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An APP Design for Stroke Rehabilitation

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1205))

Abstract

Stroke has become a major threat to the health of modern people, especially for the elderly. After the stroke, it is very important to apply effective and convenient rehabilitation therapy. Based on the advanced therapies, this study presents a scientific treatment process in an interactive manner to assist the rehabilitation of stroke patients, and developed a product to realize the treatment process accordingly. Through the use of tablet computers, the rehabilitation guidance and interactions set by the APP can be presented to stroke patients. This study explores the possibility of applying advanced therapies (i.e., motor imaging therapy) for stroke rehabilitation therapy on the mobile terminal. It is driven by patient needs, provides an autonomous platform for stroke patients, and realizes the functions of stimulating exercise, recording the treatment effect and providing health management knowledge in stroke rehabilitation.

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References

  1. Ferreira, C., Guimarães, V., Santos, A., Sousa, I.: Gamification of stroke rehabilitation exercises using a smartphone. In: PervasiveHealth 2014, pp. 282–285 (2014)

    Google Scholar 

  2. Kirk, P., Grierson, M., Bodak, R., Ward, N., Brander, F., Kelly, K., et al.: Motivating stroke rehabilitation through music: a feasibility study using digital musical instruments in the home. In: Chi 2016, pp. 1781–1785 (2016)

    Google Scholar 

  3. Lee, M.H.: A technology for computer-assisted stroke rehabilitation. In: Iui 2018, 665–666 (2018)

    Google Scholar 

  4. Chen, Y., Lehrer, N., Sundaram, H., Rikakis, T.: Adaptive mixed reality stroke rehabilitation: system architecture and evaluation metrics. In: MMSys 2010, pp. 293–304 (2010)

    Google Scholar 

  5. Lee, M.H., Siewiorek, D.P., Smailagic, A., Bernardino, A., Bermúdez i Badia, S.: Learning to assess the quality of stroke rehabilitation exercises. In: Iui 2019, pp. 218–228 (2019)

    Google Scholar 

  6. Khademi, M., Mousavi Hondori, H., Dodakian, L., Lopes, C.V., Cramer, S.C.: An assistive tabletop keyboard for stroke rehabilitation. In: Its 2013, pp. 337–340 (2013)

    Google Scholar 

  7. Kirk, P.: Can specialised electronic musical instruments aid stroke rehabilitation? In: Chi Ea 2015, pp. 127–132 (2015)

    Google Scholar 

  8. Lee, N., Lee, Y.H., Chung, J., Heo, H., Yang, H., Lee, K.S., et al.: Shape-changing robot for stroke rehabilitation. In: Dis 2014, pp. 325–334 (2014)

    Google Scholar 

  9. Alankus, G., Lazar, A., May, M., Kelleher, C.: Towards customizable games for stroke rehabilitation. In: Chi 2010, pp. 2113–2122 (2010)

    Google Scholar 

  10. Boulanger, C., Boulanger, A., de Greef, L., Kearney, A., Sobel, K., Transue, R., et al.: Stroke rehabilitation with a sensing surface. In: Chi 2013, pp. 1243–1246 (2013)

    Google Scholar 

  11. Ma, M., Proffitt, R., Skubic, M.: Quantitative assessment and validation of a stroke rehabilitation game. In: Chase 2017, pp. 255–257 (2017)

    Google Scholar 

  12. Khademi, M., Mousavi Hondori, H., McKenzie, A., Dodakian, L., Lopes, C.V., Cramer, S.C.: Comparing direct and indirect interaction in stroke rehabilitation. In: Chi Ea 2014, p. 1639 (2014)

    Google Scholar 

  13. King, M., Hijmans, J., Sampson, M., Satherley, J., McMillan, N., Hale, L.: Bilateral movement training with computer games for stroke rehabilitation. In: iCREATe 2010 (2010)

    Google Scholar 

  14. Moital, A.R., Dogramadzi, S., Ferreira, H.A.: Development of an EMG controlled hand exoskeleton for post-stroke rehabilitation. In: Rehab 2015, pp. 66–72 (2015)

    Google Scholar 

  15. Hashim, S.H.M., Ismail, M., Manaf, H., Hanapiah, F.A.: Development of dual cognitive task virtual reality game addressing stroke rehabilitation. In: Icvars 2019, pp. 21–25 (2019)

    Google Scholar 

  16. Hou, X., Sourina, O.: Emotion-enabled haptic-based serious game for post stroke rehabilitation. In: Vrst 2013, pp. 31–34 (2013)

    Google Scholar 

  17. Jung, Y., Yeh, S.-C., Stewart, J.: Tailoring virtual reality technology for stroke rehabilitation: a human factors design. In: Chi Ea 2006, pp. 929–934 (2006)

    Google Scholar 

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Correspondence to Danni Chang .

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Zou, F., Chang, D., Song, F. (2020). An APP Design for Stroke Rehabilitation. In: Kalra, J., Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1205. Springer, Cham. https://doi.org/10.1007/978-3-030-50838-8_40

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  • DOI: https://doi.org/10.1007/978-3-030-50838-8_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50837-1

  • Online ISBN: 978-3-030-50838-8

  • eBook Packages: EngineeringEngineering (R0)

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