Development of a Quantitative Assessment System for Upper Limb Motor Disorder in Occupational Therapy

  • Authors

    • Mohd Nor Azmi Ab Patar
    • Hokyoo Lee
    • Jamaluddin Mahmud
    • Azim Patar
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.26.22175
  • Stroke, Hemiplegia, Upper Limb Rehabilitation, Upper Limb Motion, Measurement System, Occupational Therapy

  • Many stroke patients nowadays prefer home rehabilitation, which limits their access to proper rehabilitation equipment, treatment, or assessment by therapists. Currently, the rehabilitation programs neglect to maintain a patient’s motivation in doing rehabilitation exercises. The programs also lack a monitoring system to evaluate the patients’ performance quantitatively although this is the most crucial element in rehabilitation. In order to solve these problems, we have developed a novel measurement system for upper limb motor disorder rehabilitation using an optical sensor. This system consists of an optical sensor device, a personal computer and a computerized calculated program for upper limb locus position. The optical sensor detects the user’s motions and calculates position and velocity. The sanding block position, velocity and the motion length of the block during the sanding task of five subjects with motor function disorder were measured. The accuracy of the trajectories was similar in all the actual measured subjects. These outcomes have a potential for the development of rehabilitation training programs and evaluation methods.

     

     

  • References

    1. [1] E. Topinková, “Aging, disability and frailty,†Annals of Nutrition and Metabolism. 2008.

      [2] M. Van den Akker, F. Buntix, J. F. M. Metsemakers, S. Roos, and J. A. Knottnerus, “Multimorbidity in general practice: Prevalence, incidence, and determinants of co-occurring chronic and recurrent diseases,†Journal of Clinical Epidemiology, 1998.

      [3] K. Barnett et al., “Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study.,†Lancet (London, England), 2012.

      [4] J. L. Wolff, B. Starfield, and G. Anderson, “Prevalence, expenditures, and complications of multiple chronic conditions in the elderly,†Archives of Internal Medicine, 2002.

      [5] National Instiute of Neurological Disorders and Stroke, “Classification of cerebrovascular diseases III.,†1990.

      [6] M. M. Sohlberg and C. A. Mateer, “Effectiveness of an attention-training program,†Journal of Clinical and Experimental Neuropsychology, 1987.

      [7] J. A. Edmans, J. Webster, and N. B. Lincoln, “A comparison of two approaches in the treatment of perceptual problems after stroke,†Clinical Rehabilitation, 2000.

      [8] L. T. Carter, B. E. Howard, and W. A. O’Neil, “Effectiveness of cognitive skill remediation in acute stroke patients.,†The American journal of occupational therapy : official publication of the American Occupational Therapy Association, 1983.

      [9] C. T. Debert, T. M. Herter, S. H. Scott, and S. Dukelow, “Robotic assessment of sensorimotor deficits after traumatic brain injury,†Journal of Neurologic Physical Therapy, 2012.

      [10] C. Counsell, M. Dennis, and M. McDowall, “Predicting functional outcome in acute stroke: Comparison of a simple six variable model with other predictive systems and informal clinical prediction,†Journal of Neurology, Neurosurgery and Psychiatry, 2004.

      [11] H. Igo Krebs, N. Hogan, M. L. Aisen, and B. T. Volpe, “Robot-aided neurorehabilitation,†IEEE Transactions on Rehabilitation Engineering, 1998.

      [12] K. Koyanagi, F. Furusho, U. Ryu, and A. Inoue, “Rehabilitation system with 3-D exercise machine for upper limb,†in IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, 2003.

      [13] Y. Morita, R. Tanioku, M. Uchida, H. Ukai, and N. Matsui, “Study on quantitative evaluation methods of therapeutic effects of sanding training,†2008 International Conference on Control, Automation and Systems, pp. 913–918, 2008.

      [14] M. OOGIRI, H. YUMINAGA, N. KIDA, and H. HAMADA, “Impression Evaluation and Movement Evaluation in Gait Observation of Rehabilitation Patient,†Transactions of Japan Society of Kansei Engineering, vol. 16, no. 1, pp. 181–187, 2017.

      [15] H. YOSHIYUKI et al., “Assessment of Independent Walking by Stroke Patients: Effects of an Assessment Sheet Used in Convalescence Rehabilitation Ward,†Rigakuryoho Kagaku, pp. 635–639, 2016.

      [16] H. K. Lee, Y. T. Kim, Y. Takahashi, T. Miyoshi, K. Suzuki, and T. Komeda, “Basic experiment on rehabilitation of upper-limb motor function using haptic-device system,†Transactions of the Korean Society of Mechanical Engineers, A, 2011.

      [17] H. LEE et al., “2P2-B10 Development of measuring equipment for upper limb motor function rehabilitation using optical sensor(Rehabilitation Robotics and Mechatronics),†The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), vol. 2011, p. _2P2-B10_1-_2P2-B10_4, 2011.

      [18] T. Lee et al., “Basic experiments of upper limb rehabilitation using haptic device system,†9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005., pp. 444–447, 2005.

      [19] M. N. A. A. Patar, T. Komeda, L. C. Yee, and J. Mahmud, “Model-based systems engineering of a hand rehabilitation device,†Jurnal Teknologi, vol. 76, no. 4, pp. 101–106, 2015.

      [20] M. N. A. B. A. Patar, T. Komeda, J. Mahmud, and C. Y. Low, “Model Based Design of Finger Exoskeleton for Post Stroke Rehabilitation Using a Slotted Link Cam with Lead Screw Mechanism,†in Industrial Engineering, Management Science and Applications 2015, Berlin, Heidelberg: Springer Berlin Heidelberg, 2015, pp. 95–103.

      [21] T. Miyoshi, Y. Takahashi, H. Lee, and T. Terada, Haptic Device System For Upper Limb Motor Impairment Patients : Developing And Handling In Healthy Subjects, no. August. 2007.

      [22] T. Miyoshi, Y. Takahashi, H. Lee, T. Suzuki, and T. Komeda, “Upper limb neurorehabilitation in patients with stroke using haptic device system: Reciprocal bi-articular muscle activities reflect as a result of improved circle-drawing smoothness,†Disability and Rehabilitation: Assistive Technology, vol. 5, no. 5, pp. 370–375, 2010.

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    Nor Azmi Ab Patar, M., Lee, H., Mahmud, J., & Patar, A. (2018). Development of a Quantitative Assessment System for Upper Limb Motor Disorder in Occupational Therapy. International Journal of Engineering & Technology, 7(4.26), 240-244. https://doi.org/10.14419/ijet.v7i4.26.22175