The Journal of Korean Physical Therapy

The Korean Society of Physical Therapy (대한물리치료학회)
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Virtual Reality Community Gait Training Using a 360° Image Improves Gait Ability in Chronic Stroke Patients

  • Kim, Myung-Joon (Department of Physical Therapy, College of Health Science, Kyungdong University)
  • Received : 2020.06.09
  • Accepted : 2020.06.22
  • Published : 2020.06.30
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Abstract

Purpose: Gait and cognitive impairment in stroke patients exacerbate fall risk and mobility difficulties during multi-task walking. Virtual reality can provide interesting and challenging training in a community setting. This study evaluated the effect of community-based virtual reality gait training (VRGT) using a 360-degree image on the gait ability of chronic stroke patients. Methods: Forty-five chronic stroke patients who were admitted to a rehabilitation hospital participated in this study. Patients meeting the selection criteria were randomly divided into a VRGT group (n=23) and a control group (n=22). Both these groups received general rehabilitation. The VRGT group was evaluated using a 360-degree image that was recorded for 50 minutes a day, 5 days per week for a total of 6 weeks after their training. The control group received general treadmill training for the same amount of time as that of the VRGT group. The improvement in the spatiotemporal parameters of gait was evaluated using a gait analyzer system before and after training. Results: The spatiotemporal gait parameters showed significant improvements in both groups compare with the baseline measurements (p<0.05), and the VRGT group showed more improvement than the control group (p<0.05). Conclusion: Community-based VRGT has been shown to improve the walking ability of chronic stroke patients and is expected to be used in rehabilitation of stroke patients in the future.

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References

  1. Laborde A, Caillet F, Eyssette M et al. 3D preliminary analysis gait in stroke patients: knee flexion in compensatory strategies. Ann Readapt Med Phys. 2003;46(3):132-7. https://doi.org/10.1016/S0168-6054(03)00016-3
  2. Patterson KK, Gage WH, Brooks D et al. Evaluation of gait symmetry after stroke: a comparison of current methods and recommendations for standardization. Gait Posture. 2010;31(2):241-6. https://doi.org/10.1016/j.gaitpost.2009.10.014
  3. Park HJ, Oh DW, Kim SY et al. Effectiveness of community-based ambulation training for walking function of post-stroke hemiparesis: a randomized controlled pilot trial. Clin Rehabil. 2011;25(5):451-9. https://doi.org/10.1177/0269215510389200
  4. Moore JL, Roth EJ, Killian C et al. Locomotor training improves daily stepping activity and gait efficiency in individuals poststroke who have reached a “plateau” in recovery. Stroke. 2010;41(1):129-35. https://doi.org/10.1161/strokeaha.109.563247
  5. Harris-Love ML, Forrester LW, Macko RF et al. Hemiparetic gait parameters in overground versus treadmill walking. Neurorehabil Neural Repair. 2001;15(2):105-12. https://doi.org/10.1177/154596830101500204
  6. Song Y, Lee H. The effect of treadmill training applied simultaneously with action observation on walking ability in chronic stroke patients. J Kor Phys Ther. 2016;28(3):176-82. https://doi.org/10.18857/jkpt.2016.28.3.176
  7. Hesse S, Konrad M, Uhlenbrock D. Treadmill walking with partial body weight support versus floor walking in hemiparetic subjects. Arch Phys Med Rehabil. 1999;80(4):421-7. https://doi.org/10.1016/S0003-9993(99)90279-4
  8. Kim CH, Kim YN. Effects of proprioceptive neuromuscular facilitation and treadmill training on the balance and walking ability of stroke patients. J Kor Phys Ther. 2018;30(3):79-83. https://doi.org/10.18857/jkpt.2018.30.3.79
  9. Park JH, Chung YJ. Comparison of aquatic treadmill and anti-gravity treadmill gait training to improve balance and gait abilities in stroke patients. J Kor Phys Ther. 2018;30(2):67-72. https://doi.org/10.18857/jkpt.2018.30.2.67
  10. Fung TT, Stampfer MJ, Manson JE et al. Prospective study of major dietary patterns and stroke risk in women. Stroke. 2004;35(9):2014-9. https://doi.org/10.1161/01.str.0000135762.89154.92
  11. Holden MK. Virtual environments for motor rehabilitation: review. Cyberpsychol Behav. 2005;8(3):187-211. https://doi.org/10.1089/cpb.2005.8.187
  12. Lee J, Lee K, Song C. Speed-interactive treadmill training using smartphone-based motion tracking technology improves gait in stroke patients. J Mot Behav. 2017;49(6):675-85. https://doi.org/10.1080/00222895.2016.1271300
  13. Cho KH, Lee WH. Effect of treadmill training based real-world video recording on balance and gait in chronic stroke patients: a randomized controlled trial. Gait Posture. 2014;39(1):523-8. https://doi.org/10.1016/j.gaitpost.2013.09.003
  14. Shin WS, Song CH. Effects of virtual reality-based exercise on static balance and gait abilities in chronic stroke. J Kor Phys Ther. 2009;21(3):33-40.
  15. Yang S, Hwang WH, Tsai YC et al. Improving balance skills in patients who had stroke through virtual reality treadmill training. Am J Phys Med Rehabil. 2011;90(12):969-78. https://doi.org/10.1097/PHM.0b013e3182389fae
  16. Lam YS, Man DW, Tam SF et al. Virtual reality training for stroke rehabilitation. NeuroRehabilitation. 2006;21(3):245-53. https://doi.org/10.3233/nre-2006-21308
  17. Laver K, George S, Ratcliffe J et al. Virtual reality stroke rehabilitation-hype or hope? Aust Occup Ther J. 2011;58(3):215-9. https://doi.org/10.1111/j.1440-1630.2010.00897.x
  18. Mirelman A, Patritti BL, Bonato P et al. Effects of virtual reality training on gait biomechanics of individuals post-stroke. Gait Posture. 2010;31(4):433-7. https://doi.org/10.1016/j.gaitpost.2010.01.016
  19. Lee HY, Kim YL, Lee SM. Effects of virtual reality-based training and task-oriented training on balance performance in stroke patients. J Phys Ther Sci. 2015;27(6):1883-8. https://doi.org/10.1589/jpts.27.1883
  20. Robert MT, Ballaz L, Lemay M. The effect of viewing a virtual environment through a head-mounted display on balance. Gait Posture. 2016;48:261-6. https://doi.org/10.1016/j.gaitpost.2016.06.010
  21. Laver KE, Lange B, George S et al. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2017;11:CD008349.
  22. Huygelier H, Schraepen B, Van Ee R et al. Acceptance of immersive head-mounted virtual reality in older adults. Sci Rep. 2019;9(1):4519. https://doi.org/10.1038/s41598-019-41200-6
  23. Faul F, Erdfelder E, Lang AG et al. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175-91. https://doi.org/10.3758/BF03193146
  24. Saghaei M. Random allocation software for parallel group randomized trials. BMC Med Res Methodol. 2004;4:26. https://doi.org/10.1186/1471-2288-4-26
  25. van Uden CJ, Besser MP. Test-retest reliability of temporal and spatial gait characteristics measured with an instrumented walkway system (GAITRite). BMC Musculoskelet Disord. 2004;5:13. https://doi.org/10.1186/1471-2474-5-13
  26. McDonough AL, Batavia M, Chen FC et al. The validity and reliability of the GAITRite system's measurements: A preliminary evaluation. Arch Phys Med Rehabil. 2001;82(3):419-25. https://doi.org/10.1053/apmr.2001.19778
  27. Lyons DM. System and method for permitting three-dimensional navigation through a virtual reality environment using camera-based gesture inputs. In: Google Patents; 2001.
  28. Wang Y, Liu W, Meng X et al. Development of an immersive virtual reality head-mounted display with high performance. Appl Opt. 2016;55(25):6969-77. https://doi.org/10.1364/AO.55.006969
  29. Walker ML, Ringleb SI, Maihafer GC et al. Virtual reality-enhanced partial body weight-supported treadmill training poststroke: feasibility and effectiveness in 6 subjects. Arch Phys Med Rehabil. 2010;91(1):115-22. https://doi.org/10.1016/j.apmr.2009.09.009
  30. Yang YR, Tsai MP, Chuang TY et al. Virtual reality-based training improves community ambulation in individuals with stroke: a randomized controlled trial. Gait Posture. 2008;28(2):201-6. https://doi.org/10.1016/j.gaitpost.2007.11.007
  31. Pang MY, Eng JJ, Dawson AS. Relationship between ambulatory capacity and cardiorespiratory fitness in chronic stroke: influence of stroke-specific impairments. Chest. 2005;127(2):495-501. https://doi.org/10.1378/chest.127.2.495
  32. Ada L, Dean CM, Hall JM et al. A treadmill and overground walking program improves walking in persons residing in the community after stroke: a placebo-controlled, randomized trial. Arch Phys Med Rehabil. 2003;84(10):1486-91. https://doi.org/10.1016/S0003-9993(03)00349-6
  33. Dunsky A, Dickstein R, Marcovitz E et al. Home-based motor imagery training for gait rehabilitation of people with chronic poststroke hemiparesis. Arch Phys Med Rehabil. 2008;89(8):1580-8. https://doi.org/10.1016/j.apmr.2007.12.039
  34. Yang YR, Wang RY, Chen YC et al. Dual-task exercise improves walking ability in chronic stroke: a randomized controlled trial. Arch Phys Med Rehabil. 2007;88(10):1236-40. https://doi.org/10.1016/j.apmr.2007.06.762