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    Analysis of sustained maximal grip contractions using Empirical Mode Decomposition

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    Authors
    Li, Ke
    Hogrel, Jean-Yves
    Duchêne, Jacques
    Hewson, David
    Issue Date
    2010-12-31
    Subjects
    hand grip
    fatigue
    physiological tremor
    empirical mode decomposition
    
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    Abstract
    Muscle fatigue and physiological tremor during a Sustained Maximal Grip Contraction (SMGC) were analyzed using Empirical Mode Decomposition (EMD) in this study. Thirty-nine healthy subjects volunteered for the experiment and performed a 25-s SMGC. Fatigue parameters such as the relative power output (RPO) were calculated from the residual of SMGC after applying EMD. Using the energy spectrum of the intrinsic mode functions (IMF) obtained using Hilbert-Huang Transform (HHT), physiological tremor was identified from the 4-12 Hz region in IMF3 and IMF4. Data were analyzed for five consecutive 5-s epochs to identify changes in fatigue and tremor over time. The EMD method was able to identify a greater resistance to fatigue in women compared to men (p<;;0.05) and in non-dominant hands compared to dominant hands (p<;;0.05). Consistent with the results for fatigue, women had less tremor than men (p<;;0.05), while non-dominant hands trembled less than did dominant hands (p<;;0.05). Higher levels of tremor were observed for non-fatigue-resistant subjects for both 10-15 s and 15-20 s epochs (p<;;0.05). The EMD is an appropriate method to indentify both fatigue and tremor during SMGC.
    Citation
    Li K, Hogrel JY, Duchene J, Hewson D (2010) 'Analysis of sustained maximal grip contractions using Empirical Mode Decomposition', 3rd International Conference on Biomedical Engineering and Informatics - Yantai, IEEE.
    Publisher
    IEEE
    URI
    http://hdl.handle.net/10547/623486
    DOI
    10.1109/BMEI.2010.5640090
    Additional Links
    https://ieeexplore.ieee.org/document/5640090
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISSN
    1948-2914
    ae974a485f413a2113503eed53cd6c53
    10.1109/BMEI.2010.5640090
    Scopus Count
    Collections
    Health

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