Impulsive noise suppression and background normalization of electrocardiogram signals using morphological operators

IEEE Trans Biomed Eng. 1989 Feb;36(2):262-73. doi: 10.1109/10.16474.

Abstract

A new approach to impulsive noise suppression and background normalization of digitized electrocardiogram signals is presented using mathematical morphological operators that incorporate the shape information of a signal. A brief introduction to these nonlinear signal processing operators, as well as a detailed description of the new algorithm, is presented. Empirical results show that the new algorithm has good performance in impulsive noise suppression and background normalization.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Electrocardiography / methods*
  • Mathematical Computing*
  • Signal Processing, Computer-Assisted*