RESEARCH ON ADVANCED COMPUTER METHODS FOR BIOLOGICAL DATA PROCESSING

Abstract

The purpose of the research is the development of mathematical methods and computer programs for the extraction of meaningful information from biological, primarily neurophysiological, measurements. Emphasis was placed on statistical methods suitable for separating two or more random signals and which provide insight into the underlying mechanism by which the signals are generated. Loeve-Karhunen expansion and discriminant analysis methods are applied to the problem of time signal classification. Experiments are performed both on computer generated time signals and on electroencephalograms. Methods of coping with the singularity problem arising from a small sample size are investigated.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1966
Accession Number
AD0637452

Entities

People

  • D. N. Streeter
  • J. Raviv

Organizations

  • IBM Thomas J. Watson Research Center

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Classification
  • Computer Programs
  • Computers
  • Contracts
  • Data Science
  • Discriminant Analysis
  • Eigenvectors
  • Electroencephalography
  • Factor Analysis
  • Information Processing
  • Information Science
  • Integral Equations
  • Measurement
  • Power Spectra
  • Statistical Analysis
  • Statistics
  • Time Signals

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Neural Network Machine Learning.
  • Systems Analysis and Design