Global Innervation Zone Identification With High-Density Surface Electromyography

被引:11
|
作者
Zhang, Chuan [1 ]
Dias, Nicholas [1 ]
He, Jinbao [2 ]
Zhou, Ping [3 ]
Li, Sheng [3 ]
Zhang, Yingchun [1 ]
机构
[1] Univ Houston, Dept Biomed Engn, Houston, TX 77204 USA
[2] Ningbo Univ Technol, Sch Elect & Informat Engn, Ningbo, Peoples R China
[3] Univ Texas Hlth Sci Ctr Houston, Dept Phys Med & Rehabil, Houston, TX 77030 USA
基金
美国国家卫生研究院;
关键词
Imaging; Electromyography; Sensors; Band-pass filters; Neuromuscular; Three-dimensional displays; Functional imaging; muscle; inverse methods; innervation zone; surface electromyography; EXTERNAL ANAL-SPHINCTER; LOCATION; REPEATABILITY; CONTRACTION; RECORDINGS; VELOCITY; POSITION;
D O I
10.1109/TBME.2019.2919906
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Objective: The aim of this study is to compare the performance of three strategies in determining the global innervation zone (IZ) distribution. Methods: High-density surface electromyography was recorded from the biceps brachii muscle of seven healthy subjects under isometric voluntary contractions at 20%, 50%, and 100% of the maximal voluntary contraction and supramaximal musculocutaneous nerve stimulations. IZs were detected: first, by visual identification in a column-specific manner (IZ-1D); second, based on decomposed bipolar mapping of motor unit action potentials (IZ-2D); and third, by source imaging in the three-dimensional muscle space (IZ-3D). Results: All three IZ detection approaches have exhibited excellent trial-to-trial repeatability. Consistent IZ results were found in the axial direction of the arm across all three approaches, yet a difference was observed in the mediolateral direction. Conclusions: Among all three approaches, IZ-3D is capable of providing the most comprehensive information regarding the global IZ distribution, while maintaining high consistency with IZ-1D and IZ-2D results. Significance: IZ-3D approach can be a potential tool for global IZ imaging, which is critical to the clinical diagnosis and treatment of neuromuscular disorders.
引用
收藏
页码:718 / 725
页数:8
相关论文
共 50 条
  • [41] Automatic Speech Recognition in Different Languages Using High-Density Surface Electromyography Sensors
    Zhu, Mingxing
    Huang, Zhen
    Wang, Xiaochen
    Wang, Xin
    Wang, Cheng
    Zhang, Haoshi
    Zhao, Guoru
    Chen, Shixiong
    Li, Guanglin
    IEEE SENSORS JOURNAL, 2021, 21 (13) : 14155 - 14167
  • [42] Investigation of The Neural Drive During Vibration Exercise by High-density Surface-electromyography
    Xu, L.
    Negro, F.
    Rabotti, C.
    Farina, D.
    Mischi, M.
    2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 1944 - 1947
  • [43] Evaluation of normal swallowing functions by using dynamic high-density surface electromyography maps
    Mingxing Zhu
    Bin Yu
    Wanzhang Yang
    Yanbing Jiang
    Lin Lu
    Zhen Huang
    Shixiong Chen
    Guanglin Li
    BioMedical Engineering OnLine, 16
  • [44] High-density electromyography activity in various hamstring exercises
    Hegyi, Andras
    Csala, Daniel
    Peter, Annamaria
    Finni, Taija
    Cronin, Neil J.
    SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS, 2019, 29 (01) : 34 - 43
  • [45] High-frequency oscillations in the high-density scalp eeg: identification of the epileptogenic zone
    Ren, G.
    Yan, J.
    Sun, Y.
    Ren, J.
    Yang, C.
    Lv, R.
    Chen, C.
    Shi, W.
    Wang, S.
    Li, Z.
    Liu, M.
    Shao, X.
    Wang, Q.
    EPILEPSIA, 2023, 64 : 249 - 250
  • [46] Assessment of Lumbar Muscles Coordinated Activity Based on High-Density Surface Electromyography: A Pilot Study
    Jiang, Naifu
    Xue, Jinwei
    Li, Guanglin
    2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 2238 - 2241
  • [47] Towards optimizing electrode configurations for silent speech recognition based on high-density surface electromyography
    Zhu, Mingxing
    Zhang, Haoshi
    Wang, Xiaochen
    Wang, Xin
    Yang, Zijian
    Wang, Cheng
    Samuel, Oluwarotimi Williams
    Chen, Shixiong
    Li, Guanglin
    JOURNAL OF NEURAL ENGINEERING, 2021, 18 (01)
  • [48] High-density surface electromyography signals during isometric contractions of elbow muscles of healthy humans
    Rojas-Martinez, Monica
    Yanet Serna, Leidy
    Jordanic, Mislav
    Marateb, Hamid Reza
    Merletti, Roberto
    Angel Mananas, Miguel
    SCIENTIFIC DATA, 2020, 7 (01)
  • [49] 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
  • [50] Fuzzy Based Analysis Method of High-Density Surface Electromyography Maps for Physical Training Assessment
    Deak, Gratiela-Flavia
    Miron, Radu
    Avram, Camelia Claudia
    Astilean, Adina
    PROCEEDING OF 2016 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS (AQTR), 2016, : 335 - 340