Identifying motor units in longitudinal studies with high-density surface electromyography

Research output: Chapter in Book/Report/Conference proceedingChapter


  • Francesco Negro
  • Christopher M. Laine
  • Frank Mayer
  • Dario Farina

Colleges, School and Institutes

External organisations

  • University of Potsdam
  • University Hospital Göttingen
  • University of Southern California


We investigated the possibility to identify motor units (MUs) with high-density surface electromyography (HDEMG) over experimental sessions in different days. 10 subjects performed submaximal knee extensions across three sessions in three days separated by one week, while EMG was recorded from the vastus medialis muscle with high-density electrode grids. The shapes of the MU action potentials (MUAPs) over multiple channels extracted from HDEMG decomposition were matched across sessions by cross-correlation. Forty and twenty percent of the MUs decomposed could be tracked across two and three sessions, respectively average cross ± the sessions. For example, mean discharge rate and recruitment thresholds were measured with an intra-class correlation coefficient (ICCs) >0.80. These results strongly suggest that the same MUs were indeed identified across sessions. This possibility will allow monitoring changes in MU properties following interventions or during the progression of neuromuscular disorders.


Original languageEnglish
Title of host publicationConverging Clinical and Engineering Research on Neurorehabilitation II
Subtitle of host publicationProceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), October 18-21, 2016, Segovia, Spain
EditorsJaime Ibanez, Jose Gonzalez-Vargas, Jose Maria Azorin, Metin Akay, Jose Luis Pons
Publication statusE-pub ahead of print - 13 Oct 2016
Event3rd International Conference on NeuroRehabilitation (ICNR 2016), October 18-21, 2016, Segovia, Spain - Palacio Real de La Granja de San Ildefonso, Segovia, Spain
Duration: 18 Oct 201621 Oct 2016

Publication series

NameBiosystems and Biorobotics
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570


Conference3rd International Conference on NeuroRehabilitation (ICNR 2016), October 18-21, 2016, Segovia, Spain
Internet address