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Nonlinear measures in posturography compared to linear measures based on yoga poses performance

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Yoga is known as a type of exercise that combines physical, mental and spiritual aspects. There has not been much research on the postural control in various yoga poses. The aim of this study was to examine CoP regularity in both yoga instructors and novices during the performance of four yoga poses, and to verify the sensitivity of linear and nonlinear methods for assessing postural stability. Methods: The dynamic characteristics of CoP fluctuations were examined using linear and nonlinear methods on a group of 22 yoga instructors (Y) and 18 age-matched non-practitioners of yoga (NY). The study involved maintaining a balance for 20 seconds while performing four yoga poses. Results: Conventional analysis of CoP trajectories showed that NY and Y exhibited similar control of postural sway, as indicated by similar CoP path-length and area values observed in both groups. These results suggest that the special balance yoga training received by Y may not have an impact on less challenging balance conditions, such as the poses used in this experiment. Interestingly, nonlinear dynamical analysis of CoP showed that Y exhibited less CoP regularity and more complex signal than NY, as evidenced by higher values of sample entropy and fractal dimension. Conclusions: The results shed light on the surplus values of CoP trajectories in the nonlinear dynamical analysis to gain further insight into the mechanisms involved in posture control.
Rocznik
Strony
15--21
Opis fizyczny
Bibliogr. 25 poz., tab., rys.
Twórcy
  • Józef Piłsudski University of Physical Education, Warsaw, Poland
Bibliografia
  • [1] BARATTO L., MORASSO P.G., RE C., SPADA G., A new look at posturographic analysis in the clinical context: sway-density versus other parameterization techniques, Motor Control, 2002, 6 (3), 246–270.
  • [2] BORG F.G., LAXABACK G., Entropy of balance – some recent results, J. Neuroeng. Rehabil., 2010, 7, 38.
  • [3] CAVANAUGH J.T., MERCER V.S., STERGIOU N., Approximate entropy detects the effect of a secondary cognitive task on postural control in healthy young adults: a methodological report, J. Neuroeng. Rehabil., 2007, 4, 42.
  • [4] DONKER S.F., ROERDINK M., GREVEN A.J., BEEK P.J., Regularity of center-of-pressure trajectories depends on the amount of attention invested in postural control, Exp. Brain Res., 2007, 181 (1), 1–11.
  • [5] DOYLE T.L., DUGAN E.L., HUMPHRIES B., NEWTON R.U., Discriminating between elderly and young using a fractal dimension analysis of centre of pressure, Int. J. Med. Sci., 2004, 1 (1), 11–20.
  • [6] DOYLE T.L., NEWTON R.U., BURNETT A.F., Reliability of traditional and fractal dimension measures of quiet stance center of pressure in young, healthy people, Arch. Phys. Med. Rehabil., 2005, 86 (10), 2034–2040.
  • [7] GILFRICHE P., DESCHODT-ARSAC V., BLONS E., ARSAC L.M., Frequency-Specific Fractal Analysis of Postural Control Accounts for Control Strategies, Frontiers in Physiology, 2018, 9, 293.
  • [8] GOLDBERGER A.L., AMARAL L.A., GLASS L., HAUSDORFF J.M., IVANOV P.C., MARK R.G. et al., PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals, Circulation, 2000, 101 (23), E215-20.
  • [9] HIGUCHI T., Approach to an irregular time series on the basis of the fractal theory, Physica D: Nonlinear Phenomena, 1988, 31 (2), 277–283.
  • [10] HURST H.E., Long-term storage of reservoirs: an experimental study, Transactions of the American Society of Civil Engineers, 1951, 116, 770–799.
  • [11] JAVNBAKHT M., HEJAZI KENARI R., GHASEMI M., Effects of yoga on depression and anxiety of women, Complement Ther. Clin. Pract., 2009, 15 (2), 102–104.
  • [12] KHAYAT O., NOWSHIRAVAN-RAHATABAD F., Complex feature analysis of center of pressure signal for age-related subject classification, Ann. Mil. Health Sci. Res., 2014, 12 (1), 1–6.
  • [13] MAURER C., PETERKA R.J., A New Interpretation of Spontaneous Sway Measures Based on a Simple Model of Human Postural Control, Journal of Neurophysiology, 2005, 93 (1), 189–200.
  • [14] MIZUTA K., TOKITA T., ITO Y., AOKI M., KUZE B., Studies on the largest Lyapunov exponents of the standing posture in patients with unilateral vestibular dysfunction, Nihon Jibiinkoka Gakkai Kaiho, 2009, 112 (12), 791–800.
  • [15] PASCOLO P.B., MARINI A., CARNIEL R., BARAZZA F., Posture as a chaotic system and an application to the Parkinson’s disease, Chaos, Solitons and Fractals, 2005, 24 (5), 1343–1346.
  • [16] RAZJOUYAN J., GHARIBZADEH S., FALLAH A., KHAYAT O., GHERGHEREHCHI M., AFARIDEH H. et al., A neuro-fuzzy based model for accurate estimation of the lyapunov exponents of an unknown dynamical system, International Journal of Bifurcation and Chaos, 2012, 22 (03), 1250043.
  • [17] RICHMAN J.S., MOORMAN J.R., Physiological time-series analysis using approximate entropy and sample entropy, Am. J. Physiol. Heart Circ. Physiol., 2000, 278 (6), H2039-49.
  • [18] ROERDINK M., HLAVACKOVA P., VUILLERME N., Center-ofpressure regularity as a marker for attentional investment in postural control: a comparison between sitting and standing postures, Hum. Mov. Sci., 2011, 30 (2), 203–212.
  • [19] ROSENSTEIN M.T., COLLINS J.J., DE LUCA C.J., A practical method for calculating largest Lyapunov exponents from small data sets, Physica D: Nonlinear Phenomena, 1993, 65 (1–2), 117–134.
  • [20] SABATINI A.M., Analysis of postural sway using entropy measures of signal complexity, Medical and Biological Engineering and Computing, 2000, 38 (6), 617–624.
  • [21] SCHMIT J.M., REGIS D.I., RILEY M.A., Dynamic patterns of postural sway in ballet dancers and track athletes, Exp. Brain Res., 2005, 163 (3), 370–378.
  • [22] SCHNIEPP R., WUEHR M., PRADHAN C., NOVOZHILOV S., KRAFCZYK S., BRANDT T. et al., Nonlinear variability of body sway in patients with phobic postural vertigo, Front. Neurol., 2013, 4, 115.
  • [23] SHIRAISHI J.C., BEZERRA L.M.A., Effects of yoga practice on muscular endurance in young women, Complementary Therapies in Clinical Practice, 2016, 22, 69–73.
  • [24] TARNOPOLSKI M., On the relationship between the Hurst exponent, the ratio of the mean square successive difference to the variance, and the number of turning points, Physica A: Statistical Mechanics and its Applications, 2016, 461(C), 662–673.
  • [25] ULGER O., YAGLI N.V., Effects of yoga on balance and gait properties in women with musculoskeletal problems: a pilot study, Complement Ther. Clin. Pract., 2011, 17 (1), 13–15.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-371de05f-99db-422c-9120-7ec928298f83
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