Literature DB >> 11018443

Comparison of algorithms for estimation of EMG variables during voluntary isometric contractions.

D Farina1, R Merletti.   

Abstract

Many algorithms have been described in the literature for estimating amplitude, frequency variables and conduction velocity of the surface EMG signal detected during voluntary contractions. They have been used in different application areas for the non invasive assessment of muscle functions. Although many studies have focused on the comparison of different methods for information extraction from surface EMG signals, they have been carried out under different conditions and a complete comparison is not available. It is the purpose of this paper to briefly review the most frequently used algorithms for EMG variable estimation, compare them using computer generated as well as real signals and outline the advantages and drawbacks of each. In particular the paper focuses on the issue of EMG amplitude estimation with and without pre-whitening of the signal, mean and median frequency estimation with periodogram and autoregressive based algorithms both in stationary and non-stationary conditions, delay estimation for the calculation of muscle fiber conduction velocity.

Mesh:

Year:  2000        PMID: 11018443     DOI: 10.1016/s1050-6411(00)00025-0

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  34 in total

1.  Single motor unit analysis from spatially filtered surface electromyogram signals. Part 2: conduction velocity estimation.

Authors:  E Schulte; D Farina; G Rau; R Merletti; C Disselhorst-Klug
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

Review 2.  Methods for estimating muscle fibre conduction velocity from surface electromyographic signals.

Authors:  D Farina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

3.  Motor unit action potential rate and motor unit action potential shape properties in subjects with work-related chronic pain.

Authors:  Laura A C Kallenberg; Hermie J Hermens
Journal:  Eur J Appl Physiol       Date:  2004-09-29       Impact factor: 3.078

4.  Epoch length to accurately estimate the amplitude of interference EMG is likely the result of unavoidable amplitude cancellation.

Authors:  Kevin G Keenan; Francisco J Valero-Cuevas
Journal:  Biomed Signal Process Control       Date:  2008-04       Impact factor: 3.880

5.  The effect of operating time on surgeons' muscular fatigue.

Authors:  P S Slack; C J Coulson; X Ma; K Webster; D W Proops
Journal:  Ann R Coll Surg Engl       Date:  2008-11       Impact factor: 1.891

6.  On the nature of the electromyographic signals recorded during vibration exercise.

Authors:  Lin Xu; Chiara Rabotti; Massimo Mischi
Journal:  Eur J Appl Physiol       Date:  2015-01-10       Impact factor: 3.078

7.  Gesture recognition by instantaneous surface EMG images.

Authors:  Weidong Geng; Yu Du; Wenguang Jin; Wentao Wei; Yu Hu; Jiajun Li
Journal:  Sci Rep       Date:  2016-11-15       Impact factor: 4.379

8.  Neuromuscular responses of recreationally active women during a sustained, submaximal isometric leg extension muscle action at a constant perception of effort.

Authors:  Joshua L Keller; Terry J Housh; Ethan C Hill; Cory M Smith; Richard J Schmidt; Glen O Johnson
Journal:  Eur J Appl Physiol       Date:  2018-08-27       Impact factor: 3.078

9.  A novel myoelectric pattern recognition strategy for hand function restoration after incomplete cervical spinal cord injury.

Authors:  Jie Liu; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-09-27       Impact factor: 3.802

10.  Simultaneous estimation of muscle fibre conduction velocity and muscle fibre orientation using 2D multichannel surface electromyogram.

Authors:  C Grönlund; N Ostlund; K Roeleveld; J S Karlsson
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

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