Journals / International Journal of Health Administration and Education Congress (Sanitas Magisterium) / 2020 / Cilt: 6 - Sayı: 1

TECHNOLOGICAL REHABILITATION PHILOSOPHY

Pages
18–23
Publication Date
2020-01-07
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the studies, it has been concluded that it has made significant contributions in terms of speed, efficiency, accessibility and cost.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Technological rehabilitation includes robotic and wearable devices, virtual reality applications, three-dimensional motion analysis systems and e-health and mobile health applications.
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Key Findings & Data:As the demand for therapy is expected to increase in the future, the technology that will enable patients to receive training with minimal therapist time consumption has an important role.
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Conclusion & Impact:In the studies, it has been concluded that it has made significant contributions in terms of speed, efficiency, accessibility and cost.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Technology · Innovation · Robotics

Abstract

Technological rehabilitation includes robotic and wearable devices, virtual reality applications, three-dimensional motion analysis systems and e-health and mobile health applications. Our aim was to determine the framework of the philosophy and aims of rehabilitation technology. These systems have been developed to achieve objective and reliable results, to shape treatment sessions and to improve quality, reduce labor and cost. As the demand for therapy is expected to increase in the future, the technology that will enable patients to receive training with minimal therapist time consumption has an important role. E-health and mobile health systems can be utilized effectively in data generation, storage, transportation, analysis, sharing and security. Robotic devices, on the other hand, are the equipments that come to the forefront in rehabilitation applications with the development of technology. These devices help to make objective, reliable analysis by recording kinetic and kinematic data. Another example of technological rehabilitation is virtual reality (VR) applications. In these systems, by making use of virtual games and visual and audio feedback, it is aimed to get the task and many repetitions as motivated. Finally, optical systems are commonly used in motion analysis and are accepted as the gold standard. They require experienced personnel skills and sufficient laboratory space. In the studies, it has been concluded that it has made significant contributions in terms of speed, efficiency, accessibility and cost. With such technologies, patients can exercise more often, resulting in better results and faster progress in motor (re) learning. Although positive results are obtained in the current studies, the development of these systems continues and it is aimed to increase the further studies.

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Cite This Article

ÇAKIR, F., KARABACAK, N., SARI, Z. (2020). TECHNOLOGICAL REHABILITATION PHILOSOPHY. International Journal of Health Administration and Education Congress (Sanitas Magisterium), Cilt: 6 - Sayı: 1, 18–23. https://ajindex.com/articles/767200

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References (12)

  1. http://www.acces.nysed.gov/vr/137000-rehabilitation-technology-policy Technology -Related Assistance for Individuals with Disabilities – Access Date:30.05.2019
  2. Işik, A. H., & Güler, İ. (2010). Teletıpta Mobil Uygulama Çalışması ve Mobil İletişim Teknolojilerinin Analizi. International Journal of Informatics Technologies, 3(1). Krebs HI, Hogan N, Aisen ML, Volpe BT: Robot-aided neurorehabilitation. IEEE Trans Rehabil Eng 1998, 6(1):75-87.
  3. Krebs HI, P JJ, Dipietro L, Ferraro M, Volpe BT, Hogan N: Rehabilitation Robotics: Performance-Based Progressive Robot-Assisted Therapy. Autonomous Robots 2003, 15.7-20.
  4. Johnson MJ, Loos HF Van der, Burgar CG, Shor P, Leifer LJ: Experimental results using force-feedback cueing in robot-assisted stroke therapy. IEEE Trans Neural Syst Rehabil Eng 2005, 13(3):335-348.
  5. Merians AS, Jack D, Boian R, Tremaine M, Burdea GC, Adamovich SV, Recce M, Poizner H: Virtual reality-augmented rehabilitation for patients following stroke. Phys Ther 2002, 82(9):898-915. http://ec.europa.eu/health/ehealth/policy/index_en.htm eHealth: Digital health and care – Access Date:30.05.2019
  6. Hanaylı, M. C., Serbest, S., & Ürekli, T. (2015). Otizmli Çocukların Sosyal Becerilerini Geliştirmeye Yönelik Android Uygulaması. XVII. Akademik Bilişim Konferansı. Eskişehir: Anadolu Üniversitesi.
  7. Güler, E., & Eby, G. (2015). Akıllı Ekranlarda Mobil Sağlık Uygulamaları. Eğitim ve Öğretim Araştırmaları Dergisi, 4(3), 45-51.
  8. Kılıç, T. (2017). e-Sağlık, İyi Uygulama Örneği; Hollanda. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi, 6(3), 203-217.
  9. Garcia, N., Sabater-Navarro, J. M., Gugliemeli, E., & Casals, A. (2011). Trends in rehabilitation robotics. Bertomeu-Motos, A., Lledó, L., Díez, J., Catalan, J., Ezquerro, S., Badesa, F., & Garcia-Aracil, N. (2015). Estimation of human arm joints using two wireless sensors in robotic rehabilitation tasks. Sensors, 15(12), 30571-30583.
  10. Mehrholz, J., & Pohl, M. (2012). Electromechanical-assisted gait training after stroke: a systematic review comparing end-effector and exoskeleton devices. Journal of rehabilitation medicine, 44(3), 193-199.
  11. Bruni, M. F., Melegari, C., De Cola, M. C., Bramanti, A., Bramanti, P., & Calabrò, R. S. (2018). What does best evidence tell us about robotic gait rehabilitation in stroke patients: a systematic review and meta-analysis. Journal of Clinical Neuroscience, 48, 11-17.
  12. Krebs, H. I., & Hogan, N. (2012). Robotic therapy: the tipping point. American journal of physical medicine & rehabilitation/A