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@article{de:2022:10.1101/2022.02.05.479100,
author = {de, Oliveira DS and Casolo, A and Balshaw, TG and Maeo, S and Lanza, MB and Martin, NRW and Maffulli, N and Kinfe, TM and Eskofier, B and Folland, JP and Farina, D and Del, Vecchio A},
doi = {10.1101/2022.02.05.479100},
title = {Neural decoding from surface high-density EMG signals: influence of anatomy and synchronization on the number of identified motor units},
url = {http://dx.doi.org/10.1101/2022.02.05.479100},
year = {2022}
}
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TY  - JOUR
AB  - <jats:title>Abstract</jats:title><jats:sec><jats:title>Objective</jats:title><jats:p>High-density surface electromyography (HD-sEMG) allows the reliable identification of individual motor unit (MU) action potentials. Despite the accuracy in decomposition, there is a large variability in the number of identified MUs across individuals and exerted forces. Here we present a systematic investigation of the anatomical and neural factors that determine this variability.</jats:p></jats:sec><jats:sec><jats:title>Approach</jats:title><jats:p>We investigated factors of influence on HD-sEMG decomposition, such as synchronization of MU discharges, distribution of MU territories, muscle-electrode distance (MED - subcutaneous fat thickness), maximum anatomical cross-sectional area (ACSA<jats:sub>max</jats:sub>), and fiber CSA. For this purpose, we recorded HD-sEMG signals, ultrasound, magnetic resonance imaging, and muscle biopsy of the biceps brachii muscle from two groups of participants – untrained-controls (UT=14) and strength-trained (>3 years of training, ST=16) – while they performed isometric ramp contractions with elbow flexors (at 15, 35, 50 and 70% maximum voluntary torque - MVT). We assessed the correlation between the number of accurately detected MUs by HD-sEMG decomposition and each measured parameter, for each target force level. Multiple regression analysis was then applied.</jats:p></jats:sec><jats:sec><jats:title>Main results</jats:title><jats:p>ST subjects showed lower MED (UT: 4.8 ± 1.4 vs. ST: 3.7 ± 0.8 mm) associated to a greater number of identified motor units (UT: 21.3 ± 10.2 vs. ST: 29.2 ± 11.8 MUs/subject). Both groups showed a negative correlation between MED and the number of identified MUs at low forces (r= −0.6, p=0.002 at 15% MVT). Moreover, the number of identified MUs was pos
AU  - de,Oliveira DS
AU  - Casolo,A
AU  - Balshaw,TG
AU  - Maeo,S
AU  - Lanza,MB
AU  - Martin,NRW
AU  - Maffulli,N
AU  - Kinfe,TM
AU  - Eskofier,B
AU  - Folland,JP
AU  - Farina,D
AU  - Del,Vecchio A
DO  - 10.1101/2022.02.05.479100
PY  - 2022///
TI  - Neural decoding from surface high-density EMG signals: influence of anatomy and synchronization on the number of identified motor units
UR  - http://dx.doi.org/10.1101/2022.02.05.479100
ER  -
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