Time-Frequency Characterization of Atrial Arrhythmias Using Principal Decomposition

Abstract

A new noninvasive technique for atrial arrhythmia analysis is presented which, based on time frequency analysis and principal decomposition produces trends of the atrial signal characteristics using the surface ECG. New homogeneity measures are introduced in order to continuously measure how well the decomposed functions represent the atrial signals. A database containing signals from 20 patients with different atrial arrhythmias (mainly atrial fibrillation) was analyzed. It was found that the method is very well-suited for characterizing the signals and it is expected that the resulting functions may be useful for separating different arrhythmias.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410843

Entities

People

  • C. J. Meurling
  • L. Sornmo
  • M. Stridh
  • S. B. Olsson

Organizations

  • Lund University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Amplitude
  • Cardiac Arrhythmias
  • Classification
  • Decomposition
  • Eigenvectors
  • Frequency
  • Frequency Shift
  • Harmonics
  • Homogeneity
  • Intervals
  • Power Spectra
  • Repetition Rate
  • Residuals
  • Signal Processing
  • Spectra
  • Waves

Fields of Study

  • Engineering

Readers

  • Systems Analysis and Design
  • Wave Propagation and Nonlinear Chaotic Dynamics.