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

dc.contributor.authorMariscal Aguilar, Cristina
dc.contributor.authorNavallas Irujo, Javier
dc.contributor.authorMalanda Trigueros, Armando
dc.contributor.authorRecalde Villamayor, Silvia
dc.contributor.authorRodríguez Falces, Javier
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritzaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.date.accessioned2025-04-28T09:38:25Z
dc.date.issued2025-02-20
dc.date.updated2025-04-28T09:25:45Z
dc.description.abstractObjectives: 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.en
dc.description.sponsorshipThis work has been supported by the Spanish Ministry of Science and Innovation under the project PID2022-136620OB-I00
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMariscal, 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.
dc.identifier.doi10.1016/j.neucli.2025.103059
dc.identifier.issn0987-7053
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/54030
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofNeurophysiologie Clinique (2025), vol. 55, núm. 4, 103059
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-136620OB-I00/
dc.relation.publisherversionhttps://doi.org/10.1016/j.neucli.2025.103059
dc.rights© 2025 The Authors. This is an open access article under the CC BY license.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectIntramuscular EMGen
dc.subjectFilling factoren
dc.subjectEMG fillingen
dc.subjectInterference patternen
dc.subjectConcentric needleen
dc.subjectProbability Density Function (PDF)en
dc.titleEMG filling analysis, a new method for the assessment of recruitment of motor units with needle EMGen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication7968587c-4845-47de-8c4c-86abadcdce4a
relation.isAuthorOfPublication9650a6c3-5f76-4005-9979-c140061b5e3c
relation.isAuthorOfPublication14bdde9e-ab9d-462d-87c3-7da2c7e13976
relation.isAuthorOfPublicationd63d7335-22dd-420f-b86e-b73262f0da5b
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relation.isAuthorOfPublication.latestForDiscoveryd63d7335-22dd-420f-b86e-b73262f0da5b

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