• DocumentCode
    1570823
  • Title

    Cardiac State Diagnosis using Adaptive Neuro-Fuzzy Technique

  • Author

    Kannathal, N. ; Puthusserypady, Sadasivan K. ; Min, Lim Choo ; Rajendra Acharya, U. ; Laxminarayan, Swamy

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore
  • fYear
    2006
  • Firstpage
    3864
  • Lastpage
    3867
  • Abstract
    Heart rate signals may either contain indicators of a current disease or even warnings about impending diseases. However, to manually study and pinpoint heart abnormalities in voluminous data is strenuous and time consuming. Here, an adaptive neuro-fuzzy network is used to classify heart abnormalities in ten different cardiac states and shown to be effective
  • Keywords
    diseases; electrocardiography; fuzzy neural nets; medical signal processing; signal classification; adaptive neuro-fuzzy technique; cardiac state diagnosis; diseases; heart abnormalities classification; heart rate signals; Adaptive systems; Application software; Cardiac disease; Cardiovascular diseases; Computer applications; Fuzzy neural networks; Geometry; Heart rate; Neural networks; Rhythm; Adaptive Neuro-Fuzzy Inference System; Heart Rate; LLE; SD1/SD2; SE;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1615304
  • Filename
    1615304
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1570823