Literature DB >> 17271605

Improved resolution of pulse superpositions in a knowledge-based system EMG decomposition.

S Hamid Nawab1, Robert Wotiz, Carlo J De Luca.   

Abstract

We have improved the accuracy (sensitivity x specificity) of a knowledge-based system from 90% to well above 95% in decomposing complex EMG 3-channel data into its constituent motor unit action potential (MUAP) trains. The key to achieving this improvement is our use of a probabilistic framework for resolving pulse superpositions through the application of utility maximization at the suprasegmental level.

Year:  2004        PMID: 17271605     DOI: 10.1109/IEMBS.2004.1403092

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  Relationship between firing rate and recruitment threshold of motoneurons in voluntary isometric contractions.

Authors:  Carlo J De Luca; Emily C Hostage
Journal:  J Neurophysiol       Date:  2010-06-16       Impact factor: 2.714

2.  A simulation study for a surface EMG sensor that detects distinguishable motor unit action potentials.

Authors:  Jin Lee; Alexander Adam; Carlo J De Luca
Journal:  J Neurosci Methods       Date:  2007-09-18       Impact factor: 2.390

3.  High-yield decomposition of surface EMG signals.

Authors:  S Hamid Nawab; Shey-Sheen Chang; Carlo J De Luca
Journal:  Clin Neurophysiol       Date:  2010-04-28       Impact factor: 3.708

4.  Resolving superimposed MUAPs using particle swarm optimization.

Authors:  Hamid Reza Marateb; Kevin C McGill
Journal:  IEEE Trans Biomed Eng       Date:  2008-09-30       Impact factor: 4.538

5.  Decomposition of indwelling EMG signals.

Authors:  S Hamid Nawab; Robert P Wotiz; Carlo J De Luca
Journal:  J Appl Physiol (1985)       Date:  2008-05-15

6.  Comparative Analysis of Wavelet-based Feature Extraction for Intramuscular EMG Signal Decomposition.

Authors:  M Ghofrani Jahromi; H Parsaei; A Zamani; M Dehbozorgi
Journal:  J Biomed Phys Eng       Date:  2017-12-01
  6 in total

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