SPATIAL PARAMETERS OF STATOGRAMS IN DIAGNOSING PATHOLOGIES OF THE HUMAN LOCOMOTOR SYSTEM
The analysis of the spatial parameters of statograms in terms of the projection area of the common center of mass (CCM) in single and double support was performed, along with the magnitude of the total maximum area of the statogram and its relation to the area of the projection spot for each type of standing, and the area of the statogram according to the mathematical expectation. The high sensitivity of the spatial parameters of statograms is indicated by the values of the CCM spot plane in the case of single support, the ratio of the planes, and the angular asymmetry. The analysis of the parameters of statograms showed that for all types of standing volunteers of the control group, the area of the projection spot of the CCM was the smallest in both two-pronged standing, and in single support standing. In patients with osteochondrosis and with coxarthrosis (CA), the area of the spots was much larger, with a statistically significant difference observed in single support (p < 0.05). The ratio of the planes was statistically different between groups (р = 0.043): in the control group it was the maximum (0.38), which reflects the highest ability to maintain equilibrium, and the minimum (0.25) – in the group of patients with CA. An analysis of variance revealed a significant difference (p = 0.025) of asymmetry in body angle between the study groups. The angle of the body rotation in the case of single support is not statistically different in the study groups (p = 0.294), but this indicator can be considered as prognostic in terms of the diagnosis of pathology of the musculoskeletal system.
spatial parameters; statogram; the common center of mass; locomotor system
Bezsmertnyi Y. O., Sergii V. P., et al.: : Information model for forecasting of violation reparative osteogenesis of long bonds. Proc. SPIE 11176, 2019, 111762A [http://doi.org/10.1117/12.2536250].
Bezsmertnyi Y. O., Shevchuk V. I., et al.: Information model of individual rehabilitation program efficacy in disabled persons with cardiovascular diseases. Proc. SPIE 11176, 2019, 111762D [http://doi.org/10.1117/12.2536413].
Bottaro A., Yasutake Y., Nomura T., Casadio M., Morasso P.: Bounded stability of the quiet standing posture: an intermittent control model. Hum Mov Sci. 27(3), 2008, 473–95 [http://doi.org/10.1016/j.humov.2007.11.005].
Devetak G.F., Bohrer R.C.D., Rodacki A.L.F., Manffra E.F.: Center of mass in analysis of dynamic stability during gait following stroke: A systematic review. Gait Posture 72, 2019, 154–166 [http://doi.org/10.1016/j.gaitpost.2019.06.006].
Domergue H., Rodríguez-Mañas L., Laosa Zafra O., Hood K., Gasq D., Regueme S., Sinclair A.J., Bourdel-Marchasson I.: The Use of Posturography in Investigating the Risk of Falling in Frail or Prefrail Older People with Diabetes. J Frailty Aging. 9(1), 2020, 44–50 [http://doi.org/10.14283/jfa.2019.27].
Kizilova N., Karpinsky M., Griskevicius J. Daunoraviciene K.: Posturographic study of the human body vibrations for clinical diagnostics of the spine and joint pathology. Mechanika 80 (6), 2009, 37–41 [http://doi.org/10.5755/j01.mech.80.6.15500].
Martinerie J., Gagey P. M.: Chaotic analysis of the stabilometric signal. M. Woollacott & F. Horak (Eds.) Posture and gait: control mechanisms. University of Oregon Books (Portland), Tome I, 404–407.
Michalak K. P., Przekoracka-Krawczyk A., Naskręcki R.: Parameters of the crossing points between center of pressure and center of mass signals are potential markers of postural control efficiency. PLoS One 14(7), 2019, e0219460 [http://doi.org/10.1371/journal.pone.0219460].
Mochizuki L., Duarte M., Amadio A. C., Zatsiorsky V. M., Latash M. L.: Changes in postural sway and its fractions in conditions of postural instability different postural control mechanisms. J. Appl. Biomech. 22, 2006, 51–60.
Okamoto A.: Biomechanical analysis of the moment about the center of mass during the downswing phase in women’s driver shot. 37th International Society of Biomechanics in Sport Conference - Proceedings Archive 37, 2019, 356–359.
Rey-Martinez J., Pérez-Fernández N.: Open source posturography. Acta Otolaryngol. 136(12), 2016, 1225–1229 [http://doi.org/10.1080/00016489.2016.1204665].
Ruhe A., Fejer R., Walker B.: Center of pressure excursion as a measure of balance performance in patients with non-specific low back pain compared to healthy controls: a systematic review of the literature. European Spine Journal 20(3), 2011, 358–368 [http://doi.org/10.1007/s00586-010-1543-2].
Shams A., Vameghi R., Shamsipour Dehkordi P., Allafan N., Bayati M.: The development of postural control among children: Repeatability and normative data for computerized dynamic posturography system. Gait Posture 78, 2020, 40–47 [http://doi.org/10.1016/j.gaitpost.2020.03.002].
Sologubov E. G., Yavorskii A. B., Kobrin V. I., Nemkova S. A., Sinel'nikova A. N.: Use of Computer Stabilography and computer-assisted biomechanical examination of gait for diagnosis of posture and movement disorders in patients with various forms of infantile cerebral paralysis. Biomed. Eng. 34(3), 2000, 138–143.
Tyazhelov O. A., Karpinsky M. Yu., Karpinska O. D., Yaremyn S. Yu.: Features of dynamic characteristics of statograms at fixation of joints of the lower extremity. Trauma 15(2), 2014, 88–93 [http://doi.org/10.22141/1608-1706.2.15.2014.81375] [in Ukrainian].
Tyazhelov О.А., Fischenko V.O., Iaremin S.Yu., Karpinsky M.Yu., Karpinska O.D.: Modeling of processes of support of a vertical posture. Orthopedics, traumatology and prosthetics 598 (1), 2015, 42–49 [in Ukrainian].
Yamamoto T, Smith C. E., Suzuki Y., et al.: Universal and individual characteristics of postural sway during quiet standing in healthy young adults. Physiological reports 3(3), 2015, e12329 [http://doi.org/10.14814/phy2.12329].
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.