Motor unit tracking with high-density surface EMG

被引:28
|
作者
Maathuis, Ellen M. [1 ]
Drenthen, Judith [1 ]
van Dijk, Johannes P. [2 ,3 ]
Visser, Gerhard H. [1 ]
Blok, Joleen H. [1 ]
机构
[1] Univ Med Ctr Rotterdam, Erasmus MC, Dept Clin Neurophysiol, NL-3000 CA Rotterdam, Netherlands
[2] Radboud Univ Nijmegen, Med Ctr, Dept Clin Neurophysiol, Nijmegen, Netherlands
[3] Vrije Univ Amsterdam, Inst Fundamental & Clin Human Movement Sci, Amsterdam, Netherlands
关键词
Motor unit; Motor unit tracking; High-density surface EMG;
D O I
10.1016/j.jelekin.2008.09.001
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Following (tracking) individual motor units over time can provide important new insights, both into the relationships among various motor unit (MU) morphological and functional properties and into how these properties are influenced by neuromuscular disorders or interventions. The present study aimed to determine whether high-density surface EMG (HD-sEMG) recordings, which use an array of surface electrodes over a muscle, can increase the yield of MU tracking studies in terms of the number of MUs that can be tracked. For that purpose, four HD-sEMG recording sessions were performed on the thenar muscles of ten healthy subjects. Decomposition of the recorded composite responses yielded a study total of 2849 motor unit action potentials (MUAPs). MUAPs that were found in both of the first two sessions, performed on the same day, were defined as trackable MUAPs. Our results show that 22 (median value; range, 1334) MUAPs per nerve were trackable, which represented approximately 5% of the total MU population. Of these trackable MUAPs, 16 (11-26) could also be found in one or both of the third and fourth sessions, which were performed between I and 13 weeks after the initial studies. Nine (4-18) MUAPs were found in all four sessions. Many of the characteristic MUAP shapes matched well between sessions, even when these sessions were several weeks apart. However, some MUAPs seem very sensitive to changes in arm position or in the muscle's morphology (e.g., to changes in muscle fiber length due to variable degrees of thumb flexion or extension), particularly those from larger and/or superficial MUs. Standardization is, therefore, essential to detect even small MUAP changes, as may occur with pathology or interventions. If this is accomplished, MU tracking with HD-sEMG may prove to be a powerful tool for a promising type of neurophysiological investigation. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:920 / 930
页数:11
相关论文
共 50 条
  • [41] Deep Learning for Robust Decomposition of High-Density Surface EMG Signals
    Clarke, Alexander Kenneth
    Atashzar, Seyed Farokh
    Vecchio, Alessandro Del
    Barsakcioglu, Deren
    Muceli, Silvia
    Bentley, Paul
    Urh, Filip
    Holobar, Ales
    Farina, Dario
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 68 (02) : 526 - 534
  • [42] High-Density Surface EMG Denoising Using Independent Vector Analysis
    Wang, Kun
    Chen, Xun
    Wu, Le
    Zhang, Xu
    Chen, Xiang
    Wang, Z. Jane
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (06) : 1271 - 1281
  • [43] Analysis of motor units with high-density surface electromyography
    Merletti, Roberto
    Holobar, Ales
    Farina, Dario
    JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2008, 18 (06) : 879 - 890
  • [44] Neural decoding from surface high-density EMG signals: influence of anatomy and synchronization on the number of identified motor units
    de Oliveira, Daniela Souza
    Casolo, Andrea
    Balshaw, Thomas G.
    Maeo, Sumiaki
    Lanza, Marcel Bahia
    Martin, Neil R. W.
    Maffulli, Nicola
    Kinfe, Thomas Mehari
    Eskofier, Bjoern M.
    Folland, Jonathan P.
    Farina, Dario
    Del Vecchio, Alessandro
    JOURNAL OF NEURAL ENGINEERING, 2022, 19 (04)
  • [45] Motor unit size estimation: Confrontation of surface EMG with macro EMG
    Roeleveld, K
    Stegeman, DF
    Falck, B
    Stalberg, EV
    ELECTROMYOGRAPHY AND MOTOR CONTROL-ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1997, 105 (03): : 181 - 188
  • [46] Sex differences in the detection of motor unit action potentials identified using high-density surface electromyography
    Taylor, Christopher A.
    Kopicko, Brian H.
    Negro, Francesco
    Thompson, Christopher K.
    JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2022, 65
  • [47] Motor Unit Identification in the M Waves Recorded by High-Density Electromyogram
    Kalc, Milos
    Skarabot, Jakob
    Divjak, Matjaz
    Urh, Filip
    Kramberger, Matej
    Vogrin, Matjaz
    Holobar, Ales
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2023, 70 (05) : 1662 - 1672
  • [48] Assessment of motor unit firing by high-density surface electromyography detects motor neuronal hyperexcitable state in amyotrophic lateral sclerosis
    Noto, Yu-ichi
    Kitaoji, Takamasa
    Watanabe, Kohei
    Mizuno, Toshiki
    MUSCLE & NERVE, 2023, 68 (02) : 149 - 156
  • [49] The reliability of surface EMG derived motor unit variables
    Hoshizaki, Thomas
    Clancy, Edward A.
    Gabriel, David A.
    Green, Lara A.
    JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2020, 52
  • [50] Motor unit number estimation using high-density surface electromyography (vol 119, pg 33, 2008)
    van Dijk, Johannes P.
    Blok, Joleen H.
    Lapatki, Bernd G.
    van Schaik, Ivo N.
    Zwarts, Machiel J.
    Stegeman, Dick F.
    CLINICAL NEUROPHYSIOLOGY, 2008, 119 (10) : 2416 - 2416