• DocumentCode
    1716771
  • Title

    Study on association of stroke and hemorheology based on factor & cluster analysis

  • Author

    Zhang, Weipeng ; Huo, Aidi

  • Author_Institution
    Sch. of Mech. & Electr. Eng., Ningbo Dahongying Univ. (NDU), Ningbo, China
  • Volume
    3
  • fYear
    2011
  • Firstpage
    2041
  • Lastpage
    2045
  • Abstract
    To investigate the association of hemorheology and stroke, and to provide a scientific basis for the clinical features of hemorheology in patients with stroke, a large number of hemorheology data of patients with stroke were collected, and with factor analysis, five unrelated common factors were extracted from 9 indicators of the stroke patients including hemorheology, age and sex, etc., which were then classified with cluster analysis after orthogonal rotation according to common factor scores. The results of cluster were divided into 4 categories, i.e. male under 60, male over 60, female under 60 and female over 60. The results show that by combination of factor and cluster analysis methods, the clinical features of stroke can be scientifically classified. The factor and cluster analysis are of great value in the diagnosis and prevention of stroke.
  • Keywords
    haemorheology; medical signal processing; patient diagnosis; signal classification; statistical analysis; age; classification; cluster analysis; common factor scores; diagnosis; factor analysis; hemorheology; sex; stroke; Blood; Correlation; Hemodynamics; Loading; Medical diagnostic imaging; Plasmas; Viscosity; cluster analysis; factor analysis; hemorheology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-339-1
  • Type

    conf

  • DOI
    10.1109/ISWREP.2011.5893662
  • Filename
    5893662