A Comprehensive Nonlinear Analysis of Electromyogram

Abstract

To test whether electromyogram (EMG) is nonlinear deterministic signal or just random noise, we comprehensively analyze four EMGs of an adult woman. At first, we calculate the correlation time, L-Z complexity, approximate entropy (ApEn), maximum Lyapunov exponent (Ly sub 1) and correlation dimension (D(sub corr)) of each EMG data and its ten surrogate data. We find that all the results are quite different between each original EMG and its ten surrogate data, i.e. EMG is not a linear random noise, but a nonlinear deterministic signal (though it does not like a low dimensional chaos). EMG is also assessed with recurrence plot analysis (RPA), iterated function system (FS) clumpiness test, singular-value decomposition, and Pearson product-moment correlation coefficient (Pearson's correlation). All the results of these assessments show that EMG is a signal of high dimensional (D(sub corr))range from 4 to 6) chaos.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412593

Entities

People

  • Bingzheng Liu
  • Yanli Meng
  • Yuping Liu

Organizations

  • Northeast Normal University

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Classification
  • Data Acquisition
  • Data Science
  • Data Sets
  • Eigenvalues
  • Health Services
  • Military Research
  • Muscular Diseases
  • Nervous System
  • Noise
  • Nonlinear Analysis
  • Physiological Processes
  • Statistical Analysis
  • Therapy
  • White Noise

Readers

  • Approximation Theory.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Wave Propagation and Nonlinear Chaotic Dynamics.