Decomposition of Superimposed Waveforms Using the Cross Time Frequency Transform

Abstract

The identification of the timing of the discharges of groups of muscle fibers (motor units) is of utmost importance in research into the strategies employed by the central nervous system in producing muscle force and in the diagnosis of neuromuscular diseases. The process involves the recognition of unique shapes (action potentials) contributed by different motor units at random times throughout a muscle contraction. This paper addresses a specific aspect of the identification process: the decomposition of the compound signal when the action potentials of two or more motor units are superimposed. We propose a cross-time- frequency-based procedure to identify which two (out of a previously identified collection of waveforms) are included in a superposition.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA409637

Entities

People

  • J. A. Gonzalez-cueto
  • P. Bonato
  • Z. Erim

Organizations

  • Boston University

Tags

Communities of Interest

  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Ambiguity
  • Biomedical Engineering
  • Central Nervous System
  • Classification
  • Decomposition
  • Engineering
  • Filtration
  • Frequency
  • Frequency Domain
  • Identification
  • Muscle Fibers
  • Muscles
  • Nervous System
  • Neuromuscular Diseases
  • Recognition
  • Signal Processing
  • Template Patterns

Fields of Study

  • Engineering

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Neuroscience
  • Systems Analysis and Design