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Original scientific paper
https://doi.org/10.20471/acc.2018.57.04.11

In Search for Real-Time Noninvasive Assessment of Muscle Fatigue During Exertion: Can Dispersion of High-Resolution Muscle Electric Activity Data Provide New Insights?

Kristijan Dinjar ; Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
Svjetlana Marić ; Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
Sven Kurbel ; Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia

Fulltext: english, pdf (1 MB) pages 681-692 downloads: 111* cite
APA 6th Edition
Dinjar, K., Marić, S. & Kurbel, S. (2018). In Search for Real-Time Noninvasive Assessment of Muscle Fatigue During Exertion: Can Dispersion of High-Resolution Muscle Electric Activity Data Provide New Insights?. Acta clinica Croatica, 57 (4.), 681-692. https://doi.org/10.20471/acc.2018.57.04.11
MLA 8th Edition
Dinjar, Kristijan, et al. "In Search for Real-Time Noninvasive Assessment of Muscle Fatigue During Exertion: Can Dispersion of High-Resolution Muscle Electric Activity Data Provide New Insights?." Acta clinica Croatica, vol. 57, no. 4., 2018, pp. 681-692. https://doi.org/10.20471/acc.2018.57.04.11. Accessed 23 Feb. 2020.
Chicago 17th Edition
Dinjar, Kristijan, Svjetlana Marić and Sven Kurbel. "In Search for Real-Time Noninvasive Assessment of Muscle Fatigue During Exertion: Can Dispersion of High-Resolution Muscle Electric Activity Data Provide New Insights?." Acta clinica Croatica 57, no. 4. (2018): 681-692. https://doi.org/10.20471/acc.2018.57.04.11
Harvard
Dinjar, K., Marić, S., and Kurbel, S. (2018). 'In Search for Real-Time Noninvasive Assessment of Muscle Fatigue During Exertion: Can Dispersion of High-Resolution Muscle Electric Activity Data Provide New Insights?', Acta clinica Croatica, 57(4.), pp. 681-692. https://doi.org/10.20471/acc.2018.57.04.11
Vancouver
Dinjar K, Marić S, Kurbel S. In Search for Real-Time Noninvasive Assessment of Muscle Fatigue During Exertion: Can Dispersion of High-Resolution Muscle Electric Activity Data Provide New Insights?. Acta clinica Croatica [Internet]. 2018 [cited 2020 February 23];57(4.):681-692. https://doi.org/10.20471/acc.2018.57.04.11
IEEE
K. Dinjar, S. Marić and S. Kurbel, "In Search for Real-Time Noninvasive Assessment of Muscle Fatigue During Exertion: Can Dispersion of High-Resolution Muscle Electric Activity Data Provide New Insights?", Acta clinica Croatica, vol.57, no. 4., pp. 681-692, 2018. [Online]. https://doi.org/10.20471/acc.2018.57.04.11

Abstracts
Paralumbar muscle performance and fatigue were evaluated by measuring electromagnetic activity during entire body vibration (EBV) in 44 healthy subjects. Physical fitness of subjects was estimated on a 5-degree scale. Electric activity was recorded in 200 seconds with 1 kHz sampling on the Biopac Student Lab during EBV. Data were used to produce time series for two vectors of the phase space and spatial axis: X (left-right), Y (up-down) and Z (ventral-dorsal). Time series were evaluated by calculating fractal dimension by the R/S algorithm. Movement of the electric field along the Y-axis showed changes (up-down) extracted in the first and second quarter of the measurement (p=0.02 and p=0.03, respectively). These changes were not specific for gender but showed dependence on subject age and fitness. The fractal dimension values by the R/S algorithm were larger in female subjects. Results suggested the electric field changes during EBV in the up-down direction to contain information on muscular performance and fatigue, not dependent on gender, but on the age and degree of overall physical fitness.

Keywords
Back muscles; Muscle fatigue; Vibration; Electromagnetic fields

Hrčak ID: 217826

URI
https://hrcak.srce.hr/217826

[croatian]

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