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A Study on Implementation of Evaluation System of Ataxia Using a Touchscreen

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2105))

Abstract

Dysmetria is a state of decreased ability in controlling motor activity and capability to modulate motor speed and strength which could result in severe disabilities. This study devised a tool that enables researchers to scientifically assess, calculate, and analyze the patients’ motor modulating capability. In support, we utilized the Turtle algorithm, which extracts and locates a point on the horizontal and the vertical coordinates on a touchscreen. Based on this model, we proposed and materialized an algorithm that measures ataxia of the patients’ upper extremities by analyzing the course and the actual activity of the motor coordination.

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References

  1. R. Dejong, The Neurologic Examination, 4th ed., 1979, pp. 324–327, pp. 396-401.

    Google Scholar 

  2. Kyoung-Moo Lee, et al., “Quantative Evaluation of Dysmetria,” Journal of Korean Academy of Rehabilitation Medicine, Vol. 22,No. 2, 1998, pp. 351–360.

    Google Scholar 

  3. Hansen M, Christensen PB, Sindrup SH, Olsen NK, Kristensen O, Friis ML: Interobserver variation in the evaluation of neurological signs: patient-related factors. J Neurol 1994; 241(8):492–496

    Article  Google Scholar 

  4. Hansen M, Sindrup SH, Christensen PB, Olsen NK, Kristensen O, Friis ML: Interobserver variation in the evaluation of neurological signs: observer dependent factors. Acta Neurol Scand 1994; 90(8): 145–149

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  5. Jaewook Kim, Kyoung-Moo Lee, “Evaluation of dysmetria using a digitizer” Journal of Korean Academy of Rehabilitation Medicine, Vol. 19,No. 19, 1995, pp. 890–896.

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  6. E. Elble, et al., “Quantification of Tremor with a Digitizing Tablet,” Journal of Neurosci Methods, Vol. 32,No. 3, 1990, pp. 193–198.

    Article  Google Scholar 

  7. Jun Hwang, et al., “A study on motion analysis systems”, Technical Report, Seoul Women’s University, 1998.

    Google Scholar 

  8. I. Pitas, “Digital Image Processing Algorithms”, Prentice Hall Inc., New York, 1993

    Google Scholar 

  9. A. Jain, “Fundamentals of Digital Image Processing”, Prentice Hall International, Englewood Cliffs, 1989.

    MATH  Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Lee, W., Hwang, J., Lee, KM., Kim, I. (2001). A Study on Implementation of Evaluation System of Ataxia Using a Touchscreen. In: Kim, W., Ling, TW., Lee, YJ., Park, SS. (eds) The Human Society and the Internet Internet-Related Socio-Economic Issues. HSI 2001. Lecture Notes in Computer Science, vol 2105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47749-7_33

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  • DOI: https://doi.org/10.1007/3-540-47749-7_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42313-3

  • Online ISBN: 978-3-540-47749-5

  • eBook Packages: Springer Book Archive

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