Greater muscle electrode distance and fat mass affect motor units identification from high-density surface EMG in the vastus lateralis muscle

Decomposing high-density surface electromyography (HDsEMG) signals enables non-invasive identification of motor units (MU); however, anatomical factors contribute to variability in the identified MU number across individuals. This study examined the influence of fat mass (FM%), muscle-electrode distance (MED), and muscle size on MU identification in the vastus lateralis. Thirty-three young (19-30 years) and twenty-eight older adults (66-82 years), including both sexes, performed isometric knee extensions at 15%, 35%, 50%, and 70% of maximal voluntary force (MVF) while HDsEMG signals were recorded. Whole-body and regional FM% were assessed using bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA), while MED and muscle size were measured with ultrasonography. Females exhibited greater MED and FM%, resulting in fewer identified MU than males. Significant negative correlations were found between the identified MU number and whole-body FM% (15%-70% MVF: BIA: r<sub>s</sub>=-0.508 to r<sub>s</sub>=-0.415; DXA: r<sub>s</sub>=-0.531 to r<sub>s</sub>=-0.337), leg FM% (15%-70% MVF: r<sub>s</sub>=-0.579 to r<sub>s</sub>=-0.582), thigh FM% (15%-70% MVF: r<sub>s</sub>=-0.614 to r<sub>s</sub>=-0.620), and MED (15%-70% MVF: r<sub>s</sub>=-0.581 to r<sub>s</sub>=-0.670). Notably, segmented regression analysis revealed a threshold at ~ 0.7 cm MED, below which a greater number of MU could be identified. Our findings highlight the negative impact of high FM% and MED on MU identification from HDsEMG decomposition.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-20
DOI
https://doi.org/10.1038/s41598-025-24966-w
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Greater muscle electrode distance and fat mass affect motor units identification from high-density surface EMG in the vastus lateralis muscle

Martino V. Franchi, Alessandro Sampieri, Tatiana Moro, Antonio Paoli et al.
Scientific Reports
Muscle activation and electromyography studies
article

Greater muscle electrode distance and fat mass affect motor units identification from high-density surface EMG in the vastus lateralis muscle

Martino V. Franchi, Alessandro Sampieri, Tatiana Moro, Antonio Paoli, Francesco Casolo, Francesco Campa, Gioi Spinello
article en

Abstract

Decomposing high-density surface electromyography (HDsEMG) signals enables non-invasive identification of motor units (MU); however, anatomical factors contribute to variability in the identified MU number across individuals. This study examined the influence of fat mass (FM%), muscle-electrode distance (MED), and muscle size on MU identification in the vastus lateralis. Thirty-three young (19-30 years) and twenty-eight older adults (66-82 years), including both sexes, performed isometric knee extensions at 15%, 35%, 50%, and 70% of maximal voluntary force (MVF) while HDsEMG signals were recorded. Whole-body and regional FM% were assessed using bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA), while MED and muscle size were measured with ultrasonography. Females exhibited greater MED and FM%, resulting in fewer identified MU than males. Significant negative correlations were found between the identified MU number and whole-body FM% (15%-70% MVF: BIA: r<sub>s</sub>=-0.508 to r<sub>s</sub>=-0.415; DXA: r<sub>s</sub>=-0.531 to r<sub>s</sub>=-0.337), leg FM% (15%-70% MVF: r<sub>s</sub>=-0.579 to r<sub>s</sub>=-0.582), thigh FM% (15%-70% MVF: r<sub>s</sub>=-0.614 to r<sub>s</sub>=-0.620), and MED (15%-70% MVF: r<sub>s</sub>=-0.581 to r<sub>s</sub>=-0.670). Notably, segmented regression analysis revealed a threshold at ~ 0.7 cm MED, below which a greater number of MU could be identified. Our findings highlight the negative impact of high FM% and MED on MU identification from HDsEMG decomposition.

Scientific ReportsVol. 15(1)
University of Padua (IT)
European Commission
Openalex Percentile: Top 66%
Muscle activation and electromyography studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.