagation; electrocardiography; neural nets; principal component analysis; BP neural network; ECG diagnosis; principal component analysis; right ventricular hypertrophy; Accuracy; Artificial neural networks; Computer applications; Electrocardiography; Electronic mail; Mathematical model; Mathematics; Neural networks; Predictive models; Principal component analysis; BP neural network; ECG; Right Ventricular Hypertrophy (RVH); principal component analysis (PCA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.116
  • Filename
    5169000
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=495045