Scholarlink

<p>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&#xa0;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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月20日

查看全文
  • Alessandro Sampieri,
  • Gioi Spinello,
  • Martino V. Franchi,
  • Francesco Campa,
  • Antonio Paoli,
  • Tatiana Moro,
  • Andrea Casolo

摘要

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: rs=-0.508 to rs=-0.415; DXA: rs=-0.531 to rs=-0.337), leg FM% (15%-70% MVF: rs=-0.579 to rs=-0.582), thigh FM% (15%-70% MVF: rs=-0.614 to rs=-0.620), and MED (15%-70% MVF: rs=-0.581 to rs=-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.