Journal of Shandong University (Health Sciences) ›› 2023, Vol. 61 ›› Issue (3): 121-126.doi: 10.6040/j.issn.1671-7554.0.2022.1321

• 临床医学 • Previous Articles    

Effects of lower limb exoskeleton robot rehabilitation training on lower limb motion of hemiplegic patients after stroke

LI Xi1,2, WANG Bingxiang3, LI Na1, CAO Lina1, LI Aihua4, GUAN Xiao1, ZHANG Zhimian1   

  1. 1. Department of Health Management Center, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China;
    2. Department of Health Management, Jining No.1 Peoples Hospital, Jining 272000, Shandong, China;
    3. Department of Spine Surgery, Shandong Provincial Hospital, Jinan 250021, Shandong, China;
    4. Department of Rehabilitation Medicine, Jinan Hospital Jinan 250013, Shandong, China
  • Published:2023-03-24

Abstract: Objective To explore the effects of lower limb exoskeleton robot rehabilitation training on lower limb motor function of hemiplegic patients after stroke. Methods A total of 54 patients with stroke hemiplegia within 12 months of onset were randomly divided into the test group(n=27)and control group(n=27). The control group received routine rehabilitation training and walking training, while the test group received routine rehabilitation training combined with lower limb exoskeleton robot rehabilitation training. Walking function was assessed before, 2 weeks and 4 weeks after training. The 6 minute walking test(6MWT), 10 meter walking test(10MWT), functional ambulation category(FAC), and Fugl-Meyer assessment for lower extremity(FMA-LE)were used to assess the lower extremity motor function. Gait analysis was collected by using the motion capture system. Results (1) After 2 and 4 weeks of training, the 6MWT and 10MWT of both groups were significantly improved(P<0.05); after 4 weeks of training, the 6MWT of both groups was further improved compared with that of 2 weeks(P<0.001); the 10MWT of the test group was significantly improved compared with that of 2 weeks(P=0.008 5). (2) After 2 and 4 weeks of training, FAC and FMA-LE in both groups were significantly improved(P<0.01); FMA-LE in the two groups was further improved after 4 weeks of training compared with that of 2 weeks(P<0.001). (3) After 4 weeks of training, the gait cycle of the test group was significantly improved compared with that before training(P=0.003 5)and 2 weeks of training(P=0.003 2). Conclusion The lower limb exoskeleton robot can effectively improve the lower limb motor function, walking function and walking cycle, and its effect is equivalent to that of conventional walking training.

Key words: Lower limb exoskeleton robot, Rehabilitation training, Stroke, Hemiplegia, Walking function, Gait

CLC Number: 

  • R493
[1] Dong S, Fang J, Li Y, et al. The population attributable risk and clustering of stroke risk factors in different economical regions of China[J]. Medicine(Baltimore), 2020, 99(16): 19689. doi: 10.1097/MD.000000000-0019689.
[2] Sattelmayer M, Chevalley O, Steuri R, et al. Over-ground walking or robot-assisted gait training in people with. multiple sclerosis: does the effect depend on baseline walking speed and disease related disabilities? Asystematic review and meta-regression[J]. BMC Neurol, 2019, 19(1): 93-106.
[3] 包译, 朵强, 张源芮, 等. 下肢康复机器人对缺血性脑卒中恢复期患者步行功能的影响[J]. 中国康复医学杂志, 2022, 37(8): 1079-1083.
[4] Louie DR,Eng JJ. Powered robotic exoskeletons in post-stroke rehabilitation of gait: a scoping review[J]. J Neuroeng Rehabil, 2016, 13(1): 53-62.
[5] Yao J, Sado T, Wang W, et al. The kickstart walk assist system for improving balance and walking function in stroke survivors: a feasibility study[J]. J Neuroeng Rehabil, 2021, 18(1): 42-53.
[6] Agarwala P, Salzman SH. Six-minute walk test: clinical role, technique, coding, and reimbursement[J]. Chest, 2020, 157(3): 603-611.
[7] Hesse S, Konrad M, Uhlenbrock D. Treadmill walking with partial body weight support versus floor walking in hemiparetic subjects[J]. Arch Phys Med Rehabil, 1999, 80(4): 421-427.
[8] Sullivan KJ, Tilson JK, Cen SY, et al. Fugl-Meyer assessment of sensorimotor function after stroke: standardized training procedure for clinical practice and clinical trials[J]. Stroke, 2011, 42(2): 427-432.
[9] 李宏伟, 张韬, 冯垚娟, 等. 外骨骼下肢康复机器人在脑卒中康复中的应用进展[J]. 中国康复理论与实践, 2017, 23(7): 788-791. LI Hongwei, ZHANG Tao, FENG Yaojuan, et al. Application of exoskeleton-based lower limb rehabilitation robot in stroke rehabilitation(review)[J]. Chinese Journal of Rehabilitation Theory and Practice, 2017, 23(7): 788-791.
[10] 刘畅, 郄淑燕, 王寒明, 等. 下肢康复机器人对脑卒中偏瘫患者下肢运动功能与步行能力的效果[J]. 中国康复理论与实践, 2017, 23(6): 696-700. LIU Chang, QIE Shuyan, WANG Hanming, et al. Effect of robot-assisted gait training on lower limb motor function and gait ability in patients with hemiplegia after stroke[J]. Chinese Journal of Rehabilitation Theory and Practice, 2017, 23(6): 696-700.
[11] Zhong B, Cao J, McDaid A, et al. Synchronous position and compliance regulation on a bi-joint gait exoskeleton driven by pneumatic muscles[J]. IEEE Trans Autom Sci Eng, 2020, 17(1): 2162-2166.
[12] Louie DR, Eng JJ. Powered robotic exoskeletons in post-stroke rehabilitation of gait: a scoping review[J]. J Neuroeng Rehabil, 2016, 13(1): 53-62.
[13] Kim DH, Kang CS, Kyeong S. Robot-assisted gait training promotes brain reorganization after stroke: a randomized controlled pilot study[J]. Neurorehabilitation, 2020, 46(4): 483-489.
[14] Chang WH, Kim MS, Huh JP, et al. Effects of robot-assisted gait training on cardiopulmonary fitness in subacute stroke patients: a randomized controlled study[J]. Neurorehabil Neural Repair, 2012, 26(4): 318-324.
[15] 胡安龙, 顾旭东, 吴华, 等. 下肢康复机器人训练对脑卒中患者心肺功能的影响[J]. 中华物理医学与康复杂志, 2018, 40(3): 179-182. HU Anlong, GU Xudong, WU Hua, et al. The effects of robot-assisted lower-limb training on stroke survivors’ cardiopulmonary function[J]. Chinese Journal of Physical Medicine and Rehabilitation, 2018, 40(3): 179-182.
[16] Pignolo L, Basta G, Carozzo S, et al. A body—weight-supported visual feedback system for gait recovering in stroke patients: a randomized controlled study[J]. Gait Posture, 2020, 82: 287-293.
[17] Chua K, Lim WS, Lim PH, et al. An exploratory clinical study on an automated, speed-sensing treadmill prototype with partial body weight support for hemiparetic gait rehabilitation in subacute and chronic stroke patients[J]. Front Neurol, 2020, 11: 747. doi: 10.3389/fneur.2020. 00747.
[18] 施爱梅, 郑琦, 顾旭东, 等. 骨盆辅助式康复机器人训练对急性期脑梗死患者躯干控制及步行功能的影响[J]. 中华物理医学与康复杂志, 2022, 44(8): 695-699. SHI Aimei, ZHENG Qi, GU Xudong, et al. Robotic pelvic assistance better improves trunk control and walking after a stroke[J]. Chinese Journal of Physical Medicine and Rehabilitation, 2022, 44(8): 695-699.
[19] Lee SH, Lee HJ, Shim Y, et al. Wearable hip-assist robot modulates cortical activation during gait in stroke patients: a functional near-infrared spectroscopy study[J]. J Neuroeng Rehabil, 2020, 17(1): 145. doi: 10.1186/s12984 - 020-00777-0.
[20] Calabrò RS, Naro A, Russo M, et al. Shaping neuroplasticity by using powered exoskeletons in patients with stroke: a randomized clinical trial[J]. J Neuroeng Rehabil, 2018, 15(1): 35. doi: 10.1186/s12984-018-0377-8.
[21] 龙建军, 王玉龙, 王同, 等.下肢外骨骼康复机器人对偏瘫患者步态参数的影响[J]. 中国康复医学杂志, 2021, 36(9): 1107-1110. LONG Jianjun, WANG Yulong, WANG Tong, et al. Effects of lower limb exoskeleton robot on gait parameters in hemiplegic patients[J]. Chinese Journal of Rehabilitation Medicine, 2021, 36(9): 1107-1110.
[22] Husemann B, Miiller 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[J]. Stroke, 2007, 38(2): 349-354.
[23] Tays G, Bao S, Javidialsaadi M, et al. Consolidation of use-dependent motor memories induced by passive movement training[J]. Neurosci Lett, 2020, 732: 135080. doi: 10.1016/j. neulet.2020.135080.
[24] Patterson KK, Mansfield A, Biasin L, et al. Longitudinal changes in poststroke spatiotemporal gait asymmetry over inpatient rehabilitation[J]. Neurorehabil Neural Repair, 2015, 29(2): 153-162.
[25] 陈芳,季晶,苏彬,等.平地行走式下肢外骨骼机器人对脑卒中患者步行功能的影响[J]. 中华物理医学与康复杂志, 2022, 44(6): 497-502. CHEN Fang, JI Jing, SU Bin, et al. An exoskeleton robot can help improve the walking ability of stroke survivors[J]. Chinese Journal of Physical Medicine and Rehabilitation, 2022, 44(6): 497-502.
[26] Li Y, Fan T, Qi Q, et al. Efficacy of a novel exoskeletal robot for locomotor rehabilitation in stroke patients: a multi-center, non-inferiority, randomized controlled trial[J]. Front Aging Neurosci, 2021, 13: 706569. doi: 10.3389/fnagi. 2021.706569.
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