• DocumentCode
    2499024
  • Title

    Application of a BP Network Based on PCA in ECG Diagnosis of the LVH

  • Author

    Liu, Guangchen ; Song, Mei

  • Author_Institution
    Sch. of Math. & Inf., Ludong Univ., Yantai, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    A BP neural network model based on the principal component analysis (PCA) was proposed to predicate the Left Ventricular Hypertrophy (LVH), the results showed that, the prediction accuracy of the modified model (99.6%) was superior to the pure BP neural model without PCA (98.5%) obviously.
  • Keywords
    backpropagation; blood vessels; cardiovascular system; electrocardiography; medical computing; neural nets; neurophysiology; principal component analysis; BP neural network model; ECG diagnosis; LVH; PCA; electrocardiography; left ventricular hypertrophy; principal component analysis; Accuracy; Artificial neural networks; Electrocardiography; Electronic mail; Heart; Mathematical model; Mathematics; Neural networks; Predictive models; Principal component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162380
  • Filename
    5162380
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2499024