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DECODING THE CORRELATION AMONG LEG MUSCLE AND BRAIN ACTIVATIONS IN DIFFERENT BODY MOVEMENTS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14510%2F22%3A00126499" target="_blank" >RIV/00216224:14510/22:00126499 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.worldscientific.com/doi/10.1142/S0218348X22501201" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X22501201</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1142/S0218348X22501201" target="_blank" >10.1142/S0218348X22501201</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    DECODING THE CORRELATION AMONG LEG MUSCLE AND BRAIN ACTIVATIONS IN DIFFERENT BODY MOVEMENTS

  • Original language description

    We investigated the correlation among brain and leg muscle activations by analyzing Electroencephalogram (EEG) and Electromyogram (EMG) signals in different conditions. Twelve subjects performed four tasks, including (1) quarter turns, (2) U-turns, (3) bypass obstacles, and (4) repeating quarter turns and U-turns two times. Then, we quantified the alterations of the complexity of these signals by computing the fractal dimension and sample entropy. The results showed that EEG and EMG signals in the case of the first task are more complex than the second task, in which they are more complex than the third task. Furthermore, the brain and muscle signals show the least complexity in the case of the fourth task. Moreover, we found strong correlations in the variations of fractal dimension (r = 0.9835) and sample entropy (r = 0.9168) between EEG and EMG signals in various tasks. Therefore, brain and muscle activations are strongly correlated in different tasks. Similar analyses can be conducted in the case of other organs to decode their correlations.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30306 - Sport and fitness sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY

  • ISSN

    0218-348X

  • e-ISSN

  • Volume of the periodical

    30

  • Issue of the periodical within the volume

    04

  • Country of publishing house

    SG - SINGAPORE

  • Number of pages

    9

  • Pages from-to

  • UT code for WoS article

    000804026300022

  • EID of the result in the Scopus database

    2-s2.0-85131237219