• DocumentCode
    3460900
  • Title

    Detection of characteristic points of ECG using quadratic spline wavelet transfrom

  • Author

    Niknazar, Mohammad ; Vahdat, Bijan Vosoughi ; Mousavi, Seyed Reza

  • Author_Institution
    Biomed. Signal & Image Process. Lab., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2009
  • fDate
    6-8 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a method for ECG characteristic points detection based on Wavelet Transform (WT). Wavelet transform leads to more accurate results in analyzing nonstationary signals such as ECG. The selected wavelet is quadratic spline wavelet. Using quadratic spline mother wavelet, a method for detection of QRS complex and T and P waves is presented and evaluated with the help of MIT-BIH Arrhythmia database. Experimental results show excellent performance of the proposed method.
  • Keywords
    electrocardiography; medical signal detection; splines (mathematics); wavelet transforms; ECG characteristic points detection; MIT-BIH arrhythmia database; P waves; QRS complex detection; T waves; nonstationary signals; quadratic spline wavelet transfrom; Band pass filters; Databases; Electrocardiography; Laboratories; Matched filters; Signal analysis; Signal processing; Signal resolution; Spline; Wavelet transforms; ECG; P wave; QRS Complex; Quadratic Spline Wavelet Transform; T wave;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems (SCS), 2009 3rd International Conference on
  • Conference_Location
    Medenine
  • Print_ISBN
    978-1-4244-4397-0
  • Electronic_ISBN
    978-1-4244-4398-7
  • Type

    conf

  • DOI
    10.1109/ICSCS.2009.5412588
  • Filename
    5412588