Abstract
As a result of the constantly growing number of people in the World, disabilities became one of the most important aspects related to human health. According to the World Health Organization, a disabled person is “anyone who affects a reduction in performance or fitness in the construction or functioning of the body in terms of psychological, physical or anatomical.” On a global scale, the main cause of acquired motor disability is ischemic stroke. Therefore, it is essential to look for solutions that will help people with disabilities to rejoice as much independence and health as possible. For this purpose, the library databases of universities in Poland, units and scientific institutes from Poland, as well as the most popular databases—PubMed and Google Scholar were searched. As a result of the queries, 1057 records were obtained, which, according to the adopted criteria, only 24 were selected for further analysis. The main focus of the presented study was on issues related to supporting both diagnostics and therapy. Methods such as the use of basic devices for drainage and uprightization, walking trainers and multimodal platforms, biomechanical devices—exoskeletons and the use of virtual reality in the rehabilitation process were addressed.
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References
Andrade, K.D.O., Fernandes, G., Martins, J., Roma, V.C., Joaquim, R.C., Caurin, G.A.: Rehabilitation robotics and serious games: An initial architecture for simultaneous players. In 2013 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC), 1-6 (2013)
Berg, K.O.,Wood-Dauphinee, S.L.,Williams, J.I.,Maki, B.:Measuring balance in the elderly: validation of an instrument. Canadian journal of public health - Revue canadienne de sante publique 83, 7–11 (1992)
Bortole, M.,Venkatakrishnan, A., Zhu, F., Moreno, J.C., Francisco,G.E., Pons, J.L., Contreras- Vidal, J.L.: The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study. Journal of neuroengineering and rehabilitation 12(1), 54 (2015)
Cho, S., Ku, J., Cho, Y.K., Kim, I.Y., Kang, Y.J., Jang, D.P., Kim, S.I.: Development of virtual reality proprioceptive rehabilitation system for stroke patients. Computer methods and programs in biomedicine 113(1), 258–265 (2013)
Dega, W., Milanowska, K.: Ortopedia i rehabilitacja we współczesnym ujciu. Ortopedia i rehabilitacja, Wyd. Lekarskie PZWL 9 (2003)
Drużbicki, M., Kwolek, A., Depa, A.: Pionizacja w procesie rehabilitacji chorych z objawami ogniskowego uszkodzenia ośrodkowego układu nerwowego-nowe możliwości aparaturowe. Wyd. UM. Rzeszów 1, 14–20 (2008)
Esquenazi, A., Talaty,M., Packel, A., Saulino, M.: The ReWalk powered exoskeleton to restore ambulatory function to individuals with thoracic-level motor-complete spinal cord injury. American journal of physical medicine & rehabilitation 91(11), 911–921 (2012)
Faria, A.L., Andrade, A., Soares, L., Badia, S.B.: Benefits of virtual reality based cognitive rehabilitation through simulated activities of daily living: a randomized controlled trial with stroke patients. Journal of neuroengineering and rehabilitation 13(1), 96 (2016)
Fleerkotte, B.M.,Koopman, B., Buurke, J.H., vanAsseldonk, E.H., van derKooij, H., Rietman, J.S.: The effect of impedance-controlled robotic gait training on walking ability and quality in individuals with chronic incomplete spinal cord injury: an explorative study. Journal of neuroengineering and rehabilitation 11(1), 26 (2014)
Gamito, P., Oliveira, J., Coelho, C., Morais, D., Lopes, P., Pacheco, J., Barata, A.F.: Cognitive training on stroke patients via virtual reality-based serious games. Disability and rehabilitation39(4), 385–388 (2017)
Geerts, W.H., Pineo, G.F., Heit, J.A., Bergqvist, D., Lassen, M.R., Colwell, C.W., Ray, J.G.: Prevention of venous thromboembolism: the Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy. Chest 126(3), 338–400 (2004)
Główny Urząd Statystyczny: Stan zdrowia ludności Polski w 2014 r (2014)
Jaworska, M., Tuzim, T., Starczyńska, M., Wilk-Frańczuk, M., Pedrycz, A.: Ocena wpływu rehabilitacji na zaburzenia równowagi u pacjentów po niedokrwiennym udarze mózgu z wykorzystaniem wybranych testów i skal. Polish Hyperbaric Research 2(51), 55–66 (2015)
Lukowicz, M., Kuczma, W., Hoffman, J.: Aktywna pionizacja pacjentów we wczesnej i rehabilitacji neurologicznej. Acta Bio-Optica et Informatica Medica. Inżynieria Biomedyczna 14(3), 213–216 (2008)
Mace, M., Kinany, N., Rinne, P., Rayner, A., Bentley, P., Burdet, E.: Balancing the playing field: collaborative gaming for physical training. Journal of neuroengineering and rehabilitation 14(1), 116 (2017)
Michnik, R., Jurkojć, J., Rycerski, W.: Analiza zmian wybranych parametrów w badaniach stabilograficznych u pacjentów ze schorzeniami w obrębie kończyny dolnej przed i po rehabilitacji (2007)
Milanowska, K. (ed.).: Techniki pracy w terapii zajęciowej. Państ. Zakład Wydawnictw Lekarskich (1982)
Orzech, J.: Rozwój technik i metod fizjoterapii w okresie od 1801 do 2001 roku. Akademia Wychowania Fizycznego Im, Bronisława Czecha w Krakowie (2003)
Ozaki, K., Kondo, I., Hirano, S., Kagaya, H., Saitoh, E., Osawa, A., Fujinori, Y.: Training with a balance exercise assist robot is more effective than conventional training for frail older adults. Geriatrics and Gerontology International 17(11), 1982–1990 (2017)
Paiman, C., Lemus, D., Short, D., Vallery, H.: Observing the State of Balance with a Single Upper-Body Sensor. Frontiers in Robotics and AI 3, 11 (2016)
Piron, L., Turolla, A., Agostini, M., Zucconi, C.S., Ventura, L., Tonin, P., Dam, M.: Motor learning principles for rehabilitation: a pilot randomized controlled study in poststroke patients. Neurorehabilitation and Neural Repair 24(6), 501–508 (2010)
Polygerinos, P., Wang, Z., Galloway, K.C., Wood, R.J., Walsh, C.J.: Soft robotic glove for combined assistance and at - home rehabilitation. Robotics and Autonomous Systems 73, 135–143 (2015)
Rocchi, L., Chiari, L., Cappello, A.: Feature selection of stabilometric parameters based on principal component analysis.Medical and Biological Engineering and Computing 42(1), 71–79 (2004)
Saposnik, G., Cohen, L.G., Mamdani, M., Pooyania, S., Ploughman, M., Cheung, D., Nilanont, Y.: Efficacy and safety of non-immersive virtual reality exercising in stroke rehabilitation (EVREST): a randomised, multicentre, single-blind, controlled trial. The Lancet Neurology 15(10), 1019–1027 (2016)
Sessoms, P.H., Gottshall, K.R., Collins, J.D., Markham, A.E., Service, K.A., Reini, S.A.: Improvements in gait speed and weight shift of persons with traumatic brain injury and vestibular dysfunction using a virtual reality computer-assisted rehabilitation environment. Military medicine 180(suppl_3), 143–149 (2015)
Shirota, C., Van Asseldonk, E., Matjacić, Z., Vallery, H., Barralon, P., Maggioni, S., Veneman, J.F.: Robot-supported assessment of balance in standing and walking. Journal of neuroengineering and rehabilitation 14(1), 80 (2017)
Vlutters, M., Van Asseldonk, E.H., Van der Kooij, H.: Center of mass velocity-based predictions in balance recovery following pelvis perturbations during human walking. Journal of experimental biology 219(10), 1514–1523 (2016)
Wojtyniak, B.: Sytuacja zdrowotna ludności Polski. Goryński, P. (ed.). Warszawa: Narodowy Instytut Zdrowia Publicznego-Państwowy Zakład Higieny (2008)
World Health Organizations (1980)
World Health Organization.: The top 10 causes of death (2014)
Wiszomirska, I., Kaczmarczyk, K., Zdrodowska, A., Blażkiewicz, M., Ilnicka, L., Marciniak, T.: Evaluation of static and dynamic postural stability in young, elderly and with vision loss women. Advances in Rehabilitation 27(3), 29–35 (2013)
Yoshimoto, T., Shimizu, I., Hiroi, Y., Kawaki, M., Sato, D., Nagasawa, M.: Feasibility and efficacy of high-speed gait training with a voluntary driven exoskeleton robot for gait and balance dysfunction in patients with chronic stroke: nonrandomized pilot study with concurrent control. International Journal of Rehabilitation Research 38(4), 338–343 (2015)
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Kania, D. et al. (2021). Technology as a Support for Rehabilitation Patients After Stroke. In: Gzik, M., Paszenda, Z., Pietka, E., Tkacz, E., Milewski, K. (eds) Innovations in Biomedical Engineering. AAB 2020. Advances in Intelligent Systems and Computing, vol 1223. Springer, Cham. https://doi.org/10.1007/978-3-030-52180-6_24
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