Multivariate approach to QRS detection


Journal Article

We have developed a QRS detection algorithm based on a multivariate model, in which three independent, normalized measures -- amplitude, first difference, and spatial frequency -- are combined in a weighted sum to generate an indicator variable that is then compared to a detection threshold. To increase sensitivity, we first applied and FIR, band-pass filter consisting of a cascaded series of running medians and means. The techniques appears to be exceedingly robust, correctly detecting even aberrant QRS complexes in noise-corrupted ECGs.

Duke Authors

Cited Authors

  • Bond, AB; Greco, EC; Bowser, R; Kadri, NN; Sketch, MH

Published Date

  • December 1, 1993

Published In

Volume / Issue

  • 15 / pt 2

Start / End Page

  • 675 - 676

International Standard Serial Number (ISSN)

  • 0589-1019

Citation Source

  • Scopus