EMG filling analysis, a new method for the assessment of recruitment of motor units with needle EMG

Date

2025-02-20

Director

Publisher

Elsevier
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-136620OB-I00/
Impacto
OpenAlexGoogle Scholar
No disponible en Scopus

Abstract

Objectives: The progression of recruitment of motor unit potentials (MUPs) during increasing voluntary contraction can provide important information about the motor units (MUs) innervating a muscle. Here, we described a method to quantitate the recruitment level of the intramuscular electromyographic (iEMG) signal during an increasing force level. Methods: Concentric needle EMG signals were recorded from the tibialis anterior of healthy subjects as force was gradually increased from 0 to maximum force. The iEMG filling process was analyzed by measuring the EMG filling factor (FF), calculated from the mean rectified iEMG and the root mean square iEMG. Results: (1) The iEMG activity at low contraction forces was “discrete” (FF<0.3) for all participants. (2) The iEMG activity at maximal effort was “full” (FF>0.5) for 83 % of the participants, whereas it was “incompletely-reduced” (0.3<FF< 0.5) for 17 % of the participants. (3) The FF increased rapidly for forces up to 20 % MVC, and then levelled off for higher forces: thus, the FF curve had a typical exponential shape. Conclusions: The iEMG filling method can be considered of general applicability since the FF increased over a wide range in all healthy participants. Significance: The EMG filling analysis may have potential to detect scenarios of MU loss and remodelling in neurogenic and motor neuron diseases.

Description

Keywords

Intramuscular EMG, Filling factor, EMG filling, Interference pattern, Concentric needle, Probability Density Function (PDF)

Department

Ingeniería Eléctrica, Electrónica y de Comunicación / Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza / Institute of Smart Cities - ISC

Faculty/School

Degree

Doctorate program

item.page.cita

Mariscal, C., Navallas, J., Malanda, A., Recalde-Villamayor, S., Rodriguez-Falces, J. (2025). EMG filling analysis, a new method for the assessment of recruitment of motor units with needle EMG. Neurophysiologie Clinique, 55(4), 1-8. https://doi.org/10.1016/j.neucli.2025.103059.

item.page.rights

© 2025 The Authors. This is an open access article under the CC BY license.

Licencia

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