ABSTRACT
Worldwide, more than one in three adults suffers from a cardiovascular disease. According to the World Health Organization, 15 million people experience a stroke each year and, of these, 5 million stay permanently disabled. The current limitations of traditional rehabilitation methods push towards the design of personalized tools that can be used intensively by patients and therapists in clinical or at-home environments. In this paper we present the design, implementation and validation of RehabCity, an online game designed for the rehabilitation of cognitive deficits through a gamified approach on activities of daily living (ADLs). Among other findings, our results show a strong correlation between the RehabCity scoring system and the Mini Mental State Examination test for clinical assessment of cognitive function in several domains. These findings suggest that RehabCity is a valid tool for the quantitative assessment of patients with cognitive deficits derived from a brain lesion.
- T. B. Cumming, R. S. Marshall, and R. M. Lazar, "Stroke, cognitive deficits, and rehabilitation: still an incomplete picture," Int. J. Stroke, vol. 8, No. 1, pp. 38--45, Jan. 2013.Google ScholarCross Ref
- C. Pritchard, A. Mayers, and D. Baldwin, "Changing patterns of neurological mortality in the 10 major developed countries-1979-2010," Public Health, vol. 127, No. 4, pp. 357--368, Apr. 2013.Google ScholarCross Ref
- "WHO | World Health Organization," WHO. {Online}. Available: http://www.who.int/en/. {Accessed: 16-May-2014}.Google Scholar
- L. Legg, A. Drummond, J. Leonardi-Bee, J. R. F. Gladman, S. Corr, M. Donkervoort, J. Edmans, L. Gilbertson, L. Jongbloed, P. Logan, C. Sackley, M. Walker, and P. Langhorne, "Occupational therapy for patients with problems in personal activities of daily living after stroke: systematic review of randomised trials," BMJ, vol. 335, No. 7626, p. 922, Nov. 2007.Google ScholarCross Ref
- P. Langhorne, J. Bernhardt, and G. Kwakkel, "Stroke rehabilitation," The Lancet, vol. 377, No. 9778, pp. 1693--1702, May 2011.Google ScholarCross Ref
- H. H. Nap and U. Diaz-Orueta, "Rehabilitation gaming," Arnab Dunwell Debattista K Serious Games Healthc. Appl. Implic. Hershey PA IGI Glob., pp. 50--75, 2012.Google Scholar
- K. Laver, S. George, S. Thomas, J. E. Deutsch, and M. Crotty, "Cochrane review: virtual reality for stroke rehabilitation," Eur. J. Phys. Rehabil. Med., vol. 48, No. 3, pp. 523--530, Sep. 2012.Google Scholar
- P. Rego, P. M. Moreira, and L. P. Reis, "Serious games for rehabilitation: A survey and a classification towards a taxonomy," in 2010 5th Iberian Conference on Information Systems and Technologies (CISTI), 2010, pp. 1--6.Google Scholar
- C. Dede, "Immersive Interfaces for Engagement and Learning," Science, vol. 323, No. 5910, pp. 66--69, Jan. 2009.Google ScholarCross Ref
- G. Schuhfried, "RehaCom," G Schuhfried GmbH Mödling, 1996.Google Scholar
- R. Guberek, S. Schneiberg, P. McKinley, F. Cosentino, M. F. Levin, and H. Sveistrup, "Virtual reality as adjunctive therapy for upper limb rehabilitation in cerebral palsy," in Virtual Rehabilitation International Conference, 2009, 2009, pp. 219--219.Google ScholarCross Ref
- S. Bermudez i Badia and M. S. Cameirao, "The Neurorehabilitation Training Toolkit (NTT): A Novel Worldwide Accessible Motor Training Approach for At-Home Rehabilitation after Stroke," Stroke Res. Treat., vol. 2012, Apr. 2012.Google Scholar
- A. D. Bruckheimer, M. da Silva Hounsell, and A. Vinicius Soares, "Dance2Rehab3D: A 3D Virtual Rehabilitation Game," in 2012 14th Symposium on Virtual and Augmented Reality (SVR), 2012, pp. 182--190. Google ScholarDigital Library
- R. Kizony, P. L. T. Weiss, M. Shahar, and D. Rand, "TheraGame: A home based virtual reality rehabilitation system," Int. J. Disabil. Hum. Dev., vol. 5, No. 3, pp. 265--270, 2006.Google ScholarCross Ref
- M. M. Sohlberg and C. A. Mateer, Cognitive Rehabilitation: An Integrative Neuropsychological Approach. Guilford Press, 2001.Google Scholar
- N. Josman, R. Kizony, E. Hof, K. Goldenberg, P. L. Weiss, and E. Klinger, "Using the Virtual Action Planning-Supermarket for Evaluating Executive Functions in People with Stroke," J. Stroke Cerebrovasc. Dis.Google Scholar
- M.-D. Navarro, R. Lloréns, E. Noé, J. Ferri, and M. Alcañiz, "Validation of a low-cost virtual reality system for training street-crossing. A comparative study in healthy, neglected and non-neglected stroke individuals," Neuropsychol. Rehabil., vol. 23, No. 4, pp. 597--618, 2013.Google ScholarCross Ref
- P. Gamito, J. Oliveira, N. Santos, J. Pacheco, D. Morais, T. Saraiva, F. Soares, C. SottoMayor, and A. F. Barata, "Virtual exercises to promote cognitive recovery in stroke patients: the comparison between head mounted displays versus screen exposure methods," 2012.Google Scholar
- E. Klinger, A. Kadri, E. Sorita, J.-L. Le Guiet, P. Coignard, P. Fuchs, L. Leroy, N. du Lac, F. Servant, and P.-A. Joseph, "AGATHE: A tool for personalized rehabilitation of cognitive functions based on simulated activities of daily living," IRBM, No. 34, pp. 113--118, 2013.Google Scholar
- S. de Freitas and S. Jarvis, "A framework for developing serious games to meet learner needs," in The Interservice/Industry Training, Simulation & Education Conference (I/ITSEC), 2006, vol. 2006.Google Scholar
- R. C. K. Chan, D. Shum, T. Toulopoulou, and E. Y. H. Chen, "Assessment of executive functions: Review of instruments and identification of critical issues," Arch. Clin. Neuropsychol., vol. 23, No. 2, pp. 201--216, Mar. 2008.Google ScholarCross Ref
- A. Vourvopoulos, A. L. Faria, M. S. Cameirao, and S. Bermudez i Badia, "RehabNet: A distributed architecture for motor and cognitive neuro-rehabilitation," in 2013 IEEE 15th International Conference on e-Health Networking, Applications Services (Healthcom), 2013, pp. 454--459.Google Scholar
- M. F. Folstein, S. E. Folstein, and P. R. McHugh, "'Mini-mental state'. A practical method for grading the cognitive state of patients for the clinician," J. Psychiatr. Res., vol. 12, No. 3, pp. 189--198, Nov. 1975.Google ScholarCross Ref
- P. W. Duncan, R. K. Bode, S. Min Lai, and S. Perera, "Rasch analysis of a new stroke-specific outcome scale: the stroke impact scale," Arch. Phys. Med. Rehabil., vol. 84, No. 7, pp. 950--963, Jul. 2003.Google ScholarCross Ref
- J. Brooke, "SUS-A quick and dirty usability scale," Usability Eval. Ind., vol. 189, p. 194, 1996.Google Scholar
- R. M. Parikh, J. R. Lipsey, R. G. Robinson, and T. R. Price, "Two-year longitudinal study of post-stroke mood disorders: dynamic changes in correlates of depression at one and two years.," Stroke, vol. 18, No. 3, pp. 579--584, May 1987.Google ScholarCross Ref
- M.-L. Kauhanen, J. T. Korpelainen, P. Hiltunen, E. Brusin, H. Mononen, R. Määttä, P. Nieminen, K. A. Sotaniemi, and V. V. Myllylä, "Poststroke Depression Correlates With Cognitive Impairment and Neurological Deficits," Stroke, vol. 30, No. 9, pp. 1875--1880, Sep. 1999.Google ScholarCross Ref
- H. O. F. Veiel, "A preliminary profile of neuropsychological deficits associated with major depression," J. Clin. Exp. Neuropsychol., vol. 19, No. 4, pp. 587--603, 1997.Google ScholarCross Ref
Index Terms
- RehabCity: design and validation of a cognitive assessment and rehabilitation tool through gamified simulations of activities of daily living
Recommendations
Game Design Principles Influencing Stroke Survivor Engagement for VR-Based Upper Limb Rehabilitation: A User Experience Case Study
OzCHI '19: Proceedings of the 31st Australian Conference on Human-Computer-InteractionEngagement with one's rehabilitation is crucial for stroke survivors. Serious games utilising desktop Virtual Reality could be used in rehabilitation to increase stroke survivors' engagement. This paper discusses the results of a user experience case ...
Physical activity motivating games: you can play, mate!
OZCHI '09: Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group: Design: Open 24/7Contemporary lifestyle is becoming increasingly more sedentary: a little physical activity and much sedentary activity. The nature of sedentary activity is self-reinforcing, such that increasing physical and decreasing sedentary activity is difficult. ...
Muscle Extension Model for FES-Assisted Knee Swinging Ergometer for Stroke Patient
CICSYN '13: Proceedings of the 2013 Fifth International Conference on Computational Intelligence, Communication Systems and NetworksThis work is focused on the development of physiological and mathematical model of muscle extension induced by FES-assisted knee swinging ergometer. A muscle model composed of muscle activation, muscle contraction and body segmental dynamics is ...
Comments