Wavelet Based Event Detection in Pacemakers

Abstract

This paper presents a detection algorithm for pacemakers which is based on a signal model including a linear combination of descriptive functions. The functions are defined as different time scales of the two fundamental waveforms in the electrogram. An efficient detector structure is provided by the use of a dyadic wavelet transform with integer filter coefficients, followed by a generalized likelihood ratio test. The results show that reliable detection can be obtained for moderate to high noise levels for some common noise sources.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410307

Entities

People

  • L. Sornmo
  • M. Astrom
  • S. Olmos

Organizations

  • Lund University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Databases
  • Detection
  • Detectors
  • Electrical Equipment
  • Electrocardiography
  • Event Detection
  • False Alarms
  • Filters
  • Frequency
  • Frequency Bands
  • Health Services
  • Magnetic Resonance
  • Noise
  • Probability
  • Test And Evaluation

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Linear Algebra
  • Medical Imaging.