Specific patterns of adaptive human kinematics
https://doi.org/10.29235/1814-6023-2023-20-1-82-88
Abstract
A study of healthy individuals (n = 90) was carried out under standardized environmental conditions using tests of adaptive kinematics in the form of a battery of postural tests. A model of adaptive kinematics of healthy individuals, resistant to personal (age and anthropometric) uncertainties, has been developed. 34 criteria selected from a total pool of 170 indicators were used as relevant parameters underlying the developed biomechanical model.
About the Authors
V. A. Lukashevich
Belarusian Medical Academy of Postgraduate Education
Belarus
Belarus
Vladislav A. Lukashevich – Ph. D. (Med.), Associate Professor
3/3, P. Browka Str., 220013, Minsk
V. V. Ponomarev
Belarusian Medical Academy of Postgraduate Education
Belarus
Belarus
Vladimir V. Ponomarev – D. Sc. (Med.), Associate Professor
3/3, P. Browka Str., 220013, Minsk
S. V. Gubkin
Institute of Physiology of the National Academy of Sciences of Belarus
Belarus
Belarus
Sergey V. Gubkin – Corresponding Member, D. Sc. (Med.), Professor, Director
28, Akademicheskaya Str., 220072, Minsk
M. I. Tarasevich
2nd City Clinical Hospital (25, Engels Str., 220030, Minsk
Belarus
Belarus
Mechislav I. Tarasevich – Ph. D. (Med.), Head of the Department
S. M. Mankevich
Belarusian Medical Academy of Postgraduate Education
Belarus
Belarus
Svetlana M. Mankevich – Ph. D. (Med.), Associate Professor
3/3, P. Browka Str., 220013, Minsk
References
1. Kulesh S. D., Filina N. A., Kostinevich T. M., Kletskova L. A., Savchenko M. E. Long-term outcomes of cerebral stroke in a large urban population of Belarus. Vestnik Vitebskogo gosudarstvennogo meditsinskogo universiteta [Bulletin of Vitebsk State Medical University], 2011, vol. 10, no. 3, pp. 93–101 (in Russian).
2. Katan M., Luft A. Global Burden of Stroke. Seminars in Neurology, 2018, vol. 38, no. 2, pp. 208–211. https://doi. org/10.1055/s-0038-1649503
3. Sadek J. R., Stricker N., Adair J. C., Haaland K. Y. Performance-based everyday functioning after stroke: relationship with IADL questionnaire and neurocognitive performance. Journal of the International Neuropsychological Society, 2011, vol. 17, no. 5, pp. 832–840. https://doi.org/10.1017/S1355617711000841
4. Mercier C., Bertrand A. M., Bourbonnais D. Differences in the magnitude and direction of forces during a submaximal matching task in hemiparetic subjects. Experimental Brain Research, 2004, vol. 157, no. 1, pp. 32–42. https://doi.org/10.1007/ s00221-003-1813-x
5. Dewald J. P., Pope P. S., Given J. D., Buchanan T. S., Rymer W. Z. Abnormal muscle coactivation patterns during isometric torque generation at the elbow and shoulder in hemiparetic subjects. Brain, 1995, vol. 118, pt. 2, pp. 495–510. https:// doi.org/10.1093/brain/118.2.495
6. Dewald J. P., Beer R. F. Abnormal joint torque patterns in the paretic upper limb of subjects with hemiparesis. Muscle Nerve, 2001, vol. 24, no. 2, pp. 273–283. https://doi.org/10.1002/1097-4598(200102)24:23.0.co;2-z
7. Gladstone D. J., Danells C. J., Black S. E. The Fugl-Meyer assessment of motor recovery after stroke: a critical review of its measurement properties. Neurorehabilitation and Neural Repair, 2002, vol. 16, no. 3, pp. 232–240. https://doi. org/10.1177/154596802401105171
8. Bushnell C. D., Johnston D. C., Goldstein L. B. Retrospective assessment of initial stroke severity: comparison of the NIH Stroke Scale and the Canadian Neurological Scale. Stroke, 2001, vol. 32, no. 3, pp. 656–660. https://doi.org/10.1161/01. str.32.3.656
9. Johnson M. J., Wang S., Bai P., Strachota E., Tchekanov G., Melbye J., McGuire J. Bilateral assessment of functional tasks for robot-assisted therapy applications. Medical and Biological Engineering and Computing, 2011, vol. 49, no. 10, pp. 1157–1171. https://doi.org/10.1007/s11517-011-0817-0
10. Colombo R., Cusmano I., Sterpi I., Mazzone A., Delconte C., Pisano F. Test-retest reliability of robotic assessment measures for the evaluation of upper limb recovery. Neural Systems and Rehabilitation Engineering, 2014, vol. 22, no. 5, pp. 1020–1029. https://doi.org/10.1109/TNSRE.2014.2306571
11. Mukherjee M., Koutakis P., Siu K.-C., Fayad P. B., Stergiou N. Stroke survivors control the temporal structure of variability during reaching in dynamic environments. Annals of Biomedical Engineering, 2013, vol. 41, no. 2, pp. 366–376. https:// doi.org/10.1007/s10439-012-0670-9
12. Lukashevich V. A., Ponomarev V. V., Mitskevich V. E., Gubkin S. V., Gavrilovich Yu. A., Zhurko E. A., Kipel’ A. N. Phenomenology of inertial kinematics in the structure of motor adaptations formation. Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki [Reports of the Belarusian State University of Informatics and Radioelectronics], 2020, vol. 18, no. 5, pp. 62–70 (in Russian).
13. Lukashevich V. A., Ponomarev V. V., Gubkin S. V., Mitskevich V. E., Osipov A. N. New possibilities for quantitative assessment of the qualitative structure of adaptive kinematics. Meditsinskii zhurnal [Medical journal], 2020, no. 4, pp. 69–77 (in Russian).
14. Lukashevich V. A., Ponomarev V. V. Classification of motor impairments after stroke in consequence of adaptive kinematic specificity. Mezhdunarodnyi nevrologicheskii zhurnal = International Neurological Journal, 2020, vol. 16, no. 5, pp. 40–47 (in Russian).
15. Lukashevich V. A., Ponomarev V. V., Gubkin S. V., Mitskevich V. E. Method for assessing adaptive kinematics in the experiment of post-way testing. Novosti mediko-biologicheskikh nauk = News оf biomеdical sciences, 2020, vol. 20, no. 2, pp. 6–15 (in Russian).
16. Lukashevich V. A., Morozevich-Shilyuk T. A., Lesiv G. G. Experience in using a mobile application to assess the state of the musculoskeletal system. Mir sporta [World of sports], 2021, no. 2, pp. 122–128 (in Russian).
Review
For citations:
Lukashevich V.A., Ponomarev V.V., Gubkin S.V., Tarasevich M.I., Mankevich S.M. Specific patterns of adaptive human kinematics. Proceedings of the National Academy of Sciences of Belarus, Medical series. 2023;20(1):82-88. (In Russ.) https://doi.org/10.29235/1814-6023-2023-20-1-82-88
Views: 235
Email this article 