A New Approach to the P-Wave Detection and Classification Based Upon Application of Wavelet Neural Network

Abstract

Paper presents a new approach to P wave classification problem which is based upon the application of a new recently develop and widely described tool such as Wavelet Neural Network, The novel idea of classification is based on creation of own non-standard wavelet exactly as a P wave morphology template and then calculation of wavelet transform being a first layer of classical multi-layer perceptron. The mentioned first layer works as a feature selector and extractor.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410247

Entities

People

  • A. Wrzesniowski
  • E. J. Tkacz
  • P. Kostka
  • T. Domider

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Cardiovascular Surgery
  • Classification
  • Detection
  • Electrical Engineering
  • Electronics
  • Engineering
  • Feature Extraction
  • Heart Diseases
  • Identification
  • Neural Networks
  • Performance Tests
  • Recognition
  • Signal Processing
  • Simulations
  • Standards
  • Template Patterns
  • Wavelet Transforms

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Integrated Circuit Design and Technology.
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks