• DocumentCode
    2072950
  • Title

    ECG sensor signal analysis to represent cases in a case-based stress diagnosis system

  • Author

    Begum, S. ; Ahmed, M.U. ; Funk, P.

  • Author_Institution
    Sch. of Innovation, Design & Eng., Malardalen Univ., Vasteras, Sweden
  • fYear
    2010
  • fDate
    3-5 Nov. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a signal pre-processing and feature extraction approach based on electrocardiogram (ECG) sensor signal. The extracted features are used to formulate cases in a case-based reasoning system to develop a personalized stress diagnosis system. The results obtained from the evaluation show a performance close to an expert in the domain in diagnosing stress using ECG sensor signal.
  • Keywords
    electrocardiography; feature extraction; medical diagnostic computing; medical signal processing; ECG; case-based stress diagnosis system; electrocardiogram; feature extraction; signal analysis; signal preprocessing; Artificial neural networks; Electrocardiography; Europe; Feature extraction; Medical diagnostic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on
  • Conference_Location
    Corfu
  • Print_ISBN
    978-1-4244-6559-0
  • Type

    conf

  • DOI
    10.1109/ITAB.2010.5687657
  • Filename
    5687657
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2072950