Skip to main content

Effects of Age and Illness to the Complexity of Human Stabilogram

  • Conference paper
  • First Online:
Chaos and Complex Systems

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

  • 397 Accesses

Abstract

The main aim of this paper is to analyse the effects of health and age to human stability. For this purpose, the dataset with a recording of force platforms from subjects undergoing stabilography tests is utilized. These tests are consist of steady standing for 60 s. These tests were done upon several conditions and each test was repeated several times. From these recording, the approximate entropy was computed and the results were analysed using tools of mathematical statistics.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. A.L. Goldberger, L.A.N. Amaral, L. Glass, J.M. Hausdorff, P.C. Ivanov, R.G. Mark, J.E. Mietus, G.B. Moody, C.K. Peng, H.E. Stanley, PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation 101(23), e215–e220 (13 June 2000). Circulation Electronic Pages: http://circ.ahajournals.org/content/101/23/e215.fullPMID:1085218; https://doi.org/10.1161/01.CIR.101.23.e215

  2. B. Gow, C.K. Peng, P.M. Wayne, A. Ahn, Multiscale entropy analysis of center-of-pressure dynamics in human postural control: methodological considerations. Entropy 17, 7926–7947 (2015). https://doi.org/10.3390/e17127849

    Article  ADS  Google Scholar 

  3. C.W. Huang, P.D. Sue, M. Abbod, B. Jiang, J.S. Shieh, Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform. Sensors (Basel, Switzerland) 13, 10151–10166 (2013). https://doi.org/10.3390/s130810151

    Article  Google Scholar 

  4. K.K.L. Ho, G.B. Moody, C.K. Peng, J.E. Mietus, M.G. Larson, D. Levy, A. Goldberger, Predicting survival in heart failure case and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics. Circulation 96, 842–848 (1997). https://doi.org/10.1161/01.CIR.96.3.842

    Article  Google Scholar 

  5. A. Kassambara, ggpubr: ‘ggplot2’ Based Publication Ready Plots (2018). https://CRAN.R-project.org/package=ggpubr. R package version 0.2

  6. L. Komsta, F. Novomestky, Moments: moments, cumulants, skewness, kurtosis and related tests (2015). https://CRAN.R-project.org/package=moments. R package version 0.14

  7. M. Lampart, T. Martinovič, Chaotic behavior of the CML model with respect to the state and coupling parameters. J. Math. Chem. (2019). https://doi.org/10.1007/s10910-019-01023-2

    Article  MathSciNet  MATH  Google Scholar 

  8. L. Montesinos, R. Castaldo, L. Pecchia, Selection of entropy-measure parameters for force plate-based human balance evaluation, in World Congress on Medical Physics and Biomedical Engineering 2018, ed. by L. Lhotska, L. Sukupova, I. Lacković, G.S. Ibbott (Springer Singapore, Singapore, 2019), pp. 315–319

    Chapter  Google Scholar 

  9. R Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2018). https://www.R-project.org/

  10. M. Roerdink, P. Hlavackova, N. Vuillerme, Center-of-pressure regularity as a marker for attentional investment in postural control: a comparison between sitting and standing postures. Hum. Mov. Sci. 30(2), 203 – 212 (2011). https://doi.org/10.1016/j.humov.2010.04.005, http://www.sciencedirect.com/science/article/pii/S0167945710000588. Basic Mechanisms underlying Balance Control under Static and Dynamic Conditions

    Article  Google Scholar 

  11. D.A. Santos, M. Duarte, A public data set of human balance evaluations. PeerJ 4, e2648 (2016). https://doi.org/10.7717/peerj.2648

    Article  Google Scholar 

  12. J. Tomcala, TSEntropies: Time Series Entropies (2018). https://CRAN.R-project.org/package=TSEntropies. R package version 0.9

  13. H. Wickham, ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York (2016). http://ggplot2.org

  14. H. Wickham, R. François, L. Henry, K. Müller, dplyr: A Grammar of Data Manipulation (2018). https://CRAN.R-project.org/package=dplyr. R package version 0.7.7

  15. H. Wickham, L. Henry, tidyr: Easily Tidy Data with ‘spread()’ and ‘gather()’ Functions (2018). https://CRAN.R-project.org/package=tidyr. R package version 0.8.2

Download references

Acknowledgements

This work was supported by The Ministry of Education, Youth and Sports from the National Programme of Sustainability (NPU II) project “IT4Innovations excellence in science – LQ1602”; by The Ministry of Education, Youth and Sports from the Large Infrastructures for Research, Experimental Development and Innovations project “IT4Innovations National Supercomputing Center – LM2015070”; by SGC grant No. SP2019/125 “Qualification and quantification tools application to dynamical systems”, VŠB - Technical University of Ostrava, Czech Republic.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Radek Halfar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Halfar, R. (2020). Effects of Age and Illness to the Complexity of Human Stabilogram. In: Stavrinides, S., Ozer, M. (eds) Chaos and Complex Systems. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-35441-1_9

Download citation

Publish with us

Policies and ethics