• DocumentCode
    333468
  • Title

    Using beat sequence filter to reduce noise in late potentials detecting

  • Author

    Mang, I. Vai ; Li-Gao, Zhou

  • Author_Institution
    Fac. of Sci. & Technol., Macau Univ, Macau
  • fYear
    1998
  • fDate
    29 Oct-1 Nov 1998
  • Firstpage
    227
  • Abstract
    Signal averaging is a general and effective method to reduce noise in ECG late potentials detection, but it may also extinguish the beat to beat variance. Other filters applied to the time sequence may destroy the late potentials when trying to filter out the noise. Filters, which are beat sequence originated, are proposed here to preserve beat to beat variance as well as late potentials as much as possible. A few different methods, including low pass and Wiener adaptive beat sequenced filters are applied and discussed
  • Keywords
    FIR filters; Gaussian noise; IIR filters; Wiener filters; adaptive filters; electrocardiography; low-pass filters; medical signal processing; signal sampling; white noise; Butterworth IIR filter; ECG late potentials detection; Gaussian white noise; Hamming window FIR filter; QRS complex; Wiener adaptive filters; beat sequence filter; beat to beat variance; low pass filters; noise reduction; signal averaging; Adaptive filters; Electrocardiography; Filtering; Finite impulse response filter; IIR filters; Low pass filters; Noise level; Noise reduction; Signal processing; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
  • Conference_Location
    Hong Kong
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5164-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.1998.745880
  • Filename
    745880