EVALUATION OF GAIT REHABILITATION OUTCOMES IN ISCHEMIC STROKE PATIENTS USING ROBOT-ASSISTED GAIT TRAINING IN DA NANG C HOSPITAL
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Abstract
Objective: To evaluate the effectiveness of robot-assisted gait training (MRG-P100) in improving gait function among patients with ischemic stroke. Methods: A controlled clinical trial was conducted at C Hospital, Da Nang, from January to June 2025. A total of 32 patients with ischemic stroke were randomly assigned into intervention and control groups. Both groups received standard rehabilitation. Additionally, the intervention group received 30 minutes/day of robot-assisted gait training using the MRG-P100, while the control group received 30 minutes/day of conventional functional training with a therapist. The intervention lasted 4 weeks (20 sessions). Gait-related function was evaluated before and after intervention using FAC, FMA-LE, BBS, and MMT scores. Results: Both groups improved after intervention, but the intervention group showed significantly greater gains (p < 0.05): FAC: Mean improvement of 1.88 points (vs. 0.53 in control group). FMA-LE: Mean increase of 11.35 points (vs. 4.0). BBS: Mean gain of 23.17 points (vs. 12.26). MMT: Increased by 1.76 points (vs. 0.8). Conclusion: Combining robot-assisted gait training with conventional rehabilitation significantly enhances walking ability, lower-limb motor recovery, muscle strength, and balance in subacute ischemic stroke patients compared to conventional therapy alone.
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Keywords
Stroke, ischemic stroke, rehabilitation, gait training robot, MRG-P100, FAC, FMA-LE, BBS, MMT.
References
2. Feigin VL, Roth GA, Naghavi M, et al. (2021). Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology.
3. Skilbeck, C. E., Wade, D. T., Hewer, R. L., & Wood, V. A. (1983). Recovery after stroke. Journal of Neurology, Neurosurgery & Psychiatry, 46(1), 5–8. https://doi.org/10.1136/jnnp.46.1.51.
4. Mehrholz J, Thomas S, Kugler J, Pohl M, Elsner B. (2020); Electromechanical-assisted training for walking after stroke. Cochrane Database Syst Rev (2020);10:CD006185. doi: 10.1002/14651858.CD006185.pub5.
5. Daly, J. J., & Ruff, R. L. (2007). Construction of efficacious gait and upper limb functional interventions based on brain plasticity evidence and model‑based measures for stroke patients. The Scientific World Journal, 7, 2031–2045. https://doi.org/10.1100/tsw.2007.299. Dietz, V., Colombo, G., & Wirz, M. (1994). Driven gait orthosis for improvement of locomotor training in paraplegic patients. Annals of the New York Academy of Sciences, ..., 1260–1263. Krakauer, J. W. (2006). Motor learning: Its relevance to stroke recovery and neurorehabilitation. Current Opinion in Neurology, 19(1), 84–90. https://doi.org/10.1097/01.wco.0000200544.29915.cc. Plautz, E. J., Milliken, G. W., & Nudo, R. J. (2000). Effects of repetitive motor training on movement representations in adult squirrel monkeys: Role of use versus learning. Neurobiology of Learning and Memory, 74(1), 27–55. https://doi.org/10.1006/nlme.2000.3920
6. Schmidt, H., Werner, C., Bernhardt, R., Hesse, S., & Krüger, J. (2007). Gait rehabilitation machines based on programmable footplates. Journal of NeuroEngineering and Rehabilitation, 4(2). https://doi.org/10.1186/1743-0003-4-2
7. Mehrholz, J., Wagner, K., Rutte, K., Meissner, D., & Pohl, M. (2007). Predictive validity and responsiveness of the Functional Ambulation Category in hemiparetic patients after stroke. Archives of Physical Medicine and Rehabilitation, 88(10), 1314–1319. https://doi.org/10.1016/j.apmr.2007.06.764
8. Shishi CHEN et al (2024); How robot-assisted gait training affects gait ability, balance and kinematic parameters after stroke: a systematic review and meta-analysis; European Journal of Physical and Rehabilitation Medicine 2024 June;60(3):400-11;DOI: 10.23736/S1973-9087.24.08354-0.