Principal Components of Recurrence Quantification Analysis of EMG

Abstract

A nonlinear dynamical signal analysis technique, recurrence quantification analysis (RQA), was applied to surface electromyograms (EMG) recorded during a series of isometric contractions. None of the ten RQA features calculated adequately related the EMG to the force level so principal components analysis was applied to combine these features into a lower number of variables. Linear regression of the first principal component gave similar lines for each subject. However, the error was too great for these lines to be used in predicting force from the principal component.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410708

Entities

People

  • David T. Mewett
  • Homer Nazeran
  • Karen J. Reynolds

Organizations

  • Flinders University

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  • Air Platforms
  • Materials and Manufacturing Processes

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