EFFECT OF BIOLOGICAL FEEDBACK DEPTH ON THE PERFORMANCE OF INSTRUCTION BY HEALTHY VOLUNTEERS
Keywords:
Biological feedback, control parameters, visual control, motor control, vertical position, body balance, position regulation, effects forecasting, posturography, stabilometry
Abstract
Aim. The study deals with the assessment of the effect of biological feedback with various parameters on controlling vertical position in human. This is necessary to justify physiologically the choice of an adequate control regime. Materials and methods. 25 apparently healthy volunteers aged 18–35 participated in the study. These volunteers are not professional athletes. The main method is the assessment of biocontrol parameters using the ground reaction data obtained with a force plate. Results. We revealed that an increase in feedback depth during the biocontrol assessed using the ground reaction data obtained with the force plate with a visual channel decreases the efficiency of vertical position targeted control. Moreover, we defined the extreme range of an increase in the coefficient of transformation of the physiological signal (sensitivity). This was done to obtain the coordinates of the common center of pressure on the ground, which preserves the ability of targeted control in untrained volunteers and equals approximately 50–70 % of standard values. Conclusion. Changes in the depth of biological feedback is a key factor, which influences the efficiency of procedures with biological feedback.References
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2. Grokhovskiy S.S., Kubryak O.V. [On the Question of the Dose of Motor Rehabilitation after a Stroke]. Fizioterapiya, bal’neologiya i reabilitatsiya [Physiotherapy, Balneology and Rehabilitation], 2018, vol. 17, no. 2, pp. 66–71. (in Russ.) DOI: 10.18821/1681-3456-2018-17-2-66-71
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2. Grokhovskiy S.S., Kubryak O.V. [On the Question of the Dose of Motor Rehabilitation after a Stroke]. Fizioterapiya, bal’neologiya i reabilitatsiya [Physiotherapy, Balneology and Rehabilitation], 2018, vol. 17, no. 2, pp. 66–71. (in Russ.) DOI: 10.18821/1681-3456-2018-17-2-66-71
3. Taylor J.B., Nguyen A.D., Paterno M.V., Huang B., Ford K.R. Real-Time Optimized Biofeedback Utilizing Sport Techniques (ROBUST): a Study Protocol for a Randomized Controlled Trial. BMC Musculoskelet Disord, 2017, vol. 8 (1), p. 71. (in Russ.) DOI: 10.1186/s12891-017-1436-1
4. van Gelder L.M.A., Barnes A., Wheat J.S., Heller B.W. The Use of Biofeedback for Gait Retraining: A Mapping Review. Clin Biomech (Bristol, Avon), 2018, vol. 20 (59), pp. 159–166. DOI: 10.1016/j.clinbiomech.2018.09.020
5. Yurevich E.I. Teoriya avtomaticheskogo upravleniya [The Theory of Automatic Control]. Leningad, Energy Publ., 1975. 412 p.
6. Eremin E.L., Shelenok E.A. [Combined Adaptive Control System of a Structurally and Parametrically Undefined Nonlinear Object]. Problemy upravleniya [Management Problems], 2016, no. 3, pp. 23–31. (in Russ.)
7. Novikov D.A. [Cybernetics 2.0]. Problemy upravleniya [Management Problems], 2016, no. 1, pp. 73–81. (in Russ.)
8. Leont’yev D.A. [Self-Organization of Living Systems and Physiology of Behavior]. Mir psikhologii [World of Psychology], 2011, no. 2 (66), pp. 16–27. (in Russ.)
9. Alharbi A.A., Johnson E.G., Albalwi A.A., Daher N.S., Cordett T.K., Ambode O.I., Alshehri F.H. Effect of Visual Input on Postural Stability in Young Adults with Chronic Motion Sensitivity: A Controlled Cross-Sectional Study. J Vestib Res, 2017, vol. 27 (4), pp. 225–231. DOI: 10.3233/VES-170534
10. Grokhovskii S.S., Kubryak O.V. A Method for Integral Assessment of the Effectiveness of Posture Regulation in Humans. Biomedical Engineering, 2018, vol. 52, no. 2, pp. 138–141. DOI: 10.1007/s10527-018-9799-7
References on translit
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3. Taylor J.B., Nguyen A.D., Paterno M.V., Huang B., Ford K.R. Real-Time Optimized Biofeedback Utilizing Sport Techniques (ROBUST): a Study Protocol for a Randomized Controlled Trial. BMC Musculoskelet Disord, 2017, vol. 8 (1), p. 71. (in Russ.) DOI: 10.1186/s12891-017-1436-1
4. van Gelder L.M.A., Barnes A., Wheat J.S., Heller B.W. The Use of Biofeedback for Gait Retraining: A Mapping Review. Clin Biomech (Bristol, Avon), 2018, vol. 20 (59), pp. 159–166. DOI: 10.1016/j.clinbiomech.2018.09.020
5. Yurevich E.I. Teoriya avtomaticheskogo upravleniya [The Theory of Automatic Control]. Leningad, Energy Publ., 1975. 412 p.
6. Eremin E.L., Shelenok E.A. [Combined Adaptive Control System of a Structurally and Parametrically Undefined Nonlinear Object]. Problemy upravleniya [Management Problems], 2016, no. 3, pp. 23–31. (in Russ.)
7. Novikov D.A. [Cybernetics 2.0]. Problemy upravleniya [Management Problems], 2016, no. 1, pp. 73–81. (in Russ.)
8. Leont’yev D.A. [Self-Organization of Living Systems and Physiology of Behavior]. Mir psikhologii [World of Psychology], 2011, no. 2 (66), pp. 16–27. (in Russ.)
9. Alharbi A.A., Johnson E.G., Albalwi A.A., Daher N.S., Cordett T.K., Ambode O.I., Alshehri F.H. Effect of Visual Input on Postural Stability in Young Adults with Chronic Motion Sensitivity: A Controlled Cross-Sectional Study. J Vestib Res, 2017, vol. 27 (4), pp. 225–231. DOI: 10.3233/VES-170534
10. Grokhovskii S.S., Kubryak O.V. A Method for Integral Assessment of the Effectiveness of Posture Regulation in Humans. Biomedical Engineering, 2018, vol. 52, no. 2, pp. 138–141. DOI: 10.1007/s10527-018-9799-7
Published
2018-11-01
How to Cite
Kubryak, O., Panova, E., & Kriklenko, E. (2018). EFFECT OF BIOLOGICAL FEEDBACK DEPTH ON THE PERFORMANCE OF INSTRUCTION BY HEALTHY VOLUNTEERS. Human. Sport. Medicine, 18(S), 19-26. https://doi.org/10.14529/hsm18s03
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Section
Physiology
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