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Estudos teóricos/ensaios

ANO XXIV – NÚMERO 34 – 2022

El uso de aplicaciones, software y videojuegos en las sesiones de musicoterapia: una revisión integrativa

DOI
https://doi.org/10.51914/brjmt.34.2022.402
Enviado
15 agosto 2022
Publicado
10-02-2025

Resumen

En este artículo se realizó una revisión integrativa de la literatura com un enfoque cualitativo para indagar qué aplicaciones, programas informáticos y videojuegos han sido investigado o utilizado por los musicoterapeutas en sus sesiones y caules son sus criterios de selección, creación y resultados obtenidos. Se realizó una búsqueda bibliográfica de los últimos 10 años em lãs siguientes bases de datos: MEDLINE, Scielo, Portal Capes y em lãs siguientes revistas: Brazilian Journal of Music Therapy, InCantare, Journal of Music Therapy, Nordic Journal of Music Therapy and Music Therapy Perspectives. Resultados: De los 701 artículos encontrados, solo 13 fueron considerados relevantes y cumplieron com los criterios de selección para esta revisión. La investigación tuvo encuenta, puntos como la motivación, el desafío, la variabilidad y lãs pruebas científicas, pero la mayoría de los trabajos todavia necesitan incluir em la construcción de los protótipos cuestiones como la participación activa del musicoterapeuta en todas las etapas de creación y uso de lãs herramientas. Además deben tener em cuenta no solo lãs patologías de los pacientes, sino también su individualidad. De los 13 artículos encontrados, solo una de lãs tecnologías está disponible para su compra.

Citas

  1. Afra, P., Bruggers, C. S., Sweney, M., Fagatele, L., Alavi, F., Greenwald, M., Huntsman, M., Nguyen, K., Jones, J. K.,Shantz, D., &Bulaj, G. (2018). Mobile software as a medical device (SaMD) for the treatment of epilepsy: Development of digital therapeutics comprising behavioral and music-based interventions for neurological disorders. Frontiers in Human Neuroscience, 12(171), 1-12.https://pubmed.ncbi.nlm.nih.gov/29780310 DOI: https://doi.org/10.3389/fnhum.2018.00171
  2. Allen, M. L., Hartley, C., & Cain, K. (2016). iPads and the use of “Apps” by children with Autism Spectrum Disorder: Do they promote learning? Frontiers in Psychology, 7, Article 1305.https://doi.org/10.3389/fpsyg.2016.01305 DOI: https://doi.org/10.3389/fpsyg.2016.01305
  3. Baur, K.,Speth, F., Nagle, A., Riener, R., & Klamroth-Marganska, V. (2018). Music meets robotics: A prospective randomized study on motivation during robot-aided therapy. Journal of Neuro Engineering and Rehabilitation, 15(79), 1-13. https://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-018-0413-8 DOI: https://doi.org/10.1186/s12984-018-0413-8
  4. Benveniste, S., Jouvelot, P., &Péquignot, R. (2010). The MINWii project: Renarcissization of patients suffering from Alzheimer’s disease through video game-based musictherapy. International Conference on Entertainment Computing, 6243, 79–90.https://doi.org/10.1007/978-3-642-15399-0_8 DOI: https://doi.org/10.1007/978-3-642-15399-0_8
  5. Bergamo, H. (2015). Desenvolvimento de aplicativos e jogos de música para utilização no campo da musicoterapia. Incantare, 6(2), 73–96. https://periodicos.unespar.edu.br/index.php/incantare/article/view/1268 DOI: https://doi.org/10.33871/2317417X.2015.6.2.1268
  6. Boulay, M., Benveniste, S., Boespflug, S., Jouvelot, P., & Rigaud, A. (2011). A pilot usability study of MINWii, a music therapy game for demented patients. Journal of the European Society for Engineering and Medicine, 19(4), 233–246. https://doi.org/10.3233/THC-2011-0628 DOI: https://doi.org/10.3233/THC-2011-0628
  7. Boyd, T. K.,Barnett, J. E. H., & More, C. M. (2015). Evaluating iPad technology for enhancing communication skills of children with autism spectrum disorders. Intervention in School and Clinic, 51(1), 19–27. https://doi.org/10.1177/1053451215577476 DOI: https://doi.org/10.1177/1053451215577476
  8. Daly, I., Williams, D., Kirke, A., Weaver, J., Malik, A., Hwang, F., Miranda, E., &Nasuto, S. J. (2016). Affective brain: Computer music interfacing. Journal of Neural Engineering, 13(4), Article 046022.https://pubmed.ncbi.nlm.nih.gov/27396478 DOI: https://doi.org/10.1088/1741-2560/13/4/046022
  9. Denecke, K. (2017). A mobile system for music anamnesis and receptive music therapy in the personal home. Precision Health care through Informatics, 245, 54–58. https://doi.org/10.3233/978-1-61499-830-3-54
  10. Frid, E. (2019). Accessible digital musical instruments: A review of musical interfaces in inclusive music practice. Multimodal Technologies and Interaction, 3(3), Article 57. https://www.mdpi.com/2414-4088/3/3/57 DOI: https://doi.org/10.3390/mti3030057
  11. Friedman, N., Chan, V., Bachman, M., & Reinkensmeyer, D. J. (2011). MusicGlove: Motivating and quantifyingh and movement rehabilitation by using functional grips to play music. Conference of the IEEE Engineering in Medicine and Biology Society, 2011, 2359–2363. https://doi.org/10.1109/IEMBS.2011.6090659 DOI: https://doi.org/10.1109/IEMBS.2011.6090659
  12. Garzo, A., Silva, P. A., Garay -Vitoria, N., Hernandez, E.,Cullen, S., Cock, V. C., Ihalainen, P., & Villing, P. (2018). Design and development of a gait training system for Parkinson's disease. PLoSOne, 13(11), Article e0207136.https://doi.org/10.1371/journal.pone.0207136 DOI: https://doi.org/10.1371/journal.pone.0207136
  13. Knight, A., & Krout, R. (2017). Making sense of today’s electronic music technology resources for music therapy. Music Therapy Perspectives, 35(2), 219–225. https://doi.org/10.1093/mtp/miw025 DOI: https://doi.org/10.1093/mtp/miw025
  14. Ko, J. S., Whiting, Z.,Nguyen, C., Liu, R. W., & Gilmore, A. (2016). A randomized prospective study of the use of iPads in reducing anxiety during castroom procedures. The Iowa Orthopedic Journal, 36, 128–132.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910802/
  15. Lima, D., & Castro, T. (2012). Music spectrum: A musicimmersi on virtual environment for children with autism. Procedia Computer Science, 14, 111–118. https://doi.org/10.1016/j.procs.2012.10.013 DOI: https://doi.org/10.1016/j.procs.2012.10.013
  16. Mader, S., Natkin, S., &Leviux, G. (2012). How to analyze therapeutic games: The player/game/therapy model. Entertainment Computing – ICEC, 7522, 193–206. https://doi.org/10.1007/978-3-642-33542-6_17 DOI: https://doi.org/10.1007/978-3-642-33542-6_17
  17. Magee, W. L. (2006). Electronic technologies in clinical music therapy: A survey of practice and attitudes. Technology and Disability, 18(3), 139–146. https://doi.org/10.3233/TAD-2006-18306 DOI: https://doi.org/10.3233/TAD-2006-18306
  18. Magee, W. L., Bertolami, M., Kubicek, L., LaJoie, M., Martino, L., Sankowski, A., Townsend, J., Whitehead-Pleaux, A. M., & Zigo, J. B. (2011). Using music technology in music therapy with populations across the life span in medical and educational programs. Journal of Music Medicine, 3(3), 146–153. https://mmd.iammonline.com/index.php/musmed/issue/view/40 DOI: https://doi.org/10.1177/1943862111403005
  19. Magee, W. L. (2014). Using electronic and digital technologies in music therapy: The implications of gender and age for therapists and the people with Whom they work. Music, Health, Technology and Design, 8(7), 227–241.https://hdl.handle.net/11250/279900
  20. McNaughton, D., & Light, J. (2013). The iPad and mobile technology revolution: Benefits and challenges for individuals Who require augmentative and alternative communication. Journal of Augmentative and Alternative Communication, 29(2), 107–116.https://doi.org/10.3109/07434618.2013.784930 DOI: https://doi.org/10.3109/07434618.2013.784930
  21. Pyae, A., Luimula, M., &Smed, J. (2015). Rehabilitative games for stroke patients. European Alliance for Innovation, 1, 1–11. https://eudl.eu/doi/10.4108/sg.1.4.e2 DOI: https://doi.org/10.4108/sg.1.4.e2
  22. Rodrigues, I. O.,Gattino, G. S., & Wagner, M. B. (2018). Musicoterapia e surdez: Um ensaio clínico através do software “CromoTMusic”. Brazilian Journalof Music Therapy, 25, 47–63. https://musicoterapia.revistademusicoterapia.mus.br/index.php/rbmt/article/download/33/26/66.
  23. Sandak, B., Gilboa, A., &Harel, D. (2020). Computational paradigm to elucidate the effects of arts-based approaches: Art and music studies and implications for research and therapy. Frontiers in Psychology, 11, Article 1200. https://doi.org/10.3389/fpsyg.2020.01200 DOI: https://doi.org/10.3389/fpsyg.2020.01200
  24. Shen, N., Levitan, M.-J., Johnson, A., Bender, J. L., Hamilton-Page, M., Jadad, A. A. R., &Wiljer, D. (2015). Finding a depression app: A review and content analysis of the depression app market place. JMIR mHealth and uHealth, 3(1), Article e4. https://pubmed.ncbi.nlm.nih.gov/25689790/ DOI: https://doi.org/10.2196/mhealth.3713
  25. Streeter, E., Davies, M. E. P., Reiss, J. D., Hunt, A., Caley, R., & Roberts, C. (2012). Computer aided music therapy evaluation: Testing the music therapy logbook prototype system. The Arts in Psychotherapy, 39(1), 1–10. https://doi.org/10.1016/j.aip.2011.11.004 DOI: https://doi.org/10.1016/j.aip.2011.11.004
  26. Taheri, H., Rowe, J. B., Gardner, D., Chan, V., Reinkensmeyer, D. J., & Wolbrecht, E. T. (2012). Robot-assisted GuitarHero for finger rehabilitation after stroke. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3911–3917. https://pubmed.ncbi.nlm.nih.gov/23366783/ DOI: https://doi.org/10.1109/EMBC.2012.6346822
  27. Tan, M., & Khetrapal, N. (2016). Music-inspired framework for remediating emotional deficits in autism. Procedia Computer Science, 88, 469–474. https://doi.org/10.1016/j.procs.2016.07.466 DOI: https://doi.org/10.1016/j.procs.2016.07.466
  28. Ward, A., Davis, T., & Bevan, A. (2019). Music technology and alternate controllers for clients with complex needs. Music Therapy Perspectives, 37(2), 151–168. https://academic.oup.com/mtp/article/37/2/151/5533486 DOI: https://doi.org/10.1093/mtp/miz006

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