• DocumentCode
    139835
  • Title

    P and T wave detectionon multichannel ECG using FRI

  • Author

    Nair, Amrish ; Marziliano, Pina

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    2269
  • Lastpage
    2273
  • Abstract
    This paper proposes a new method for detecting P and T waves in multilead ECG based on the Finite Rate of Innovation(FRI) technique [8]. A simple QRS detection scheme will be presented followed by a novel P and T wave detection algorithm. The novelty here is the modelling of the P and T wave using a Gaussian kernel. Using a 2D wavelet decomposition, the approximation coefficients are windowed based on the QRS locations. The FRI method is then used to identify the Gaussian distribution present in the window which will in turn provide the locations of the P and T wave. This method was tested on more than an hour of clean and noisy data and shows good performance in the noisy case.
  • Keywords
    electrocardiography; medical signal detection; medical signal processing; wavelet transforms; 2D wavelet decomposition; FRI technique; Gaussian kernel; P wave detection algorithm; QRS detection scheme; QRS location; T wave detection algorithm; approximation coefficients; finite rate of innovation; multichannel ECG; Approximation methods; Electrocardiography; Equations; Heart rate; Noise measurement; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944072
  • Filename
    6944072