Usability and Effectiveness Evaluation of a Game-Based Biofeedback System to Strengthen Respiratory Muscles

References

• American Thoracic Society/European Respiratory Society (2002). ATS/ERS statement on respiratory muscle testing. American Journal of Respiratory and Critical Care Medicine, 166(4), 518–624. https://doi.org/10.1164/rccm.166.4.518
   PubMed Web of Science ®Google Scholar
• Armange, L., Bénézit, F., Picard, L., Pronier, C., Guillot, S., Lentz, P.-A., Carré, F., Tattevin, P., & Revest, M. (2021). Prevalence and characteristics of persistent symptoms after non-severe COVID-19: A prospective cohort study. European Journal of Clinical Microbiology & Infectious Diseases: Official Publication of the European Society of Clinical Microbiology, 40(11), 2421–2425. https://doi.org/10.1007/s10096-021-04261-y
   PubMed Web of Science ®Google Scholar
• Bangor, A., Kortum, P. T., & Miller, J. T. (2008). An empirical evaluation of the system usability scale. International Journal of Human-Computer Interaction, 24(6), 574–594. https://doi.org/10.1080/10447310802205776
   Web of Science ®Google Scholar
• Beaumont, M., Forget, P., Couturaud, F., & Reychler, G. (2018). Effects of inspiratory muscle training in COPD patients: A systematic review and meta-analysis. The Clinical Respiratory Journal, 12(7), 2178–2188. https://doi.org/10.1111/crj.12905
   PubMed Web of Science ®Google Scholar
• Bendixen, H. H., Smith, G. M., & Mead, J. (1964). Pattern of ventilation in young adults. Journal of Applied Physiology, 19(2), 195–198. https://doi.org/10.1152/jappl.1964.19.2.195
   PubMed Web of Science ®Google Scholar
• Bhandari, R., Parnandi, A., Shipp, E., Ahmed, B., & Gutierrez-Osuna, R. (2015, May 31–June 3). Music-based respiratory biofeedback in visually-demanding tasks. Proceedings of the International Conference on New Interfaces for Musical Expression, Baton Rouge, LA.
   Google Scholar
• Black, L. F., & Hyatt, R. E. (1971). Maximal static respiratory pressures in generalized neuromuscular disease. The American Review of Respiratory Disease, 103(5), 641–650. https://doi.org/10.1164/arrd.1971.103.5.641
   PubMed Web of Science ®Google Scholar
• Blum, J., Rockstroh, C., & Göritz, A. S. (2020). Development and pilot test of a virtual reality respiratory biofeedback approach. Applied Psychophysiology and Biofeedback, 45(3), 153–163. https://doi.org/10.1007/s10484-020-09468-x
   PubMed Web of Science ®Google Scholar
• Brooke, J. (1996). SUS: A ‘quick and dirty’ usability scale. In Usability evaluation in industry (1st ed.). CRC Press.
   Google Scholar
• Carfì, A., Bernabei, R., & Landi, F. (2020). Persistent symptoms in patients after acute COVID-19. JAMA, 324(6), 603–605. https://doi.org/10.1001/jama.2020.12603
   PubMed Web of Science ®Google Scholar
• Cortinovis, M., Perico, N., & Remuzzi, G. (2021). Long-term follow-up of recovered patients with COVID-19. Lancet (London, England), 397(10270), 173–175. https://doi.org/10.1016/S0140-6736(21)00039-8
   PubMed Web of Science ®Google Scholar
• De Troyer, A., & Boriek, A. M. (2011). Mechanics of the respiratory muscles. Comprehensive Physiology, 1(3), 1273–1300. https://doi.org/10.1002/cphy.c100009
   PubMed Web of Science ®Google Scholar
• Rochester, D. F., & Arora, N. S. (1983). Respiratory muscle failure. The Medical Clinics of North America, 67(3), 573–597. https://doi.org/10.1016/S0025-7125(16)31190-7
   PubMed Web of Science ®Google Scholar
• Fairclough, S.-H. (2009). Fundamentals of physiological computing. Journal of Interacting with Computers. 21(1–2), 133–145. https://doi.org/10.1016/j.intcom.2008.10.011
   Google Scholar
• Fernandez-Lazaro, D., Gallego-Gallego, D, Corchete, L. A, Fernández Zoppino, D., González-Bernal, J. J., García Gómez, B., & Mielgo-Ayuso, J. (2021). Inspiratory muscle training program using the PowerBreath®: Does it have ergogenic potential for respiratory and/or athletic performance? A systematic review with meta-analysis. International Journal of Environmental Research and Public Health. 18(13), 6703. https://doi.org/10.3390/ijerph18136703
   PubMed Web of Science ®Google Scholar
• Figueiredo, R. R., Castro, A. A., Napoleone, F. M. G., Faray, L., de Paula Junior, A. R., & Osório, R. A. L. (2012). Respiratory biofeedback accuracy in chronic renal failure patients: A method comparison. Clinical Rehabilitation, 26(8), 724–732. https://doi.org/10.1177/0269215511431088
   PubMed Web of Science ®Google Scholar
• Garcia-Hernandez, N., Garza-Martinez, K., & Parra-Vega, V. (2018). Electromyography biofeedback exergames to enhance grip strength and motivation. Games for Health Journal, 7(1), 75–82. https://doi.org/10.1089/g4h.2017.0054
   PubMed Web of Science ®Google Scholar
• Hautmann, H., Hefele, S., Schotten, K., & Huber, R. M. (2000). Maximal inspiratory mouth pressures (PIMAX) in healthy subjects–what is the lower limit of normal? Respiratory Medicine, 94(7), 689–693. https://doi.org/10.1053/rmed.2000.0802
   PubMed Web of Science ®Google Scholar
• Hull, J. H., Lloyd, J. K., & Cooper, B. G. (2020). Lung function testing in the COVID-19 endemic. The Lancet. Respiratory Medicine, 8(7), 666–667. https://doi.org/10.1016/S2213-2600(20)30246-0
   PubMed Web of Science ®Google Scholar
• Kapitza, K. P., Passie, T., Bernateck, M., & Karst, M. (2010). First non-contingent respiratory biofeedback placebo versus contingent biofeedback in patients with chronic low back pain: A randomized, controlled, double-blind trial. Applied Psychophysiology and Biofeedback, 35(3), 207–217. https://doi.org/10.1007/s10484-010-9130-1
   PubMed Web of Science ®Google Scholar
• Koulouris, N., Mulvey, D. A., Laroche, C. M., Green, M., & Moxham, J. (1988). Comparison of two different mouthpieces for the measurement of Pimax and Pemax in normal and weak subjects. The European Respiratory Journal, 1(9), 863–867.
   PubMed Web of Science ®Google Scholar
• Manapunsopee, S., Thanakiatpinyo, T., Wongkornrat, W., Chuaychoo, B., & Thirapatarapong, W. (2020). Effectiveness of incentive spirometry on inspiratory muscle strength after coronary artery bypass graft surgery. Heart, Lung & Circulation, 29(8), 1180–1186. https://doi.org/10.1016/j.hlc.2019.09.009
   PubMed Web of Science ®Google Scholar
• Meuret, A. E., Wilhelm, F. H., & Roth, W. T. (2001). Respiratory biofeedback-assisted therapy in panic disorder. Behavior Modification, 25(4), 584–605. https://doi.org/10.1177/0145445501254006
   PubMed Web of Science ®Google Scholar
• Paiva, D. N., Assmann, L. B., Bordin, D. F., Gass, R., Jost, R. T., Bernardo-Filho, M., França, R. A., & Cardoso, D. M. (2015). Inspiratory muscle training with threshold or incentive spirometry: Which is the most effective? Revista Portuguesa de Pneumologia (English Edition), 21(2), 76–81. https://doi.org/10.1016/j.rppnen.2014.05.005
   PubMed Web of Science ®Google Scholar
• Parnandi, A., & Gutierrez-Osuna, R. (2017). Physiological modalities for relaxation skill transfer in biofeedback games. IEEE Journal of Biomedical and Health Informatics, 21(2), 361–371. https://doi.org/10.1109/JBHI.2015.2511665
   PubMed Web of Science ®Google Scholar
• Parnandi, A., Ahmed, B., Shipp, E., & Gutierrez-Osuna, R. (2014). Chill-out: Relaxation training through respiratory biofeedback in a mobile casual game. In G. Memmi & U. Blanke (Eds.), Mobile Computing, Applications, and Services MobiCASE 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (Vol. 130, pp. 252–260). Springer. https://doi.org/10.1007/978-3-319-05452-0_18
   Google Scholar
• Severin, R., Arena, R., Lavie, C. J., Bond, S., & Phillips, S. A. (2020). Respiratory muscle performance screening for infectious disease management following COVID-19: A highly pressurized situation. The American Journal of Medicine, 133(9), 1025–1032. https://doi.org/10.1016/j.amjmed.2020.04.003
   PubMed Web of Science ®Google Scholar
• Torres-Castro, R., Vasconcello-Castillo, L., Alsina-Restoy, X., Solis-Navarro, L., Burgos, F., Puppo, H., & Vilaró, J. (2021). Respiratory function in patients post-infection by COVID-19: A systematic review and meta-analysis. Pulmonology, 27(4), 328–337. https://doi.org/10.1016/j.pulmoe.2020.10.013
   PubMed Web of Science ®Google Scholar
• Troosters, T., Gosselink, R., & Decramer, M. (2005). Respiratory muscle assessment. In R. Gosselink & H. Stam (Eds.), Lung function testing (European respiratory monograph, Vol. 31, pp. 57–71). European Respiratory Society Journals Ltd.
   Google Scholar
• Van Kerrebroeck, B., & Maes, P. J. (2021). A breathing sonification system to reduce stress during the COVID-19 pandemic. Frontiers in Psychology, 12, 623110. https://doi.org/10.3389/fpsyg.2021.623110Van
   Google Scholar
• Vázquez-Gandullo, E., Hidalgo-Molina, A., Montoro-Ballesteros, F., Morales-González, M., Muñoz-Ramírez, I., & Arnedillo-Muñoz, A. (2022). Inspiratory muscle training in patients with chronic obstructive pulmonary disease (COPD) as part of a respiratory rehabilitation program implementation of mechanical devices: A systematic review. International Journal of Environmental Research and Public Health, 19(9), 5564. https://doi.org/10.3390/ijerph19095564
   PubMed Web of Science ®Google Scholar
• Wu, H., Soe, M. M., Konnor, R., Dantes, R., Haass, K., Dudeck, M. A., Gross, C., Leaptrot, D., Sapiano, M. R. P., Allen-Bridson, K., Wattenmaker, L., Peterson, K., Lemoine, K., Chernetsky Tejedor, S., Edwards, J. R., Pollock, D., & Benin, A. L. (2021). Hospital capacities and shortages of healthcare resources among US hospitals during the coronavirus disease 2019 (COVID-19) pandemic, National Healthcare Safety Network (NHSN). Infection Control & Hospital Epidemiology (forthcoming), 1–4. https://doi.org/10.1017/ice.2021.280
   Google Scholar
• Wu, W., Guan, L., Zhang, X., Li, X., Yang, Y., Guo, B., Ou, Y., Lin, L., Zhou, L., & Chen, R. (2017). Effects of two types of equal-intensity inspiratory muscle training in stable patients with chronic obstructive pulmonary disease: A randomised controlled trial. Respiratory Medicine, 132, 84–91. https://doi.org/10.1016/j.rmed.2017.10.001
   PubMed Web of Science ®Google Scholar
• Zafar, M. A., Ahmed, B., Rihawi, R. G., & Gutierrez-Osuna, R. (2020). Gaming away stress: Using biofeedback games to learn paced breathing. IEEE Transactions on Affective Computing, 11(3), 519–531. https://doi.org/10.1109/TAFFC.2018.2816945
   Web of Science ®Google Scholar
• Zajac, F. E. (1989). Muscle and tendon: Properties, models, scaling, and application to biomechanics and motor control. Critical Reviews in Biomedical Engineering, 17(4), 359–411.
   PubMed Web of Science ®Google Scholar
• Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., Guan, L., Wei, Y., Li, H., Wu, X., Xu, J., Tu, S., Zhang, Y., Chen, H., & Cao, B. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. The Lancet, 395(10229), 1054–1062. https://doi.org/10.1016/S0140-6736(20)30566-3
   PubMed Web of Science ®Google Scholar