Physical Therapy Rehabilitation Science

korean Academy of Physical Therapy Rehabilitation Science (물리치료재활과학회)
권호 표지
DOI QR코드

DOI QR Code

Comparison of Effects on Static Balance in Stroke Patients According to Visual Biofeedback Methods

  • Kyu-Seong Choi (Department of Physical Therapy, Graduate School of Health and Medicine, Daejeon University) ;
  • Il-Ho Kwon (Department of Physical Therapy, Graduate School of Daejeon University) ;
  • Won-Seob Shin (Department of Physical Therapy, Graduate School of Health and Medicine, Daejeon University)
  • Received : 2023.09.11
  • Accepted : 2023.09.25
  • Published : 2023.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Objective: The purpose of this study is to investigate the impact of visual biofeedback methods utilizing pressure sensors on the static balance of stroke patients. Design: Randomized crossover study. Methods: A total of 27 patients with hemiparesis participated in this study. The following three feedback conditions were considered: condition 1 (Knowledge of performance feedback), condition 2 (Knowledge of result feedback), and condition 3 (None feedback). A force plate was used to measure static balance. The total sway length, average sway velocity, x-axis excursion, and y-axis excursion of the center of pressure were measured. One-way repeated-measures analysis of variance was employed for comparisons of variables between each condition. The statistical significance level was set at α = 0.05 for all analyses. Results: There was a significant difference in the static balance results between each feedback condition (p<0.05). In the post-hoc results, it was confirmed that the static balance was significant in the order of knowledge of performance feedback, knowledge of result feedback, and none feedback. Conclusions: When comparing the three conditions, it was observed that knowledge of performance feedback showed the most improved effect on static balance ability. As further research progresses, that this approach could be used as an effective intervention method in clinical settings.

Keywords

References

  1. Bohannon RW. Knee extension strength and body weight determine sit-to-stand independence after stroke. Physiother Theory Pract. 2007;23:291-7.  https://doi.org/10.1080/09593980701209428
  2. Vearrier LA, Langan J, Shumway-Cook A, Woollacott M. An intensive massed practice approach to retraining balance post-stroke. Gait Posture. 2005;22:154-63.  https://doi.org/10.1016/j.gaitpost.2004.09.001
  3. Punt M, Bruijn SM, Wittink H, van de Port IG, Wubbels G, van Dieen JH. Virtual obstacle crossing: Reliability and differences in stork survivors who prospectively experienced falls or no falls. Gait Posture. 2017;58:533-8.  https://doi.org/10.1016/j.gaitpost.2017.09.013
  4. Magill RA. Motor learning concepts and application. 6th ed. McGraw-Hill, New York. 2001. 
  5. Shin WS, Song CH. Effects of Virtual Reality-based Exercise on Static Balance and Gait Abilities in Chronic Stroke. J Korean Phys Soc. 2009;21:33-40. 
  6. Shin YJ, Shin HS. Effects of Aquatic Gait and Balance Training on Static Balance and Gait in Stroke Patients. Journal of the Korea Academia-Industrial cooperation Society. 2022;23:424-30.  https://doi.org/10.5762/KAIS.2022.23.2.424
  7. Cho YH, Park SJ, Kim SH. Effect of Paretic and Non-paretic Side Spine Taping on Balance Ability in Patients with Stroke. J Int Acad Phys Ther Res. 2019;10:1779-84.  https://doi.org/10.20540/JIAPTR.2019.10.2.1779
  8. Cho KH, Lee WH. The Effects of Two Motor Dual Task Training on Balance and Gait in Patients with Chronic Stroke. J Kor Soc Phys Ther. 2010;22:7-14.  https://doi.org/10.1589/jpts.22.7
  9. Sackley CM, Lincoln NB. Single blind randomized controlled trial of visual feedback after stroke: Effects on stance symmetry and function. J Disabil Rehabil. 1997;19:536-46.  https://doi.org/10.3109/09638289709166047
  10. Zelanznik HN, Hawkins B, Kisselburgh L. Rapid visual feedback processing in single-aiming movements. J Mot Behav. 1983;18:353-72. 
  11. Heiden E, Lajoie Y. Games-based biofeedback training and the attentional demands of balance in older adults. Aging Clin Exp Res. 2010;22:367-73.  https://doi.org/10.1007/BF03337732
  12. Schmidt RA. Motor control and learning: A behavioral Emphasis. 2nd ed. Human Kinetics Publishers, Champaign. 1988 
  13. Magil RA. Motor Learning and Performance From Principles To Practice. Champaign, Human Kinetics. 1998. 
  14. Huh JY. The effects of summary knowledge performance(KP) in person with MR on golf putting learning. Korean J Adapt Phys Act. 2003;11:231-42. 
  15. Thorpe DE, Valvano J. The effects of knowledge of performance and cognitive strategies on motor skill learning in children with cerebral palsy. Pediatr Phys Ther. 2002;14:2-15.  https://doi.org/10.1097/00001577-200214010-00002
  16. Oh DS, Choi HS, Kim TH, Roh JS. Effects of Relative Frequency of Knowledge of Performance on Balance Retraining in Patients With Hemiplegia. Physical Therapy Korea. 2001;8:9-19. 
  17. Nam GY, Jung BI, Cho SH, Hur HK. The Use of the 'Knowledge of Results' for WristProprioceptive Training in Patients With Hemiplegia. KSOT. 2000;8:15-29. 
  18. Van Vliet PM, Wulf G. Extrinsic feedback for motor learning after stroke: What is the evidence?. J Disabil Rehabil. 2006;28:831-40.  https://doi.org/10.1080/09638280500534937
  19. Park JH, Kwon YC. Standardization of Kprean Version of the Mini-Mental State Examination (MMSE-K) for Use in the Elderly. Part II. Diagnostic Validity. J Korean Neuropsychiatr Assoc. 1989;28:508-13. 
  20. Kwon IH, Song JY, Kim DY. A Study on the Balance Characteristics of the Elderly using the Balance System based on the Pressure Sensor. The HCI Society of Korea. 2018;1:666-9. 
  21. Iuliana BB, Flavia DG, Simona M, Adrian P. TRX Suspension training method and static balance in junior basketball players. STUDIA UBB EDUCATIO ARTIS GYMN. 2015;3:27-34. 
  22. Lee SW, Shin DC, Song CH. The effects of visual feedback training on sitting balance ability and visual perception of patients with chronic stroke. J Phys Ther Sci. 2013;25:635-9.  https://doi.org/10.1589/jpts.25.635
  23. Bonan IV, Yelnik AP, Colle FM, Michaud C, Normand E, Panigot B, et al. Reliance on visual information after stroke. Part ii: Effectiveness of a balance rehabilitation program with visual cue deprivation after stroke: a randomized controlled trial. Arch Phys Med Rehabil. 2004;85:274-8.  https://doi.org/10.1016/j.apmr.2003.06.016
  24. Park DS, Lee DY, Choi SJ, Shin WS. Reliability and validity of the balancia using wii balance board for assessment of balance with stroke patients. Journal of the Korea Academia-Industrial cooperation Society. 2013;14:2767-72.  https://doi.org/10.5762/KAIS.2013.14.6.2767
  25. Ahn MH, Park KD, You YY. The effect of feedback on somesthetic video game training for improving balance of stroke patients. J Korean Soc Phys Med. 2012;7:401-9.  https://doi.org/10.13066/kspm.2012.7.4.401
  26. Schmidt RA, Young DE. Methodology for motor learning: A paradigm for kinematic feedback. J Mot Behav. 1991;23:13-24.  https://doi.org/10.1080/00222895.1991.9941590
  27. Cirstea CM, Ptito A, Levin MF. Feedback and cognition in arm motor skill reacquisition after stroke. Stroke. 2006;37:1237-42.  https://doi.org/10.1161/01.STR.0000217417.89347.63
  28. Crane L. Mental retardation: A Community integration approach. Thomson Learning. Wadsworth Belmont. 2002. 
  29. Schmidt RA, Lee TD, Winstein CJ, Wulf G, Zelaznik HZ. Motor Control and Learning: A Behavioral Emphasis. Sixth Edition. Human Kinetics. 2018. 
  30. Wang Y, Hu Z, Chen K, Yang Y. Automatic characterization of stroke patients'posturography based on probability density analysis. BioMedical Engineering OnLine. 2023;22:1-16. https://doi.org/10.1186/s12938-022-01062-y