과제정보
This work was supported by a National Research Foundation Korea (NRF) grant funded by the Korean government (MSIT) (NRF-2022R1G1A1012388).
참고문헌
- American Stroke Association. Understand stroke, What is stroke. 2017; https://www.stroke.org/en/about-stroke.
- Sin SY, Jang WH, Kim DY et al. The Long-term survival and recurrence rate of stroke patients in Korea: The multicenter prospective cohort study. Public Health Weekly Report. 2022;15(43):2719-33.
- Bang DH, Cho HS. Effect of body awareness training on balance and walking ability in chronic stroke patients: A randomized controlled trial. J Phys Ther Sci. 2016;28(1):198-201. https://doi.org/10.1589/jpts.2016.198
- Hidler J, Nichols D, Pelliccio M, et al. Advances in the understanding and treatment of stroke impairment using robotic devices. Topics in Stroke Rehabilitation. 2005;12(2):22-35. https://doi.org/10.1310/RYT5-62N4-CTVX-8JTE
- Jung JH, Lee NG, You JH, et al. Validity and feasibility of intelligent walkbot system. Electronics Letters, 2009;45(20):1016-7. https://doi.org/10.1049/el.2009.0879
- Schwartz I, Sajin A, Fisher I, et al. The effectiveness of locomotor therapy using robotic-assisted gait training in subacute stroke patients: A randomized controlled trial. PM & R. 2009;1(6):516-23. https://doi.org/10.1016/j.pmrj.2009.03.009
- Hornby TG, Campbell DD, Kahn JH, et al. Enhanced gait-related improvements after therapist-versus robotic-assisted locomotor training in subjects with chronic stroke a randomized controlled study. Stroke. 2008;39(6):1786-92. https://doi.org/10.1161/STROKEAHA.107.504779
- Llorens R, Gil-Gomez JA, Alcaniz M, et al. Improvement in balance using a virtual reality-based stepping exercise: A randomized controlled trial involving individuals with chronic stroke. Clin Rehabil. 2015;29(3):261-8. https://doi.org/10.1177/0269215514543333
- Flynn S, Palma P, Bender A. Feasibility of using the Sony PlayStation2 gaming platform for an individual poststroke: a case report. J Neurol Phys Ther. 2007;31(4):180-9. https://doi.org/10.1097/NPT.0b013e31815d00d5
- Husemann B, Muller F, Krewer C, et al. Effects of locomotion training with assistance of a robot-driven gait orthosis in hemiparetic patients after stroke: A randomized controlled pilot study. Stroke. 2007;38(2):349-54. https://doi.org/10.1161/01.STR.0000254607.48765.cb
- Kim SY, Yang L, Park IJ, et al. Effects of innovative WALKBOT robotic-assisted locomotor training on balance and gait recovery in hemiparetic stroke: a prospective, randomized, experimenter blinded case control study with a four-week follow-up. IEEE Trans Neural Syst Rehabil Eng. 2015;23(4):636-42. https://doi.org/10.1109/TNSRE.2015.2404936
- Skjaeret-Maroni N, V onstad EK, Ihlen EA, et al. Exergaming in older adults: movement characteristics while playing stepping games. Front Psychol. 2016;24:964.
- Berg K, Wood-Dauphinee S, Williams JI, et al. Measuring balance in the elderly: Preliminary development of an instrument. Physiother Can. 1989;41(6):304-11. https://doi.org/10.3138/ptc.41.6.304
- Latash ML, Ferreira SS, Wieczorek SA, et al. Movement sway: Changes in postural sway during voluntary shifts of the center of pressure. Exp Brain Res. 2003;150(3):314-24. https://doi.org/10.1007/s00221-003-1419-3
- Verheyden G, Vereeck L, Truijen S, et al. Trunk performance after stroke and the relationship with balance, gait and functional ability. Clin Rehabil. 2006;20:451-8. https://doi.org/10.1191/0269215505cr955oa
- Steffen TM, Hacker TA, Mollinger L. Age-and gender-related test performance in community-dwelling elderly people: six-minute walk test, berg balance scale, timed up & go test, and gait speeds. Phys Ther. 2002;82(2):128-37. https://doi.org/10.1093/ptj/82.2.128
- Chan WL, Pin TW. Reliability, validity and minimal detectable change of 2-minute walk test, 6-minute walk test and 10-meter walk test in frail older adults with dementia. Exp Gerontol. 2019;115:9-18. https://doi.org/10.1016/j.exger.2018.11.001
- Lee HY, Park JH, Kim TW. Comparisons between locomat and walkbot robotic gait training regarding balance and lower extremity function among non- ambulatory chronic acquired brain injury survivors. Medicine. 2021;100(18):e25125.
- Dean CM, Richards CL, Malouin F. Task-related circuit training improves performance of locomotor tasks in chronic stroke: a randomized, controlled pilot trial. Arch Phys Med Rehabil. 2000;81(4):409-17. https://doi.org/10.1053/mr.2000.3839
- Hong SK, Lee GC. Effects of an immersive virtual reality environment on muscle strength, proprioception, balance, and gait of a middle-aged woman who had total knee replacement: A case report. Am J Case Rep. 2019;20:1636-42. https://doi.org/10.12659/AJCR.918521
- Christovaao TCL, Neto HP, Grecco LAC, et al. Effect of different insoles on postural balance: a systematic review. J Phys Ther Sci. 2013;25(10):1353-6. https://doi.org/10.1589/jpts.25.1353
- Srivastava S, Kao PC, Reisman DS, et al. Robotic assist-as-needed as an alternative to therapist-assisted gait rehabilitation. Int J Phys Med Rehabil. 2016;4(5):370.
- Llorens R, Noe E, Colomer C, et al. Effectiveness, usability, and cost-benefit of a virtual reality-based telerehabilitation program for balance recovery after stroke: A randomized controlled trial. Arch Phys Med Rehabil. 2015;96(3): 418-25. https://doi.org/10.1016/j.apmr.2014.10.019
- Kiper P, Turolla A, Piron L, et al. Virtual reality for stroke rehabilitation: assessment, training and the effect of virtual therapy. Med Rehabil. 2010;14:23-32. https://doi.org/10.5604/01.3001.0009.3141
- Morone G, Bragoni M, Iosa M, et al. Who may benefit from robotic-assisted gait training? A randomized clinical trial in patients with subacute stroke. Neurorehabil Neural Repair. 2011;25(7):636-44. https://doi.org/10.1177/1545968311401034
- Crosbie JH, Lennon S, Basford JR, et al. Virtual reality in stroke rehabilitation: still more virtual than real. Disabil Rehabil. 2017;29(14):1139-46. https://doi.org/10.1080/09638280600960909
- Levanon Y. The advantages and disadvantages of using high technology in hand rehabilitation. J Hand Ther. 2013;26(2):179-83. https://doi.org/10.1016/j.jht.2013.02.002
- Lucca LF. Virtual reality and motor rehabilitation of the upper limb after stroke: a generation of progress?. J Rehabil Med. 2009;41(12):1003-6. https://doi.org/10.2340/16501977-0405
- Saposnik G, Levin M, Stroke Outcome Research Canada (SORCan) Working Group. Virtual reality in stroke rehabilitation: a meta-analysis and implications for clinicians. Stroke. 2011;42(5):1380-6. https://doi.org/10.1161/STROKEAHA.110.605451
- Kim JJ, Gu S, Lee JJ, et al. The effects of virtural reality-based continuous slow exercise on factors for falls in the elderly. J Korean Phys Ther. 2012;24(2):90-7.
- Walker ML, Ringleb SI, Maihafer GC, et al. V irtual 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
- Bonnyaud C, Zory R, Boudarham J, et al. Effect of a robotic restraint gait training versus robotic conventional gait training on gait parameters in stroke patients. Exp Brain Res. 2014;232(1):31-42. https://doi.org/10.1007/s00221-013-3717-8
- Hidler J, Wisman W, Neckel N. Kinematic trajectories while walking within the Lokomatrobotic gait-orthosis. Clin Biomech (Bristol, Avon). 2008;23(10):1251-9. https://doi.org/10.1016/j.clinbiomech.2008.08.004