Literature DB >> 17363274

Inter-operator agreement in decomposition of motor unit firings from high-density surface EMG.

Bert U Kleine1, Johannes P van Dijk, Machiel J Zwarts, Dick F Stegeman.   

Abstract

High-density surface EMG can be used to obtain a spatially selective representation of several motor unit action potentials. Recently, a decomposition of the signal into the underlying motor neuron firing patterns has been described. The reliability of the algorithm has not yet been tested. Eleven healthy subjects participated. High-density surface EMG was recorded from the vastus lateralis muscle during an isometric knee extension. Two independent operators analyzed the signals. After operator-supervised cluster analysis of spikes, motor unit action potential templates were constructed and an automatic template matching was performed. The decomposition was adjusted by hand. Agreement between operators was calculated for the number of coincident firings. Bland-Altman plots of peak-to-peak amplitude were constructed and limits of agreement were calculated. For completely decomposed motor unit action potential trains the between-operator agreement of firing events was very high. The peak-to-peak amplitude of monopolar motor unit action potentials was 115microV (SD 74microV). The agreement was within 3microV and independent of amplitude. With partial decomposition agreement within 26microV was achieved. For bipolarly derived motor unit action potentials the peak-to-peak amplitude was 54microV (SD 49microV), the agreement was within 3microV. Only for recordings obtained from a force level below 5% of the maximum voluntary contraction full decomposition was possible. It was concluded that when full decomposition is achieved, two independent operators are likely to arrive at nearly identical firing patterns.

Mesh:

Year:  2007        PMID: 17363274     DOI: 10.1016/j.jelekin.2007.01.010

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


  7 in total

1.  Detecting the unique representation of motor-unit action potentials in the surface electromyogram.

Authors:  Dario Farina; Francesco Negro; Marco Gazzoni; Roger M Enoka
Journal:  J Neurophysiol       Date:  2008-05-21       Impact factor: 2.714

2.  Changes in motor unit behavior following isometric fatigue of the first dorsal interosseous muscle.

Authors:  Lara McManus; Xiaogang Hu; William Z Rymer; Madeleine M Lowery; Nina L Suresh
Journal:  J Neurophysiol       Date:  2015-03-11       Impact factor: 2.714

3.  A new and fast approach towards sEMG decomposition.

Authors:  Ivan Gligorijević; Johannes P van Dijk; Bogdan Mijović; Sabine Van Huffel; Joleen H Blok; Maarten De Vos
Journal:  Med Biol Eng Comput       Date:  2013-01-18       Impact factor: 2.602

4.  Accuracy assessment of CKC high-density surface EMG decomposition in biceps femoris muscle.

Authors:  H R Marateb; K C McGill; A Holobar; Z C Lateva; M Mansourian; R Merletti
Journal:  J Neural Eng       Date:  2011-10-06       Impact factor: 5.379

5.  Error reduction in EMG signal decomposition.

Authors:  Joshua C Kline; Carlo J De Luca
Journal:  J Neurophysiol       Date:  2014-09-10       Impact factor: 2.714

6.  Characteristics of the Motor Units during Sternocleidomastoid Isometric Flexion among Patients with Mechanical Neck Disorder and Asymptomatic Individuals.

Authors:  Chia-Chi Yang; Fong-Chin Su; Po-Ching Yang; Hwai-Ting Lin; Lan-Yuen Guo
Journal:  PLoS One       Date:  2016-12-12       Impact factor: 3.240

7.  Analysis and Biophysics of Surface EMG for Physiotherapists and Kinesiologists: Toward a Common Language With Rehabilitation Engineers.

Authors:  Lara McManus; Giuseppe De Vito; Madeleine M Lowery
Journal:  Front Neurol       Date:  2020-10-15       Impact factor: 4.003

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.