The Effect of the Whitening Matrix in Determining the Final Solution in Blind Source Separation of Biomedical Signals

Abstract

In this paper, independent component analysis (ICA) is used for blind source separation of biomedical signals. Visual and quantitative tests of the ability of ICA to separate signals were performed using a fast ICA algorithm. Results obtained from simulated and FECG signals show that the ICA performance using the whitening matrix of the mixed signals was superior to that of random initial weights.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412627

Entities

People

  • Hasan Al-nashash
  • Husein Abdul-hamid

Organizations

  • American University of Sharjah

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Cardiac Arrhythmias
  • Computational Science
  • Computer Simulations
  • Data Science
  • Databases
  • Electrocardiography
  • Factor Analysis
  • Health Care
  • Health Services
  • Heart
  • Information Processing
  • Information Science
  • Information Systems
  • Monitoring
  • Random Variables

Fields of Study

  • Engineering

Readers

  • Neural Network Machine Learning.
  • Radar Systems Engineering.

Technology Areas

  • Biotechnology