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Rehabilitation Process for Parkinson Disease Patient using Exergames

by Muhammad Fairuz Abd Rauf, Mohd Fahmi Mohamad Amran, Suziyanti Marjudi, Nur Amlya Abd Majid
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 11
Year of Publication: 2016
Authors: Muhammad Fairuz Abd Rauf, Mohd Fahmi Mohamad Amran, Suziyanti Marjudi, Nur Amlya Abd Majid
10.5120/ijca2016909841

Muhammad Fairuz Abd Rauf, Mohd Fahmi Mohamad Amran, Suziyanti Marjudi, Nur Amlya Abd Majid . Rehabilitation Process for Parkinson Disease Patient using Exergames. International Journal of Computer Applications. 141, 11 ( May 2016), 1-5. DOI=10.5120/ijca2016909841

@article{ 10.5120/ijca2016909841,
author = { Muhammad Fairuz Abd Rauf, Mohd Fahmi Mohamad Amran, Suziyanti Marjudi, Nur Amlya Abd Majid },
title = { Rehabilitation Process for Parkinson Disease Patient using Exergames },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 141 },
number = { 11 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume141/number11/24825-2016909841/ },
doi = { 10.5120/ijca2016909841 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:43:13.405268+05:30
%A Muhammad Fairuz Abd Rauf
%A Mohd Fahmi Mohamad Amran
%A Suziyanti Marjudi
%A Nur Amlya Abd Majid
%T Rehabilitation Process for Parkinson Disease Patient using Exergames
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 11
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The increasing rate of PD patient requires more creative approach to assist in the rehabilitation process. Support group such as Malaysian Parkinson Disease Association or MPDA normally carry out activities such as dancing and Tai Chi have limited space to cater to all PD patient at once. Rehabilitation process involves cost including cost for transportation and registration fees for patient to go to rehab center. On the other hand, rehabilitation processes are boring and that makes the patient unable to carry out the rehabilitation process consistently. Although exergames have been in the market for three decades now, it still lacks on focus on users with special needs. Most exergames are developed for healthy people. There are a few exergames developed for PD patient but the tools involved for them to play or indirectly rehab them is not suitable since it requires them to hold an item. PD patient have tremors and this will make it difficult for them to enjoy the game. It is crucial for developer to design games with the objectives for particular rehabilitation needs and capabilities as well as the target population. Certain exergames developed for PD patient are too challenging and this fails to motivate PD patient. Up to this point, limited research has been conducted for hand eye coordination. The purpose of this research is to identify and propose a framework that enables development of application for patient with Parkinson disease to carry out rehab based on their stages.

References
  1. Parkinson, “Essay on Shaking Palsy,” 1817.
  2. J. Jankovic, “Parkinson’s disease: clinical features and diagnosis.,” J. Neurol. Neurosurg. Psychiatry, vol. 79, no. 1957, pp. 368–376, 2008.
  3. C. G. Goetz, “Descriptions and Neurological Therapies,” Spring, 2011.
  4. J. C. Ricardo Graca, Rui Sarmento, “ParkDetect,” ParkDetect, no. 1, pp. 1–6, 2014.
  5. J. Massano and K. P. Bhatia, “Clinical approach to Parkinson’s disease: Features, diagnosis, and principles of management,” Cold Spring Harb. Perspect. Med., vol. 2, pp. 1–15, 2012.
  6. C. Jenkinson, R. A. Y. Fitzpatrick, V. I. V Peto, and R. Greenhall, “The Parkinson ’ s Disease Questionnaire ( PDQ-39 ): development and validation of a Parkinson ’ s disease summary index score,” pp. 353–357, 1997.
  7. T. T. Huang, H. Y. Hsu, B. H. Wang, and K. H. Chen, “Quality of life in Parkinson’s disease patients: validation of the Short-Form Eight-item Parkinson's Disease Questionnaire (PDQ-8) in Taiwan.,” Qual. Life Res., vol. 20, no. 4, pp. 499–505, May 2011.
  8. E. Eckstrom, R. Stock, J. Galver, G. Maddalozzo, D. Ph, and S. S. Batya, “Tai Chi and Postural Stability in Patients with Parkinson’s Disease,” pp. 511–519, 2013.
  9. D. Mccammon, “Medical Food to Stop the Progression of Parkinson ’ s Disease,” no. May, pp. 10–13, 2014.
  10. G. Barry, B. Galna, and L. Rochester, “The role of exergaming in Parkinson’s disease rehabilitation: a systematic review of the evidence.,” J. Neuroeng. Rehabil., vol. 11, no. 1, p. 33, 2014.
  11. S. D. Atkinson and V. L. Narasimhan, “Design of an introductory medical gaming environment for diagnosis and management of Parkinson’s disease,” Proc. 2nd Int. Conf. Trendz Inf. Sci. Comput. TISC-2010, pp. 94–102, 2010.
  12. T. Dutta, “Evaluation of the KinectTM sensor for 3-D kinematic measurement in the workplace.,” Appl. Ergon., vol. 43, no. 4, pp. 645–9, Jul. 2012.
  13. P. Rego, P. M. Moreira, and L. P. Reis, “Serious games for rehabilitation: A survey and a classification towards a taxonomy,” Inf. Syst. Technol. (CISTI), 2010 5th Iber. Conf., 2010.
  14. B. Galna, G. Barry, D. Jackson, D. Mhiripiri, P. Olivier, and L. Rochester, “Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson’s disease.,” Gait Posture, vol. 39, no. 4, pp. 1062–8, Apr. 2014.
  15. I. Paraskevopoulos and E. Tsekleves, “Use of gaming sensors and customised exergames for parkinson’s disease rehabilitation: A proposed virtual reality framework,” 2013 5th Int. Conf. Games Virtual Worlds Serious Appl. VS-GAMES 2013, 2013.
  16. J.-D. Lee, C.-H. Hsieh, and T.-Y. Lin, “A Kinect-based Tai Chi exercises evaluation system for physical rehabilitation,” 2014 IEEE Int. Conf. Consum. Electron., pp. 177–178, 2014.
  17. P. Meleiro, R. Rodrigues, J. Jacob, and T. Marques, “Natural User Interfaces in the Motor Development of Disabled Children,” Procedia Technol., vol. 13, pp. 66–75, 2014.
  18. J. Cancela, M. T. Arredondo, and O. Hurtado, “A Kinect-based system for gait assessment and rehabilitation in Parkinson ’ s disease,” pp. 4519–4522, 2014.
  19. J. Synnott, S. Member, L. Chen, C. D. Nugent, and G. Moore, “WiiPD — Objective Home Assessment of Parkinson ’ s Disease Using the Nintendo Wii Remote,” Trans Inf Technol Biomed, vol. 16, no. 6, pp. 1304–1312, 2012.
  20. B. Galna, G. Barry, D. Jackson, D. Mhiripiri, P. Olivier, and L. Rochester, “Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson’s disease.,” Gait Posture, vol. 39, no. 4, pp. 1062–1068, Apr. 2014.
  21. B. Galna, D. Jackson, G. Schofield, R. McNaney, M. Webster, G. Barry, D. Mhiripiri, M. Balaam, P. Olivier, and L. Rochester, “Retraining function in people with Parkinson’s disease using the Microsoft kinect: game design and pilot testing.,” J. Neuroeng. Rehabil., vol. 11, no. 1, p. 60, 2014.
  22. S. Sooklal, P. Mohan, and S. Teelucksingh, “Using the Kinect for Detecting Tremors : Challenges and Opportunities,” pp. 768–771, 2014.
  23. M. Harms, “Advancing technology in rehabilitation,” Physiotherapy, vol. 98, no. 3, pp. 181–182, Sep. 2012.
  24. L. Lau, Incidence, Risk and Prognosis of Parkinson Disease. 2006.
  25. Lima, “Motor and Non-Motor Features of Parkinson’s Disease - A Review of Clinical and Experimental Studies,” CNS Neurol. Disord. - Drug Targets, vol. 11, no. 4, 2012.
  26. S. Gallegos, C. Pacheco, C. Peters, C. M. Opazo, and L. G. Aguayo, “Features of alpha-synuclein that could explain the progression and irreversibility of Parkinson’s disease,” Front. Neurosci., vol. 9, no. March, pp. 1–11, 2015.
  27. M. M. Hoehn and M. D. Yahr, “Parkinsonism : onset , progression , and mortality,” vol. 17, no. May, 1967.
  28. R. Bhidayasiri and D. Tarsy, “Movement Disorders: A Video Atlas,” pp. 4–6, 2012.
  29. R. Bhidayasiri and D. Tarsy, “Movement Disorders: A Video Atlas,” pp. 4–6, 2012.
  30. C. G. Goetz, W. Poewe, O. Rascol, C. Sampaio, G. T. Stebbins, C. Counsell, N. Giladi, R. G. Holloway, C. G. Moore, G. K. Wenning, M. D. Yahr, and L. Seidl, “Movement Disorder Society Task Force report on the Hoehn and Yahr staging scale: Status and recommendations,” Mov. Disord., vol. 19, no. 9, pp. 1020–1028, 2004.
  31. S. Wishart and G. J. a. Macphee, “Evaluation and management of the non-motor features of Parkinson’s disease,” Ther. Adv. Chronic Dis., vol. 2, no. 2, pp. 69–85, 2011.
  32. A. Todorova, P. Jenner, and K. Ray Chaudhuri, “Non-motor Parkinson’s: integral to motor Parkinson's, yet often neglected.,” Pract. Neurol., pp. 1–13, 2014.
  33. a H. V Schapira, “Present and future drug treatment for Parkinson’s disease.,” J. Neurol. Neurosurg. Psychiatry, vol. 76, no. 11, pp. 1472–1478, 2005.
  34. G. Nicholson, A. C. Pereira, and G. M. Hall, “Parkinson ’ s disease and anaesthesia,” vol. 89, no. 6, pp. 904–916, 2002.
  35. T. L. Ellis, “Dystonia and the Role of Deep Brain Stimulation,” ISRN Surg., vol. 2011, pp. 1–5, 2011.
  36. E. a C. Pereira and T. Z. Aziz, “Surgical insights into Parkinson’s disease.,” J. R. Soc. Med., vol. 99, no. 5, pp. 238–244, 2006.
  37. G. M. Earhart, L. E. Dibble, T. Ellis, A. Nieuwboer, and L. E. Dibble, “Rehabilitation and Parkinson ’ s Disease 2013,” vol. 2013, pp. 2013–2014, 2013.
  38. C. Foster, M. Hillsdon, M. Thorogood, and A. Kaur, “Europe PMC Funders Group Interventions for promoting physical activity,” no. 1, pp. 1–90, 2014.
  39. M. D. Finco, P. Alegre, and R. W. Maass, “The History of Exergames : Promotion of Exercise and Active Living through Body Interaction,” 2014 IEEE 3nd Int. Conf. Serious Games Appl. Heal., pp. 1–6, 2014.
  40. E. Brox and J. E. G. Hernandez, “Exergames for elderly: Social exergames to persuade seniors to increase physical activity,” 2011 5th Int. Conf. Pervasive Comput. Technol. Healthc. Work., pp. 546–549, 2011.
  41. J. Sinclair, P. Hingston, M. Masek, and K. Nosaka, “Testing an exergame for effectiveness and attractiveness,” 2nd Int. IEEE Consum. Electron. Soc. Games Innov. Conf. ICE-GIC 2010, pp. 1–8, 2010.
  42. M. Gotsis, “Games, virtual reality, and the pursuit of happiness,” IEEE Comput. Graph. Appl., vol. 29, pp. 14–19, 2009.
  43. J. Cancela, E. M. Moreno, M. T. Arredondo, and P. Bonato, “Designing auditory cues for Parkinson ’ s disease gait rehabilitation,” pp. 5852–5855, 2014.
  44. T. Y. Lin, C. H. Hsieh, and J. Der Lee, “A kinect-based system for physical rehabilitation: Utilizing Tai Chi exercises to improve movement disorders in patients with balance ability,” Proc. - Asia Model. Symp. 2013 7th Asia Int. Conf. Math. Model. Comput. Simulation, AMS 2013, pp. 149–153, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Kinect exergames Parkinson framework

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