Intermuscular coupling characteristics based on variational mode decomposition-coherence

被引:3
作者
Du Yi-Hao [1 ]
Qi Wen-Jing [1 ]
Zou Ce [1 ]
Zhang Jin-Ming [1 ]
Xie Bo-Duo [2 ]
Xie Ping [1 ]
机构
[1] Yanshan Univ, Inst Elect Engn, Key Lab Measurement Technol & Instrumentat Hebei, Qinhuangdao 066004, Peoples R China
[2] Chinese Peoples Liberat Army, Hosp 281, Dept Rehabil Med, Qinhuangdao 066100, Peoples R China
基金
中国国家自然科学基金;
关键词
electromyogram; variational mode decomposition; coherence; intermuscular coupling; RANGE CORTICOMUSCULAR COHERENCE; DYNAMIC FORCE; EMG; FATIGUE; CORTEX;
D O I
10.7498/aps.66.068701
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Intermuscular coupling is defined as the interaction, correlation and coordination between different muscles during the body movement, which could be revealed by the synchronization analysis of surface electromyogram (sEMG). The multiscaled coherence analysis of sEMG signals could describe the multiple spatial and temporal functional connection characteristics of intermuscular coupling, which could be helpful for understanding the multiple spatial and temporal coupling mechanism of neuromuscular system. Furthermore, the coupling characteristics in frequency band of sEMG generally reflect the functional connection between muscles which relate to motion control and coordinative mechanism of the central nervous system (CNS). In this paper, we combine variational mode decomposition (VMD) and intermuscular coherence (IMC) analysis to propose a new method named VMD-IMC to quantitatively describe the muscular coupling characteristics in the corresponding frequency bands. First, sEMG data of flexor digitorum superficialis (FDS), flexor carpi ulnaris (FCU) and extensor digitorum (ED) are recorded simultaneously from twenty healthy subjects (2 5 +/- 3 years) who perform the designed grip task at sustained 20% maximum voluntary contraction under the static load. Then, the VMD approach is employed to adaptively decompose sEMG into several intrinsic mode functions to describe the information about different time-frequency scales. Furthermore, the coherence on different time-frequency scales between different sEMG signals is analyzed, and the significant coherent area index is calculated to quantitatively describe the functional coupling characteristics of the feature bands. And combining VMD with Hilbert transform, we calculate root mean square and mean instantaneous frequency (MIF) to describe the variations of energy and frequency of each muscle. The results show that coupling strengths increase with time, respectively, in beta (15-30 Hz) and gamma (30-45 Hz) band between two muscles (FDS vs FCU, FDS vs ED) during the sustained static force with low load. In addition, compared with the coupling between FDS and ED, the couplings between FDS and FCU in beta and gamma band under the condition of fatigue present more significant changes and similar trend in MIF variation with time. The obtained results reveal that the congenerous muscle is coordinated by CNS in a more synchronous way during the sustained isometric fatiguing contraction.
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页数:10
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共 22 条
  • [1] Coherent oscillations in monkey motor cortex and hand muscle EMG show task-dependent modulation
    Baker, SN
    Olivier, E
    Lemon, RN
    [J]. JOURNAL OF PHYSIOLOGY-LONDON, 1997, 501 (01): : 225 - 241
  • [2] Oscillatory interactions between sensorimotor cortex and the periphery
    Baker, Stuart N.
    [J]. CURRENT OPINION IN NEUROBIOLOGY, 2007, 17 (06) : 649 - 655
  • [3] Fatigue- and training-related changes in 'beta' intermuscular interactions between agonist muscles
    Charissou, Camille
    Vigouroux, Laurent
    Berton, Eric
    Amarantini, David
    [J]. JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2016, 27 : 52 - 59
  • [4] Influence of Fatigue on Hand Muscle Coordination and EMG-EMG Coherence During Three-Digit Grasping
    Danna-Dos Santos, Alessander
    Poston, Brach
    Jesunathadas, Mark
    Bobich, Lisa R.
    Hamm, Thomas M.
    Santello, Marco
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 2010, 104 (06) : 3576 - 3587
  • [5] The use of surface electromyography in biomechanics
    De Luca, CJ
    [J]. JOURNAL OF APPLIED BIOMECHANICS, 1997, 13 (02) : 135 - 163
  • [6] Variational Mode Decomposition
    Dragomiretskiy, Konstantin
    Zosso, Dominique
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2014, 62 (03) : 531 - 544
  • [7] Unraveling the neurophysiology of muscle fatigue
    Enoka, Roger M.
    Baudry, Stephane
    Rudroff, Thorsten
    Farina, Dario
    Klass, Malgorzata
    Duchateau, Jacques
    [J]. JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2011, 21 (02) : 208 - 219
  • [8] Spinal and supraspinal factors in human muscle fatigue
    Gandevia, SC
    [J]. PHYSIOLOGICAL REVIEWS, 2001, 81 (04) : 1725 - 1789
  • [9] EEG-EMG, MEG-EMG and EMG-EMG frequency analysis: physiological principles and clinical applications
    Grosse, P
    Cassidy, MJ
    Brown, P
    [J]. CLINICAL NEUROPHYSIOLOGY, 2002, 113 (10) : 1523 - 1531
  • [10] Fatigue related changes in electromyographic coherence between synergistic hand muscles
    Kattla, Shashikala
    Lowery, Madeleine M.
    [J]. EXPERIMENTAL BRAIN RESEARCH, 2010, 202 (01) : 89 - 99