Juego Serio para rehabilitación motora fina en niños

consideraciones de diseño y usabilidad

Autores/as

DOI:

https://doi.org/10.51252/rcsi.v2i2.405

Palabras clave:

miembros superiores, rehabilitación virtual, tracking óptico

Resumen

Los sistemas de rehabilitación basados en juegos serios se han desarrollado no solo para medir la precisión de los movimientos sino buscando motivar y lograr un mayor compromiso con los ejercicios realizados, más aún cuando los pacientes son niños. En este artículo presenta el desarrollo un juego serio para la rehabilitación motora de niños entre 7 y 13 años. Para ello se hizo uso del dispositivo Leap Motion teniendo en cuenta los atributos de sistemas de rehabilitación virtual para terapias: aprendizaje observacional, práctica, motivación y retroalimentación.  Para probar la usabilidad del sistema se hizo uso del cuestionario especializado para sistemas de rehabilitación virtual para terapia Suitability Evaluation Questionary (SEQ). Los resultados mostraron la aceptación del sistema no sólo a nivel de funcionalidad sino de no presentar incomodidades en cuanto a mareos, náuseas, molestia en los ojos entre otras.  El poder tener los resultados del SEQ ha permitido identificar mejoras en cuanto al diseño y consideraciones de usabilidad.

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Citas

Bachmann, D., Weichert, F., & Rinkenauer, G. (2018). Review of Three-Dimensional Human-Computer Interaction with Focus on the Leap Motion Controller. Sensors, 18(7), 2194. https://doi.org/10.3390/s18072194

Blake, H. L., & McLeod, S. (2018). The International Classification of Functioning, Disability and Health: Considering Individuals From a Perspective of Health and Wellness. Global Issues in Communication Sciences and Related. https://doi.org/10.1044/persp3.SIG17.69

Chen, K.-H., Lin, P.-C., Chen, Y.-J., Yang, B.-S., & Lin, C.-H. (2016). Development of method for quantifying essential tremor using a small optical device. Journal of Neuroscience Methods, 15, 78–83. https://doi.org/10.1016/j.jneumeth.2016.03.014

Cortés-Pérez, I., Zagalas-Anula, N., Montoro-Cárdenas, D., Lomas-Vega, R., Obrero-GaitánEsteban, & Osuna-Pérez, M. C. (2021). Leap Motion Controller Video Game-Based Therapy for Upper Extremity Motor Recovery in Patients with Central Nervous System Diseases. A Systematic Review with Meta-Analysis. Sensors, 21(6), 2065. https://doi.org/10.3390/s21062065

De Oliveira, J. M., Fernandes, C. G., Pinto, C. S., Pinheiro, P. R., Ribeiro, S., & C. de Albuquerque, V. H. (2016). Novel Virtual Environment for Alternative Treatment of Children with Cerebral Palsy. Computational Intelligence and Neuroscience, 2016, 1–10. https://doi.org/10.1155/2016/8984379

Filho, I. A. S. (2018). Gesture Recognition Using Leap Motion: A Machine Learning-based Controller Interface. In Computing Track (p. 5). Sciences of Electronics, Technologies of Information and Telecommunications (SETIT). https://www.researchgate.net/publication/333759237_Gesture_Recognition_Using_Leap_Motion_A_Machine_Learning-based_Controller_Interface

Friedman, N., Chan, V., Reinkensmeyer, Andrea N Beroukhim, A., Zambrano, Gregory J Bachman, M., & Reinkensmeyer, D. J. (2014). Retraining and assessing hand movement after stroke using the MusicGlove: comparison with conventional hand therapy and isometric grip training. Journal of NeuroEngineering and Rehabilitation, 11(76). https://doi.org/10.1186/1743-0003-11-76

Gil-Gómez, J.-A., & Manzano-Hernández, P. (2013). SEQ: Suitability Evaluation Questionnaire for Virtual Rehabilitation Systems. Application in a Virtual Rehabilitation System for Balance Rehabilitation. 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, May, 1–5. https://doi.org/10.4108/pervasivehealth.2013.252216

Iosa, M., Morone, G., Fusco, A., Castagnoli, Marcello Fusco, Francesca Romana Pratesi, L., & Paolucci, S. (2015). Leap motion controlled videogame-based therapy for rehabilitation of elderly patients with subacute stroke: a feasibility pilot study. Topics in Stroke Rehabilitation, 22(4), 306–316. https://doi.org/10.1179/1074935714Z.0000000036

Levac, D., Missiuna, C., Wishart, L., Dematteo, C., & Wright, V. (2011). Documenting the content of physical therapy for children with acquired brain injury: development and validation of the motor learning strategy rating instrument. The Journal of Physical Therapy Science, 91(5), 689–699. https://doi.org/10.2522/ptj.20100415

Michael, D. R., & Chen, S. L. (2005). Serious Games: Games That Educate, Train, and Inform. Muska & Lipman/Premier-Trade.

Miller, K. J., Adair, B. S., Pearce, A. J., Said, C. M., Ozanne, E., & Morris, M. M. (2014). Effectiveness and feasibility of virtual reality and gaming system use at home by older adults for enabling physical activity to improve health-related domains: a systematic review. Age and Ageing, 42(2), 188–195. https://doi.org/10.1093/ageing/aft194

Nguyen, T., Choromanski, L., Kreuzer, T., & Stroppini, J. (2022). Exploring the Feasibility of a Virtual, Home-Based MusicGlove Protocol for Children with Hemiparetic Cerebral Palsy. The Open Journal of Occupational Therapy, 10(1), 1–15. https://doi.org/10.15453/2168-6408.1836

Oh, Y., & Yang, S. (2010). Defining Exergames & Exergaming. Meaningful Play. https://www.researchgate.net/publication/230794344_Defining_exergames_exergaming

Postolache, G., Carry, F., Lourenço, F., Ferreira, D., Oliveira, R., Silva Girão, P., & Postolache, O. (2018). Serious Games Based on Kinect and Leap Motion Controller for Upper Limbs Physical Rehabilitation. In S. C. Mukhopadhyay, K. P. Jayasundera, & O. A. Postolache (Eds.), Modern Sensing Technologies (pp. 147–177). Springer. https://doi.org/10.1007/978-3-319-99540-3_8

Schmidt, R. A., & Lee, T. D. (2005). Motor Control and Learning: A Behavioral Emphasis (H. Kinetics (ed.); 4th ed.).

Senin, P. (2008). Dynamic Time Warping Algorithm Review. Information and Computer Science Department, 855(1–23), 40. https://seninp.github.io/assets/pubs/senin_dtw_litreview_2008.pdf

Thompson, D., Baranowski, T., Buday, R., Baranowski, J., Thompson, V., Jago, R., & Griffith, M. J. (2010). Serious Video Games for Health How Behavioral Science Guided the Development of a Serious Video Game. Simulation and Gaming, 41(4), 587–606. https://doi.org/10.1177/1046878108328087

Ultraleap. (2021). Leap Motion Controller. https://www.ultraleap.com/product/leap-motion-controller/

Vamsikrishna, K. M., Dogra, D. P., & Desarkar, M. S. (2016). Computer-Vision-Assisted Palm Rehabilitation With Supervised Learning. IEEE Transactions on Biomedical Engineering, 63(5), 991–1001. https://doi.org/10.1109/TBME.2015.2480881

Weichert, F., Bachmann, D., Rudak, B., & Fisseler, D. (2013). Analysis of the Accuracy and Robustness of the Leap Motion Controller. Sensors, 13(5), 6380–6393. https://doi.org/10.3390/s130506380

Wozniak, P., Vauderwange, O., Mandal, A., Javahiraly, N., & Curticapean, D. (2016). Possible applications of the LEAP motion controller for more interactive simulated experiments in augmented or virtual reality. In G. G. Gregory (Ed.), SPIE Optical Engineering Applications. https://doi.org/10.1117/12.2237673

Zondervan, D. K., Friedman, N., Chang, E., Zhao, X., Augsburger, R., Reinkensmeyer, D. J., & Cramer, S. C. (2016). Home-based hand rehabilitation after chronic stroke: Randomized, controlled single-blind trial comparing the MusicGlove with a conventional exercise program. Journal of Rehabilitation Research and Development, 53(4), 457–472. https://doi.org/10.1682/JRRD.2015.04.0057

RCSI

Publicado

2022-07-20

Cómo citar

Saavedra Parisaca, E., & Vidal Duarte, E. . (2022). Juego Serio para rehabilitación motora fina en niños: consideraciones de diseño y usabilidad. Revista Científica De Sistemas E Informática, 2(2), e405. https://doi.org/10.51252/rcsi.v2i2.405