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Original Research

Rehabilitation of activities of daily living in virtual environments with intuitive user interface and force feedback

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Pages 672-680 | Received 31 Mar 2016, Accepted 26 Jul 2016, Published online: 26 Oct 2016

References

  • Birth Defects [Internet]. Centers for Disease Control and Prevention. [updated 2014 July 21; cited 2015 July 21]. Available from: http://www.cdc.gov/ncbddd/birthdefects/ul-limbreductiondefects.html
  • Persons with disabilities and chronic diseases [Internet]. Census and Statistics Department Hong Kong. 2008 July 22. In Special Topics Report No. 48. [cited 2015 July 22]. Available from: http://www.statistics.gov.hk/pub/B11301482008XXXXB0100.pdf
  • French B, Leathley M, Sutton C, et al. A systematic review of repetitive functional task practice with modeling of resource use, costs and effectiveness. Health Technol Assess 2008;12:iii, ix–x, 1–117.
  • Ahl LE, Johansson E, Granat T, et al. Functional therapy for children with cerebral palsy: an ecological approach. Dev Med Child Neurol 2005;47:613–619.
  • Blundell SW, Shepherd RB, Dean CM, et al. Functional strength training in cerebral palsy: a pilot study of a group circuit training class for children aged 4-8 years. Clin Rehabil 2003;17:48–57.
  • Rizzo AS, Kim GJ. A SWOT analysis of the field of virtual reality rehabilitation and therapy. Presence 2005;14:119–146.
  • Broeren J, Dixon M, Sunnerhagen KS, et al. Rehabilitation after stroke using virtual reality, haptics (force feedback) and telemedicine. Stud Health Technol Inform 2006;124:51–56.
  • Henderson A, Korner-Bitensky N, Levin M. Virtual reality in stroke rehabilitation: a systematic review of its effectiveness for upper limb motor recovery. Top Stroke Rehabil 2007;14:52–61.
  • Sampson M, Shau YW, King MJ. Bilateral upper limb trainer with virtual reality for post-stroke rehabilitation: case series report. Disabil Rehabil Assist Technol 2012;7:55–62.
  • Mumford N, Duckworth J, Thomas PR, et al. Upper-limb virtual rehabilitation for traumatic brain injury: a preliminary within-group evaluation of the elements system. Brain Inj 2012;26:166–176.
  • Levin MF, Weiss PL, Keshner EA. Emergence of virtual reality as a tool for upper limb rehabilitation: incorporation of motor control and motor learning principles. Phys Ther 2015;95:415–425.
  • Takahashi Y, Ito Y, Inoue K, et al. Haptic device system for upper limb and cognitive rehabilitation — application for development disorder children. In: El Saddik A, editor. Haptics rendering and applications. InTech; 2012. doi: 10.5772/25450.
  • Bardorfer A, Munih M, Zupan A, et al. Upper limb motion analysis using haptic interface. IEEE/ASME Trans Mechatronics 2001;6:253–260.
  • Crosbie JH, Lennon S, McNeill MD, et al. Virtual reality in the rehabilitation of the upper limb after stroke: the user's perspective. Cyberpsychol Behav 2006;9:137–141.
  • Cobb SVG, Neale HR, Reynolds H. Evaluation of Virtual Learning Environments. The 2nd Euro. Conf. Disability, Virtual Reality & Assoc. Tech (ECDVRAT); Skövde, Sweden: The University of Reading; 1998.
  • Lee J, Ku J, Cho W, et al. A virtual reality system for the assessment and rehabilitation of the activities of daily living. Cyberpsychol Behav 2003;6:383–388.
  • Zhang L, Abreu BC, Seale GS, et al. A virtual reality environment for evaluation of a daily living skill in brain injury rehabilitation: reliability and validity. Arch Phys Med Rehabil 2003;84:1118–1124.
  • Van der Linde RQ, Lammertse P, Frederiksen E, et al. The HapticMaster, a new high-performance haptic interface. In: Proceedings of the Eurohaptics Conference, 8–10 July 2002, Edinburgh, UK. p. 1–5.
  • Johnson MJ, Wisneski KJ, Anderson J, et al. Development of ADLER: The Activities of Daily Living Exercise Robot. The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006; 2006 Feb 20–22; Pisa, Italy.
  • Guidali M, Duschau-Wicke A, Broggi S, et al. A robotic system to train activities of daily living in a virtual environment. Medical Biol Eng Comput 2011;49:1213–1223.
  • Nef T, Guidali M, Klamroth-Marganska V, et al. ARMin — Exoskeleton robot for stroke rehabilitation. In: Dössel O, Schlegel WC, editors. World Congress on Medical Physics and Biomedical Engineering, September 7–12, 2009, Munich, Germany: Vol. 25/9 Neuroengineering, Neural systems, rehabilitation and prosthetics. Berlin, Heidelberg: Springer Berlin Heidelberg; 2009. p. 127–130.
  • Eliasson AC, Krumlinde-Sundholm L, Rosblad B, et al. The Manual Ability Classification System (MACS) for children with cerebral palsy: scale development and evidence of validity and reliability. Dev Med Child Neurol 2006;48:549–554.
  • Borg G. Borg's perceived exertion and pain scale. Champaign, IL: Human Kinetics; 1998.
  • Lewis JR. IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use. Int J Human-Computer Interact. 1995;7:57–78.
  • Nordin N, Xie SQ, Wünsche B. Assessment of movement quality in robot- assisted upper limb rehabilitation after stroke: a review. J NeuroEng Rehabil 2014;11:1–23.

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