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Computational Intelligence and Neuroscience
Volume 2018, Article ID 7148427, 17 pages
https://doi.org/10.1155/2018/7148427
Research Article

Effectiveness of Serious Games for Leap Motion on the Functionality of the Upper Limb in Parkinson’s Disease: A Feasibility Study

1Robotics Lab, University Carlos III of Madrid, Avda. de la Universidad 30, 28911 Leganés, Spain
2Faculty of Health Sciences, King Juan Carlos University, Avda. de Atenas s/n, Alcorcón, Spain

Correspondence should be addressed to Edwin Daniel Oña; se.m3cu.gni@anoe

Received 15 September 2017; Accepted 24 January 2018; Published 11 April 2018

Academic Editor: Manuela Chessa

Copyright © 2018 Edwin Daniel Oña et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. E. Peñas Domingo, M. Gálvez-Sierra, M. María-Valero, M. Marín-Valero, and et al., El libro blanco de Parkinson: aproximación, análisis y propuesta de futuro, Ministerio de Sanidad, Servicios Sociales e Igualdad, 2015.
  2. M. Trail, Neurorehabilitation in Parkinson’s disease: an evidence-based treatment model, Slack Incorporated, 2008.
  3. Y. Alamri, M. MacAskill, T. Anderson, and H. Benamer, “Parkinson's Disease in the Gulf Countries: An Updated Review,” European Neurology, pp. 222–225, 2015. View at Publisher · View at Google Scholar · View at Scopus
  4. M. Lew, “Overview of parkinsons disease,” The Journal of Human Pharmacology and Drug Therapy, vol. 27, 2007. View at Google Scholar
  5. A. L. Bartels and K. L. Leenders, “Parkinson's disease: the syndrome, the pathogenesis and pathophysiology,” Cortex , vol. 45, no. 8, pp. 915–921, 2009. View at Publisher · View at Google Scholar
  6. M. C. de Rijk, L. J. Launer, K. Berger et al., “Prevalence of Parkinson's disease in Europe: a collaborative study of population-based cohorts,” Neurology, vol. 54, no. 11, supplement 5, pp. S21–S23, 2000. View at Google Scholar · View at Scopus
  7. R. García-Ramos, E. López Valdés, L. Ballesteros, S. Jesús, and P. Mir, “The social impact of Parkinson's disease in Spain: Report by the Spanish Foundation for the Brain,” Neurología (English Edition), vol. 31, no. 6, pp. 401–413, 2016. View at Publisher · View at Google Scholar
  8. E. Federico Micheli, “Enfermedad de Parkinson y trastornos relacionados,” Editorial Médica Panamericana, 2006. View at Google Scholar
  9. R. Cano de la Cuerda, A. Macías Jiménez, V. Crespo Sánchez, and M. Morales Cabezas, “Escalas de valoración y tratamiento fisioterápico en la enfermedad de Parkinson,” Fisioterapia, vol. 26, no. 4, pp. 201–210, 2004. View at Publisher · View at Google Scholar
  10. J. E. Pompeu, F. A. D. S. Mendes, K. G. D. Silva et al., “Effect of Nintendo Wii-based motor and cognitive training on activities of daily living in patients with Parkinson's disease: a randomised clinical trial,” Physiotherapy, vol. 98, no. 3, pp. 196–204, 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. R. Cano-de la Cuerda and S. Collado-Vázquez, “Neurorrehabilitación: Métodos especficos de valoración y tratamiento,” Editorial Médica Panamericana, 2012. View at Google Scholar
  12. J. Kulisevsky, M. Luquin, J. Arbelo et al., “Advanced Parkinson's disease: Clinical characteristics and treatment. Part II,” Neurología (English Edition), vol. 28, no. 9, pp. 558–583, 2013. View at Publisher · View at Google Scholar
  13. C. Redecker, A. Bilsing, I. Csoti et al., “Physiotherapy in Parkinson's disease patients: recommendations for clinical practice,” Basal Ganglia, vol. 4, no. 1, pp. 35–38, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. C. L. Tomlinson, S. Patel, C. Meek et al., “Physiotherapy versus placebo or no intervention in Parkinson's disease,” Cochrane Database of Systematic Reviews, vol. 8, Article ID CD002817, 2012. View at Google Scholar · View at Scopus
  15. C. L. Tomlinson, S. Patel, and C. Meek, “Physiotherapy intervention in Parkinson's disease: systematic review and meta-analysis,” British Medical Journal, vol. 345, Article ID e5004, 2012. View at Publisher · View at Google Scholar
  16. V. Lun, N. Pullan, N. Labelle, C. Adams, and O. Suchowersky, “Comparison of the effects of a self-supervised home exercise program with a physiotherapist-supervised exercise program on the motor symptoms of Parkinson's disease,” Movement Disorders, vol. 20, no. 8, pp. 971–975, 2005. View at Publisher · View at Google Scholar · View at Scopus
  17. W.-C. Yang, H.-K. Wang, R.-M. Wu, C.-S. Lo, and K.-H. Lin, “Home-based virtual reality balance training and conventional balance training in Parkinson's disease: A randomized controlled trial,” Journal of the Formosan Medical Association, vol. 115, no. 9, pp. 734–743, 2016. View at Publisher · View at Google Scholar · View at Scopus
  18. K. E. Laver, S. George, S. Thomas, J. E. Deutsch, and M. Crotty, “Virtual reality for stroke rehabilitation,” Cochrane Database of Systematic Reviews, vol. 2, p. CD008349, 2015. View at Publisher · View at Google Scholar · View at Scopus
  19. K. E. Laver, S. George, S. Thomas, J. E. Deutsch, and M. Crotty, “Realidad virtual para la rehabilitación del accidente cerebrovascular [revisión cochrane traducida],” Cochrane Database of Systematic reviews, vol. 9, 2011. View at Google Scholar
  20. A. Petracca, M. Carrieri, D. Avola et al., “A virtual ball task driven by forearm movements for neuro-rehabilitation,” in Proceedings of the 11th Annual International Conference on Virtual Rehabilitation, ICVR 2015, pp. 162-163, Spain, June 2015. View at Publisher · View at Google Scholar · View at Scopus
  21. A. Elnaggar and D. Reichardt, “Digitizing the hand rehabilitation using serious games methodology with user-centered design approach,” in Proceedings of the 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016, pp. 13–22, USA, December 2016. View at Publisher · View at Google Scholar · View at Scopus
  22. M. Khademi, L. Dodakian, H. M. Hondori, C. V. Lopes, A. McKenzie, and S. C. Cramer, “Free-hand interaction with leap motion controller for stroke rehabilitation,” in Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems (CHI EA '14), pp. 1663–1668, ACM, New York, NY, USA, May 2014. View at Publisher · View at Google Scholar · View at Scopus
  23. J. Pirker, M. Pojer, A. Holzinger, and C. Gütl, “Gesture-based interactions in video games with the leap motion controller,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface, vol. 10271, pp. 620–633, 2017. View at Publisher · View at Google Scholar · View at Scopus
  24. Z. Liu, Y. Zhang, P.-L. P. Rau, P. Choe, and T. Gulrez, “Leap-motion based online interactive system for hand rehabilitation,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface, vol. 9181, pp. 338–347, 2015. View at Publisher · View at Google Scholar · View at Scopus
  25. S. N. Gieser, A. Boisselle, and F. Makedon, “Real-Time static gesture recognition for upper extremity rehabilitation using the leap motion,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface, vol. 9185, pp. 144–154, 2015. View at Publisher · View at Google Scholar · View at Scopus
  26. J. M. De Oliveira, R. C. G. Fernandes, C. S. Pinto, P. R. Pinheiro, S. Ribeiro, and V. H. C. De Albuquerque, “Novel virtual environment for alternative treatment of children with cerebral palsy,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 8984379, 2016. View at Publisher · View at Google Scholar · View at Scopus
  27. N. Yu, C. Xu, H. Li, K. Wang, L. Wang, and J. Liu, “Fusion of haptic and gesture sensors for rehabilitation of bimanual coordination and dexterous manipulation,” Sensors, vol. 16, no. 3, article no. 395, 2016. View at Publisher · View at Google Scholar · View at Scopus
  28. V. H. Andaluz, C. Patricio, N. José, A. José, and L. Shirley, “Virtual environments for motor fine skills rehabilitation with force feedback,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface, vol. 10324, pp. 94–105, 2017. View at Publisher · View at Google Scholar · View at Scopus
  29. K. Nagamune, Y. Uozumi, and Y. Sakai, “Automation of the simple test for evaluating hand function using leap motion controller,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface, vol. 9738, pp. 312–319, 2016. View at Publisher · View at Google Scholar · View at Scopus
  30. Y. Sano, A. Kandori, K. Shima et al., “Quantifying Parkinson’s disease finger-tapping severity by extracting and synthesizing finger motion properties,” Medical & Biological Engineering & Computing, vol. 54, no. 6, pp. 953–965, 2016. View at Publisher · View at Google Scholar · View at Scopus
  31. J. Güttler, R. Shah, C. Georgoulas, and T. Bock, “Unobtrusive tremor detection and measurement via human-machine interaction,” in Proceedings of the 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2015, pp. 467–474, Germany, September 2015. View at Publisher · View at Google Scholar · View at Scopus
  32. H. Kaji and M. Sugano, “A noncontact tremor measurement system using leap motion,” in Proceedings of the 6th International Conference on Informatics, Environment, Energy and Applications, IEEA 2017, pp. 76–79, Republic of Korea, March 2017. View at Publisher · View at Google Scholar · View at Scopus
  33. P. L. Kubben, M. L. Kuijf, L. P. C. M. Ackermans, A. F. G. Leentjes, and Y. Temel, “TREMOR12: An Open-Source Mobile App for Tremor Quantification,” Stereotactic and Functional Neurosurgery, vol. 94, no. 3, pp. 182–186, 2016. View at Publisher · View at Google Scholar · View at Scopus
  34. A. H. Smeragliuolo, N. J. Hill, L. Disla, and D. Putrino, “Validation of the Leap Motion Controller using markered motion capture technology,” Journal of Biomechanics, vol. 49, no. 9, pp. 1742–1750, 2016. View at Publisher · View at Google Scholar · View at Scopus
  35. M. Iosa, G. Morone, A. Fusco et al., “Leap motion controlled videogame-based therapy for rehabilitation of elderly patients with subacute stroke: A feasibility pilot study,” Topics in Stroke Rehabilitation, vol. 22, no. 4, pp. 306–316, 2015. View at Publisher · View at Google Scholar · View at Scopus
  36. E. D. Oña, A. Jardón, and C. Balaguer, “The Automated Box and Blocks Test an Autonomous Assessment Method of Gross Manual Dexterity in Stroke Rehabilitation,” in Towards Autonomous Robotic Systems, vol. 10454 of Lecture Notes in Computer Science, pp. 101–114, Springer International Publishing, Cham, 2017. View at Publisher · View at Google Scholar
  37. A. M. Crizzle and I. J. Newhouse, “Is physical exercise beneficial for persons with Parkinson's disease?” Clinical Journal of Sport Medicine, vol. 16, no. 5, pp. 422–425, 2006. View at Publisher · View at Google Scholar · View at Scopus
  38. R. A. Virzi, “Refining the test phase of usability evaluation: how many subjects is enough?” Human Factors: The Journal of the Human Factors and Ergonomics Society, vol. 34, no. 4, pp. 457–468, 1992. View at Publisher · View at Google Scholar · View at Scopus
  39. C. W. Turner, J. R. Lewis, and J. Nielsen, “Determining usability test sample size,” in International encyclopedia of ergonomics and human factors, vol. 3, pp. 3084–3088, 2006.