Literature DB >> 16026846

EMGLAB: an interactive EMG decomposition program.

Kevin C McGill1, Zoia C Lateva, Hamid R Marateb.   

Abstract

This paper describes an interactive computer program for decomposing EMG signals into their component motor-unit potential (MUP) trains and for averaging MUP waveforms. The program is able to handle single- or multi-channel signals recorded by needle or fine-wire electrodes during low and moderate levels of muscular contraction. It includes advanced algorithms for template matching, resolving superimpositions, and waveform averaging, as well as a convenient user interface for manually editing and verifying the results. The program also provides the ability to inspect the discharges of individual motor units more closely by subtracting out interfering activity from other MUP trains. Decomposition accuracy was assessed by cross-checking pairs of signals recorded by nearby electrodes during the same contraction. The results show that 100% accuracy can be achieved for MUPs with peak-to-peak amplitudes greater than 2.5 times the rms signal amplitude. Examples are presented to show how decomposition can be used to investigate motor-unit recruitment and discharge behavior, to study motor-unit architecture, and to detect action potential blocking in doubly innervated muscle fibers.

Mesh:

Year:  2005        PMID: 16026846     DOI: 10.1016/j.jneumeth.2005.05.015

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  76 in total

1.  Recruitment of motor units in two fascicles of the semispinalis cervicis muscle.

Authors:  Jochen Schomacher; Jakob Lund Dideriksen; Dario Farina; Deborah Falla
Journal:  J Neurophysiol       Date:  2012-03-07       Impact factor: 2.714

2.  Motor unit recruitment strategies and muscle properties determine the influence of synaptic noise on force steadiness.

Authors:  Jakob L Dideriksen; Francesco Negro; Roger M Enoka; Dario Farina
Journal:  J Neurophysiol       Date:  2012-03-14       Impact factor: 2.714

3.  Recruitment of motor units in the medial gastrocnemius muscle during human quiet standing: is recruitment intermittent? What triggers recruitment?

Authors:  Taian M M Vieira; Ian D Loram; Silvia Muceli; Roberto Merletti; Dario Farina
Journal:  J Neurophysiol       Date:  2011-10-12       Impact factor: 2.714

4.  Hierarchical control of motor units in voluntary contractions.

Authors:  Carlo J De Luca; Paola Contessa
Journal:  J Neurophysiol       Date:  2011-10-05       Impact factor: 2.714

5.  Rigorous a posteriori assessment of accuracy in EMG decomposition.

Authors:  Kevin C McGill; Hamid R Marateb
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-07-15       Impact factor: 3.802

6.  The innervation and organization of motor units in a series-fibered human muscle: the brachioradialis.

Authors:  Zoia C Lateva; Kevin C McGill; M Elise Johanson
Journal:  J Appl Physiol (1985)       Date:  2010-04-01

7.  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

8.  Postural activation of the human medial gastrocnemius muscle: are the muscle units spatially localised?

Authors:  Taian M M Vieira; Ian D Loram; Silvia Muceli; Roberto Merletti; Dario Farina
Journal:  J Physiol       Date:  2010-11-29       Impact factor: 5.182

9.  Robust and accurate decoding of motoneuron behaviour and prediction of the resulting force output.

Authors:  Christopher K Thompson; Francesco Negro; Michael D Johnson; Matthew R Holmes; Laura Miller McPherson; Randall K Powers; Dario Farina; Charles J Heckman
Journal:  J Physiol       Date:  2018-06-09       Impact factor: 5.182

10.  Surface EMG decomposition based on K-means clustering and convolution kernel compensation.

Authors:  Yong Ning; Xiangjun Zhu; Shanan Zhu; Yingchun Zhang
Journal:  IEEE J Biomed Health Inform       Date:  2014-06-02       Impact factor: 5.772

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.