• DocumentCode
    3086800
  • Title

    Premature ventricular contraction arrhythmia detection using wavelet coefficients

  • Author

    Adnane, Messai ; Belouchrani, A.

  • Author_Institution
    Electr. Eng. Dept., Ecole Nat. Polytech., Algiers, Algeria
  • fYear
    2013
  • fDate
    12-15 May 2013
  • Firstpage
    170
  • Lastpage
    173
  • Abstract
    Premature ventricular contraction (PVC) detection is an important task in critical care medicine. However, making this task automatic is not that simple. In this paper, we are describing a method for PVC arrhythmia detection. This method is based on the use of wavelet detail coefficients to discriminate between normal beats and abnormal beats (PVCs). The proposed method was tested against selected records of the MIT-BIH Arrhythmia Database (MITDB). Results are very satisfactory and show that it is possible to detect PVC arrhythmia using wavelet detail coefficients applied to QRS complexes.
  • Keywords
    diseases; medical image processing; patient care; wavelet transforms; MIT-BIH arrhythmia database; MITDB; PVC arrhythmia detection; QRS complexes; abnormal beats; critical care medicine; normal beats; premature ventricular contraction arrhythmia detection; wavelet coefficients; Accuracy; Databases; Discrete wavelet transforms; Electrocardiography; Heart rate variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signal Processing and their Applications (WoSSPA), 2013 8th International Workshop on
  • Conference_Location
    Algiers
  • Type

    conf

  • DOI
    10.1109/WoSSPA.2013.6602356
  • Filename
    6602356