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The stock market indexes in research on human balance

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of the study was to demonstrate the possibility of using stock exchange indices to assess the ability to maintain balance as a supplement to analyzes using values determined in the time and frequency domains. Methods: 83 healthy people (56 females, 27 males, age years 21 SD = 1.3 years) participated in the research. Measurements were performed with open and closed eyes and in the virtual environment with two sceneries oscillating at four frequencies. The results determined in the time and frequency domains were analyzed in relation to the results calculated with the use of stock exchange indicators for which the Trend Change Index was formulated. Performed measurements made it possible to determine the average COP speed, the average COP speed and range of movement towards AP, power spectral density PSD and stock exchange indices. Results: In the case of PSD values for the ranges above and below 0.5 Hz, statistically significant differences occurred for most measurements. Obtained values of TCI coefficient were similar and no statistically significant differences were observed. The maximum values of the PSD medians were obtained in trials with the oscillating scenery. Conclusions: Conducted analyzes showed that use of stock exchange indicators broadens the interpretative possibilities of COP measurements by determining the number of consecutive skips (changes in the direction) of the COP and prioritizing according to the times between them. The applied stock market analysis methods also filtered out changes in the position resulting from noises that could not be removed with the use of standard low-pass filters.
Rocznik
Strony
163--176
Opis fizyczny
Bibliogr. 25 poz., rys., tab., wykr.
Twórcy
  • Department of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland.
autor
  • Department of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland.
  • Department of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland.
  • Department of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland.
  • Department of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland.
Bibliografia
  • [1] BIBROWICZ K., SZURMIK T., MICHNIK R., WODARSKI P., MYŚLIWIEC A., MITAS A., Application of Zebris dynamometric platform and arch index in assessment of the longitudinal arch of the foot, Technology and Health Care, 2018, 26, 543–551.
  • [2] BIZID R., JULLY J.L., GONZALEZ G., FRANCOIS Y., DUPUI P., PAILLARD T., Effects of fatigue induced by neuromuscular electrical stimulation on postural control, Journal of Science and Medicine in Sport, 2009, 12, 60–66.
  • [3] BŁASZCZYK J.W., The use of force-plate posturography in the assessment of postural instability, Gait and Posture, 2007, 44, 1–6.
  • [4] BŁASZCZYK J.W., CZERWOSZ L., Postural stability in the aging process (Stabilność posturalna w procesie starzenia), Gerontologia Polska, 2005, 13 (1), 25–36.
  • [5] BŁAŻKIEWICZ M., KEDZIOREK J., HADAMUS A., The Impact of Visual Input and Support Area Manipulation on Postural Control in Subjects after Osteoporotic Vertebral Fracture, Entropy, 2021, 23 (3), 375.
  • [6] BUGNARIU N., FUNG J., Aging and selective sensorimotor strategies in the regulation of upright balance, J. Neuroengineering Rehabil., 2007, 4, 19.
  • [7] CUNNINGHAM D.W., NUSSECK H.G., TEUFEL H., WALLRAVEN C., BÜLTHOFF H.H., A psychophysical examination of swinging rooms, cylindrical virtual reality setups, and characteristic trajectories, Virtual Reality Conference, IEEE Xplore, 2006.
  • [8] CZAPLICKI A., KUNISZYK-JÓŹKOWIAK W., JASZCZUK J., JAROCKA M., WALAWSKI J., Using the discrete wavelet transform in assessing the effectiveness of rehabilitation in patients after ACL reconstruction, Acta Bioeng. Biomech., 2017, 19 (3), 139–146.
  • [9] GORWA J., MICHNIK R., NOWAKOWSKA-LIPIEC K., In Pursuit of the Perfect Dancer’s Ballet Foot. The Footprint, Stabilometric, Pedobarographic Parameters of Professional Ballet Dancers, Biology – Basel, 2021, 10 (5), 435.
  • [10] HOF A.L, GEZENDAM M.G.J, SINKE W.E., The condition for dynamic stability, Journal of Biomechanics, 2005, 38, 1–8.
  • [11] JURKOJĆ J., Balance disturbances coefficient as a new value to assess ability to maintain balance on the basis of FFT curves, Acta Bioeng. Biomech., 2018, 20 (1), 143–151
  • [12] KESHNER E.A., KENYON R.V., DHAHER Y., Postural Research and Rehabilitation in an Immersive Virtual Environment, Proceedings of the 26th Annual International Conference of the IEEE EMBS, 2004, 4862–4865.
  • [13] KESHNER E.A., KENYON R.V., The influence of an immersive virtual environment on the segmental organization of postural stabilizing responses, Journal of Vestibular Research, 2000, 10, 207–219.
  • [14] 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, 189–200.
  • [15] MICARELLI A., VIZIANO A., MICARELLI B., AUGIMERI I., ALESSANDRINI M., Vestibular rehabilitation in older adults with and without mild cognitive impairment: Effects of virtual reality using a head-mounted display, Archives of Gerontology and Geriatrics, 2019, 83, 246–256.
  • [16] MICHALSKA J., KAMIENIAR A., FREDYK A., BACIK B., JURAS G., SLOMKA K.J., Effect of expertise in ballet dance on static and functional balance, Gait and Posture, 2018, 64, 68–74.
  • [17] NEMA S., KOWALCZYK P., LORAM I., Wavelet-frequency analysis for the detection of discontinuities in switched system models of human balance, Human Movement Science, 2017, 51, 27–40.
  • [18] REA L.M., PARKER R.A., Designing and conducting survey research: a comprehensive guide, Jossey-Bass Publishers, San Francisco 1992.
  • [19] SCOPPA F., CAPRA R., GALLAMINI M., SHIFFER R., Clinical stabilometry standardization Basic definitions – Acquisition interval – Sampling frequency, Gait Posture, 2013, 37, 290–292.
  • [20] WINTER D.A., Human balance and posture control during standing and walking, Gait and Posture, 1995, 3 (4), 193–214.
  • [21] WODARSKI P., JURKOJC J., CHMURA M., BIENIEK A., GUZIK-KOPYTO A., MICHNIK R., Analysis of the Ability to Maintain the Balance of Veterans of Stabilization Missions, Innovations in Biomedical Engineering, 2021, 1223, 197–207.
  • [22] WODARSKI P., JURKOJĆ J., GZIK M., Wavelet Decomposition in Analysis of Impact of Virtual Reality Head Mounted Display Systems on Postural Stability, Sensors (Basel), 2020, 20 (24), 7138.
  • [23] WODARSKI P., JURKOJĆ J., POLECHOŃSKI J., BIENIEK A., CHRZAN M., MICHNIK R., GZIK M., Assessment of gait stability and preferred walking speed in virtual reality, Acta Bioeng. Biomech., 2020, 22 (1), 127–134.
  • [24] WODARSKI P., JURKOJĆ J., CHMURA M., GRUSZKA G., GZIK M., Analysis of center of pressure displacements and head movements triggered by a visual stimulus created using the virtual reality technology, Acta Bioeng. Biomech., 2022, 24 (1), 1–20.
  • [25] ZATSIORSKY V.M., DUARTE M., Instant Equilibriom Point and its migration in standing tasks: rambling and trembling components of the stabilogram, Moter Control, 1999, 3 (1), 28–38.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c6859498-dd89-48e9-b8cb-91e51cbb04cd
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