Wavelet-Based Filtering for the Clinical Evaluation of Atrial Fibrillation

Abstract

This paper describes the work in progress to develop a new ECG signal filtering technique to aid the clinical analysis of atrial fibrillation. The method separates the wavelet transform modulus maxima corresponding to the signal scalogram into a number of components. These groups of maxima lines are then used to reconstruct separate signals representing each of the features, including atrial fibrillation.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411931

Entities

People

  • C. E. Robertson
  • G. R. Clegg
  • J. N. Watson
  • N. Grubb
  • P. S. Addison

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Acoustic Signals
  • Algorithms
  • Cardiac Arrhythmias
  • Cross Correlation
  • Defibrillation
  • Detectors
  • Diseases And Disorders
  • Energy
  • Frequency
  • Frequency Domain
  • Heart Rate
  • High Resolution
  • Pilot Studies
  • Scotland
  • Wavelet Transforms
  • Waves

Fields of Study

  • Engineering

Readers

  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Image Processing and Computer Vision.
  • Trauma or Military Medicine