Tracking motor units longitudinally across experimental sessions with high-density surface electromyography

被引:135
|
作者
Martinez-Valdes, E. [1 ]
Negro, F. [2 ,3 ]
Laine, C. M. [2 ]
Falla, D. [4 ]
Mayer, F. [1 ]
Farina, D. [2 ,5 ]
机构
[1] Univ Potsdam, Dept Sports Med & Sports Orthopaed, Potsdam, Germany
[2] Georg August Univ, Univ Med Ctr Gottingen, BCCN, Inst Neurorehabil Syst,Bernstein Focus Neurotechn, Gottingen, Germany
[3] Univ Brescia, Dept Clin & Expt Sci, Brescia, Italy
[4] Univ Birmingham, Sch Sport Exercise & Rehabil Sci, Coll Life & Environm Sci, Ctr Precis Rehabil Spinal Pain CPR Spine, Birmingham, W Midlands, England
[5] Imperial Coll London, Royal Sch Mines, Dept Bioengn, London SW7 2AZ, England
来源
JOURNAL OF PHYSIOLOGY-LONDON | 2017年 / 595卷 / 05期
基金
欧洲研究理事会; 欧盟地平线“2020”;
关键词
VASTUS LATERALIS MUSCLE; HUMAN SKELETAL-MUSCLE; CONDUCTION-VELOCITY; FIRING RATES; DISCHARGE RATE; STRENGTH; ADAPTATIONS; ENDURANCE; BEHAVIOR; CONTRACTIONS;
D O I
10.1113/JP273662
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
A new method is proposed for tracking individual motor units (MUs) across multiple experimental sessions on different days. The technique is based on a novel decomposition approach for high-density surface electromyography and was tested with two experimental studies for reliability and sensitivity. Experiment I (reliability): ten participants performed isometric knee extensions at 10, 30, 50 and 70% of their maximum voluntary contraction (MVC) force in three sessions, each separated by 1 week. Experiment II (sensitivity): seven participants performed 2 weeks of endurance training (cycling) and were tested pre-post intervention during isometric knee extensions at 10 and 30% MVC. The reliability (Experiment I) and sensitivity (Experiment II) of the measured MU properties were compared for the MUs tracked across sessions, with respect to all MUs identified in each session. In Experiment I, on average 38.3% and 40.1% of the identified MUs could be tracked across two sessions (1 and 2 weeks apart), for the vastus medialis and vastus lateralis, respectively. Moreover, the properties of the tracked MUs were more reliable across sessions than those of the full set of identified MUs (intra-class correlation coefficients ranged between 0.63-0.99 and 0.39-0.95, respectively). In Experiment II, similar to 40% of the MUs could be tracked before and after the training intervention and training-induced changes in MU conduction velocity had an effect size of 2.1 (tracked MUs) and 1.5 (group of all identified motor units). These results show the possibility of monitoring MU properties longitudinally to document the effect of interventions or the progression of neuromuscular disorders.
引用
收藏
页码:1479 / 1496
页数:18
相关论文
共 50 条
  • [1] 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
  • [2] Identifying Motor Units in Longitudinal Studies with High-Density Surface Electromyography
    Martinez-Valdes, Eduardo
    Negro, Francesco
    Laine, Christopher M.
    Falla, Deborah L.
    Mayer, Frank
    Farina, Dario
    CONVERGING CLINICAL AND ENGINEERING RESEARCH ON NEUROREHABILITATION II, VOLS 1 AND 2, 2017, 15 : 147 - 151
  • [3] A high-density multichannel surface electromyography system for the characterization of single motor units
    Blok, JH
    van Dijk, JP
    Drost, G
    Zwarts, MJ
    Stegeman, DF
    REVIEW OF SCIENTIFIC INSTRUMENTS, 2002, 73 (04): : 1887 - 1897
  • [4] Motor Units Discriminated From High-density, Surface Electromyography Require Careful Scrutiny.
    Davis, Leah A.
    Almuklass, Awad
    Hamilton, Landon
    Vieira, Taian
    Botter, Alberto
    Enoka, Roger M.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2017, 49 (05): : 776 - 776
  • [5] Semi-Automated Identification of Motor Units Concurrently Recorded in High-Density Surface and Intramuscular Electromyography
    Yeung, Dennis
    Negro, Francesco
    Vujaklija, Ivan
    2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC, 2023,
  • [6] High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study
    Klotz, Thomas
    Lehmann, Lena
    Negro, Francesco
    Roehrle, Oliver
    JOURNAL OF NEURAL ENGINEERING, 2023, 20 (04)
  • [7] Motor unit tracking with high-density surface EMG
    Maathuis, Ellen M.
    Drenthen, Judith
    van Dijk, Johannes P.
    Visser, Gerhard H.
    Blok, Joleen H.
    JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2008, 18 (06) : 920 - 930
  • [8] Motor unit number estimation using high-density surface electromyography
    van Dijk, Johannes P.
    Blok, Joleen H.
    Lapatki, Bernd G.
    van Schaik, Ivo N.
    Zwarts, Machiel J.
    Stegeman, Dick F.
    CLINICAL NEUROPHYSIOLOGY, 2008, 119 (01) : 33 - 42
  • [9] A convolutional neural network to identify motor units from high-density surface electromyography signals in real time
    Wen, Yue
    Avrillon, Simon
    Hernandez-Pavon, Julio C.
    Kim, Sangjoon J.
    Hug, Francois
    Pons, Jose L.
    JOURNAL OF NEURAL ENGINEERING, 2021, 18 (05)
  • [10] Consensus for experimental design in electromyography (CEDE) project: High-density surface electromyography matrix
    Gallina, Alessio
    Disselhorst-Klug, Catherine
    Farina, Dario
    Merletti, Roberto
    Besomi, Manuela
    Holobar, Ales
    Enoka, Roger M.
    Hug, Francois
    Falla, Deborah
    Sogaard, Karen
    McGill, Kevin
    Clancy, Edward A.
    Carson, Richard G.
    van Dieen, Jaap H.
    Gandevia, Simon
    Lowery, Madeleine
    Besier, Thor
    Kiernan, Matthew C.
    Rothwell, John C.
    Tucker, Kylie
    Hodges, Paul W.
    JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2022, 64