Abstract
Research objectives: specify the framework of using cutting-edge approaches and innovations in the training of rehabilitation physicians; investigate existing innovative technologies; get an insight into the motivation of students majoring in rehabilitation when working with the Gross simulator in sports rehabilitation of patients. The research was conducted at a mixed-type rehabilitation center for disabled adults and children at Soochow University in China. The study was conducted among 200 students majoring in rehabilitation at Soochow University and 100 children from a rehabilitation center with motor disorders: 50 boys and 50 girls. The patients were aged 4-6 years, and the average age of the participating students was 21 years. The students were offered a 6-month training course in rehabilitation of patients with musculoskeletal disorders, by using innovative technology—the Gross simulator. Student motivation analysis yielded the following outcomes: 90% of the students said that training to operate simulators is useful for the rehabilitation specialist, because this affects the proficiency of such specialist; 15% of students reported they did not like innovative technology in teaching because they faced difficulties in understanding it; 80% of students believed such technology facilitated the learning, and 5% of students were neutral. Further studies, conducted on clinical research sites, might address the effectiveness of training rehabilitation specialists, the use of cutting-edge simulators and robotic systems, as well as development of rehabilitation protocols for patients with injuries and musculoskeletal disorders.
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Agostino, D., Frairia, R., Romeo, P., Amelio, E., Berta, L., Bosco, V., Gigliotti, S., Guerra, C., Messina, S., Messuri, L., Moretti, B., Notarnicola, A., Maccagnano, G., Russo, S., Saggini, R., Vulpiani, M. C., & Buselli, P. (2016). Extracorporeal shockwaves as regenerative therapy in orthopedic traumatology: A narrative review from basic research to clinical practice. Journal of Biological Regulators and Homeostatic Agents, 30(2), 323–332.
Alioshyna, A. I. (2014). On the issue of infantile cerebral palsy. Physical Education, Sport and Health Culture in Modern Society, 3(27), 76–79.
Andersson, J. A., Gillis, J., Horn, G., Rawlings, J. B., & Diehl, M. (2019). CasADi: A software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, 11(1), 1–36. https://doi.org/10.1007/s12532-018-0139-4
Bailey, A., Palferman, S., Heavey, L., & Le Couteur, A. (1998). Autism: The phenotype in relatives. Journal of Autism and Developmental Disorders, 28(5), 369–392. https://doi.org/10.1023/A:1026048320785
Bogdanovska, N. V., & Vindiuk, P. A. (2014). Features of application of physical rehabilitation approaches for children with cerebral palsy. Visnyk Zaporizkogo Natsionalnogo Universytetu. Series: Physical Education and Sports, 1(12), 10–16.
Bukhovets, B. O. (2016). Control psychophysical children’s development under the correction movement disorder. Journal of Education, Health and Sport, 6(2), 200–210. https://doi.org/10.5281/zenodo.46410
Bukhovets, B. O., Imas, Y. V., & Kashuba, V. O. (2018). Effectiveness of the use of innovational Bobath therapy approach for physical rehabilitation of children with cerebral palsy. Sportyvnyi Visnyk Prydniprovia, 2, 9–14.
Canadian Physiotherapy Association. (1995). The Physiotherapy Profession in Canada. Canadian Physiotherapy Association.
Chen, S. L., Craig, M., Callan, R., Powrie, H., & Wood, R. (2008). Use of artificial intelligence methods for advanced bearing health diagnostics and prognostics. In 2008 IEEE Aerospace Conference (pp. 1–9). IEEE. https://doi.org/10.1109/AERO.2008.4526604
Cheng, J. H., & Wang, C. J. (2015). Biological mechanism of shockwave in bone. International Journal of Surgery, 24, 143–146. https://doi.org/10.1016/j.ijsu.2015.06.059
De Groote, F., Kinney, A. L., Rao, A. V., & Fregly, B. J. (2016). Evaluation of direct collocation optimal control problem formulations for solving the muscle redundancy problem. Annals of Biomedical Engineering, 44(10), 2922–2936. https://doi.org/10.1007/s10439-016-1591-9
European Region of the World Congress of Physical Therapy. (2010). Information paper with recommendations on continuing professional development. European Region of the World Congress of Physical Therapy.
Falisse, A., Bar-On, L., Desloovere, K., Jonkers, I., & De Groote, F. (2018). A spasticity model based on feedback from muscle force explains muscle activity during passive stretches and gait in children with cerebral palsy. PLoS One, 13(12), e0208811. https://doi.org/10.1371/journal.pone.0208811
Falisse, A., Serrancolí, G., Dembia, C. L., Gillis, J., & De Groote, F. (2019). Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement. PLoS One, 14(10), e0217730. https://doi.org/10.1371/journal.pone.0217730
Granatosky, M. C., Bryce, C. M., Hanna, J., Fitzsimons, A., Laird, M. F., Stilson, K., Wall, C. E., & Ross, C. F. (2018). Inter-stride variability triggers gait transitions in mammals and birds. Proceedings of the Royal Society B, 285(1893), 20181766. https://doi.org/10.1098/rspb.2018.1766
Gross, N. A. (2005). Contemporary comprehensive methods of physical rehabilitation of children with musculoskeletal disorders. Sovetskiy sport.
Himmelmann, K., & Uvebrant, P. (2011). Function and neuroimaging in cerebral palsy: A population-based study. Developmental Medicine & Child Neurology, 53(6), 516–521. https://doi.org/10.1111/j.1469-8749.2011.03932.x
Himmelmann, K., Lindh, K., & Hidecker, M. J. C. (2013). Communication ability in cerebral palsy: A study from the CP register of western Sweden. European Journal of Paediatric Neurology, 17(6), 568–574. https://doi.org/10.1016/j.ejpn.2013.04.005
Hu, B., Zhou, C., Wang, H., & Yin, L. (2021). Prediction and validation of dynamic characteristics of a valve train system with flexible components and gyroscopic effect. Mechanism and Machine Theory, 157, 104222. https://doi.org/10.1016/j.mechmachtheory.2020.104222
Huang, L., Yin, L., Liu, B., & Yang, Y. (2021). Design and error evaluation of planar 2DOF remote center of motion mechanisms with cable transmissions. Journal of Mechanical Design, 143(1), 013301. https://doi.org/10.1115/1.4047519
Imas, Y., Kashuba, V., & Bukhovets, B. (2018). Based on the experience of physical rehabilitation of children with cerebral palsy using Bobat-therapy. Slobozhanskyi Herald of Science and Sport, 4(66), 10–15.
Kashuba, V., & Bukhovets, B. (2017). The indicators of physical development of children with Cerebral Palsy as the basis of differential approach to implementation of the physical rehabilitation program of using Bobath-therapy method. Journal of Education, Health and Sport, 7(3), 835–849.
Kashuba, V., & Bukhovets, B. (2018). Indicators of Cerebral Blood flow changes in venous vessels of children with ICP in the course of physical rehabilitation using the Bobath therapy method. Molodizhnyy Naukovyy Visnyk Skhidnoievropeys’koho Natsional’noho Universytetu Imeni Lesi Ukrainky, 28, 156–163.
Keawutan, P. (2017). Relationship between habitual physical activity, gross motor function, community mobility and quality of life in 4–5 year old children with cerebral palsy [Published Master’s thesis]. The University of Queensland.
Khan, S., Pettnaik, M., & Mohanty, P. (2015). Effect of arm movement without specific balance control training to improve trunk postural control in children with spastic diplegic cerebral palsy. Afro Asian Journal of Science and Technology, 6(10), 1907–1913.
Kim, Y., Bulea, T. C., & Damiano, D. L. (2018). Children with cerebral palsy have greater stride-to-stride variability of muscle synergies during gait than typically developing children: Implications for motor control complexity. Neurorehabilitation and Neural Repair, 32(9), 834–844. https://doi.org/10.1177/1545968318796333
Kolot, A. M., & Tsimbalyuk, S. O. (2011). Personnel motivation: A textbook. KNEU.
Kolot, A. M. (1998). Motivation, incentives and evaluation of employees: Textbook. KNEU.
Kuno, K., Ishii, Y., Ueda, T., Kurokawa, T., Chen, Z., Tanaka, T., & Tominaga, R. (2010). The effects of physical training on standing long jump among the people with autism and the Down syndrome. Medicine & Science in Sports & Exercise, 42(5), 335–336.
Lin, Y. C., Walter, J. P., & Pandy, M. G. (2018). Predictive simulations of neuromuscular coordination and joint-contact loading in human gait. Annals of Biomedical Engineering, 46(8), 1216–1227. https://doi.org/10.1007/s10439-018-2026-6
Lipovska, N. A., & Pismenniy, I. V. (2019). Psychology of management. Grani.
Loske, A. M. (2017). Medical and biomedical applications of shock waves. Springer International.
Mathewson, M. A., Ward, S. R., Chambers, H. G., & Lieber, R. L. (2015). High resolution muscle measurements provide insights into equinus contractures in patients with cerebral palsy. Journal of Orthopaedic Research, 33(1), 33–39. https://doi.org/10.1002/jor.22728
Mintser, O. P., Shevtsova, O. M., & Sarkanych, O. V. (2019). Remote control of patient rehabilitation processes. Medical Informatics and Engineering, 4, 73–75.
Ong, C. F., Geijtenbeek, T., Hicks, J. L., & Delp, S. L. (2019). Predicting gait adaptations due to ankle plantarflexor muscle weakness and contracture using physics-based musculoskeletal simulations. PLoS Computational Biology, 15(10), e1006993. https://doi.org/10.1371/journal.pcbi.1006993
Palmer, D. (1990). Artificial intelligence in healthcare management. Healthcare Informatics: The Business Magazine for Information and Communication Systems, 7(3), 54–54.
Song, S., & Geyer, H. (2015). A neural circuitry that emphasizes spinal feedback generates diverse behaviours of human locomotion. The Journal of Physiology, 593(16), 3493–3511. https://doi.org/10.1113/JP270228
Tang, Z., Zhao, G., & Ouyang, T. (2021). Two-phase deep learning model for short-term wind direction forecasting. Renewable Energy, 173, 1005–1016. https://doi.org/10.1016/j.renene.2021.04.041
Vasilenko, E., & Martseniuk, I. (2015). The main directions of rehabilitation of premature infants with dysfunctions of musculoskeletal system. Molodizhnyy Naukovyy Visnyk Skhidnoievropeys’koho Natsional’noho Universytetu Imeni Lesi Ukrainky, 8, 106–111.
Wong, K. K., Fortino, G., & Abbott, D. (2020). Deep learning-based cardiovascular image diagnosis: A promising challenge. Future Generation Computer Systems, 110, 802–811. https://doi.org/10.1016/j.future.2019.09.047
World Health Organization. (2015). Global Strategy on Human Resources for Health: Workforce 2030 DRAFT for consultation. World Health Organization.
Zittel, L., Pyfer, J., & Auxter, D. (2016). Principles and methods of adapted physical education & recreation. Jones & Bartlett Publishers.
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YZ conceived and designed the analysis; WL collected the data; JY contributed data or analysis tools; ZL and LW performed the analysis; YZ, WL, JY, ZL and LW wrote the paper. All authors read and approved the final manuscript.
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The authors declare that the work is written with due consideration of ethical standards. The study was conducted in accordance with the ethical principles approved by Hebei Normal University of Science and Technology (Protocol № 11 of 18.01.2022).
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The study was conducted by interviewing subjects that participated voluntarily.
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Appendix
Appendix
1.1 Interview questions for rehabilitation students
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What is your favorite way to learn—in a group of like-minded people or independently? Why?
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Do you think a rehabilitation physician can be competent without learning and practicing new technology in his or her field?
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Does innovation in sports rehabilitation training determine the rehabilitation outlooks?
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Did you enjoy studying and working on the Gross simulator? Why?
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Were you satisfied with the outcome of your patient’s treatment?
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What is the advantage of the new technology in rehabilitation?
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For what do you need the knowledge and skills to use simulators?
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What affects the rehabilitation physician’s skills?
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Is it important to update your knowledge continuously?
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Do the financial incentives work for you?
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Zhang, Y., Li, W., Yang, J. et al. Cutting-edge approaches and innovations in sports rehabilitation training: Effectiveness of new technology. Educ Inf Technol 28, 6231–6248 (2023). https://doi.org/10.1007/s10639-022-11438-1
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DOI: https://doi.org/10.1007/s10639-022-11438-1