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International Visual Informatics Conference

IVIC 2019: Advances in Visual Informatics pp 343–352Cite as

Virtual Lower Limb Stroke Rehabilitation to Assess Post Stroke Patients

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11870))

Abstract

Stroke is a disease that causes disability in adults due to the abrupt interruption of constant blood flow to the brain. Most people encounter difficulties with movement after a stroke, which prevents them from moving around. However, patients often show a lessened endurance and motivation in participating in these boring exercises. This may lead to an early termination of stroke rehabilitation, which can cause permanent disability in life. The application of virtual reality in stroke rehabilitation provides an immersive environment to increase the engagement of patients in rehabilitation exercises. In this study, a prototype named virtual lower limb stroke rehabilitation (VRLite) was developed and tested with post stroke patients on the accuracy of measurements and its usability and acceptance. The measurements of knee angles using Kinect and goniometer were compared using Bland-Altman plot to assess the system validity. The upper and lower LoA were 7.2° and −7.5° respectively. The result shows that 95% of LoA were within the upper and lower limit. The result shows that there is no significant difference between the measurements of knee angles using Kinect and goniometer. Hence, the developed program can be used interchangeably with the conventional rehabilitation.

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Acknowledgement

This work is financially supported by the eScience Fund awarded by the Ministry of Science, Technology and Innovation, Malaysia.

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Authors and Affiliations

  1. Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia

    Lee Wei Jian & Syadiah Nor Wan Shamsuddin

Authors
  1. Lee Wei Jian
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  2. Syadiah Nor Wan Shamsuddin
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Corresponding author

Correspondence to Syadiah Nor Wan Shamsuddin .

Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  2. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  3. National Central University, Taoyuan City, Taiwan

    Timothy K. Shih

  4. Carlos III University of Madrid, Madrid, Spain

    Sergio Velastin

  5. Toyo University, Tokyo, Japan

    Tada Terutoshi

  6. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Nazlena Mohamad Ali

  7. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Mohammad Nazir Ahmad

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© 2019 Springer Nature Switzerland AG

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Jian, L.W., Wan Shamsuddin, S.N. (2019). Virtual Lower Limb Stroke Rehabilitation to Assess Post Stroke Patients. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2019. Lecture Notes in Computer Science(), vol 11870. Springer, Cham. https://doi.org/10.1007/978-3-030-34032-2_31

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  • DOI: https://doi.org/10.1007/978-3-030-34032-2_31

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34031-5

  • Online ISBN: 978-3-030-34032-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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