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Neurophysiologie Clinique
Article . 2025 . Peer-reviewed
License: CC BY
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EMG filling analysis, a new method for the assessment of recruitment of motor units with needle EMG

Authors: Cristina Mariscal; Javier Navallas; Armando Malanda; Silvia Recalde-Villamayor; Javier Rodriguez-Falces;

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

Abstract

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.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.(1) The iEMG activity at low contraction forces was "discrete" (FF0.5) for 83 % of the participants, whereas it was "incompletely-reduced" (0.3

Keywords

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

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
hybrid
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