• DocumentCode
    2701336
  • Title

    Predictive detection methods as the next era in biological signal processing: a case study of ECG analysis

  • Author

    Namarvar, H.H. ; Shahid, A. Vahid

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    68
  • Abstract
    An idea of a detection method in biological signal processing to predict the possibility of proneness to a disease is described. The goal of this study is to introduce a new methodology in better understanding of biological signals and create new tools for predictive diagnosis rather than detection of the existing defects, so that, make it possible to give a proper preventative procedure/treatment to the patient in advance. Although the complete achievement of such a goal is very far, it is proposed by a prospective study on the ECG signals that the development of such a method is possible. The preliminary results have been encouraging enough to justify our idea. Such a new generation of predictive detection methods would have a profound impact on the medical diagnosis.
  • Keywords
    electrocardiography; medical signal detection; medical signal processing; ECG analysis; biological signal processing; biological signals understanding; disease proneness prediction; electrodiagnostics; medical diagnosis; predictive detection methods; preventative procedure; Biomedical engineering; Biomedical signal processing; Cardiac disease; Cardiology; Cardiovascular diseases; Computer aided software engineering; Electrocardiography; Feature extraction; Risk analysis; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7612-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.2002.1134391
  • Filename
    1134391