All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Complexity-based analysis of muscle activation during walking at different speeds

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020399" target="_blank" >RIV/62690094:18450/23:50020399 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.worldscientific.com/doi/10.1142/S0218348X23500329" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X23500329</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1142/S0218348X23500329" target="_blank" >10.1142/S0218348X23500329</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Complexity-based analysis of muscle activation during walking at different speeds

  • Original language description

    In this research, we investigated the effect of changes in walking speed on variations of the complexity of electromyogram (EMG) signals recorded from the right and left legs of subjects. We specifically employed fractal theory and approximate entropy to analyze the changes in the complexity of EMG signals recorded from 13 subjects walked at 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0&lt;FOR VERIFICATION&gt;km/h on a flat surface. The results showed that by increasing of walking speed, the complexity of EMG signals decreases. The statistical analysis also indicated the significant effect of variations in walking speed on the variations of the complexity of EMG signals. This method analysis can be applied to other physiological signals of humans (e.g. electroencephalogram (EEG) signals) to investigate the effect of walking speed on other organs&apos; activations (e.g. brain). © 2023 World Scientific Publishing Company.

  • 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

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Fractals

  • ISSN

    0218-348X

  • e-ISSN

    1793-6543

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    SG - SINGAPORE

  • Number of pages

    9

  • Pages from-to

    "Article number: 2350032"

  • UT code for WoS article

    000973653500001

  • EID of the result in the Scopus database

    2-s2.0-85153964647