Proceedings of 41st Danubia-Adria Symposium Advances in Experimental Mechanics (pp. 47-48)
АУТОР(И) / AUTHOR(S): Kristóf Bányi 
, Zsófia Pálya , Mária Takács, Rita Kiss
DOI: 10.46793/41DAS2025.047B
УВОД / INTRODUCTION:
Gait stability is vital in musculoskeletal health, directly influencing quality of life. Nonlinear metrics such as entropy and fractal dimension enhance understanding of gait stability beyond traditional measures, thus improving diagnostic and physical therapy assessments. Entropy metrics measure the regularity of time-series data as a number between 0 and 2, with lower values signifying a more regular series. Fractal dimension quantifies the complexity and self-similarity of time-series data.
This study aimed to determine which input variable values influence approximate entropy (ApEn), sample entropy (SampEn), and Higuchi’s fractal dimension (HFD) parameters’ effectiveness for evaluating the stability of various individuals.
КЉУЧНЕ РЕЧИ / KEYWORDS:
ПРОЈЕКАТ / ACKNOWLEDGEMENT:
This research was supported by the Hungarian Scientific Research Fund of the National Research, Development, and Innovation Office (Grant No K146308). PZ is supported by the EKÖP-24-4-IBME- 252 Hungarian Excellence Scholarship Program of the Ministry for Innovation and Technology.
ЛИТЕРАТУРА / REFERENCES:
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- Martínez-Cagigal, V. Sample entropy. https://www.mathworks.com/matlabcentral/fileexchange/69381-sample-entropy. Accessed October 17,
2023. - Higuchi, T. Approach to an irregular time series on the basis of the fractal theory. Phys D: Nonlinear Phenom, 1988, 31(4), 277–283.
- Monge-Álvarez, J. Higuchi and Katz fractal dimension measures. https://www.mathworks.com/matlabcentral/fileexchange/50290-higuchi-and-katz-fractal-dimensionmeasures. Accessed October 2, 2024.