Effect of virtual scene simulation training combined with midium frequency impulse electrotherapy on upper limb function of hemiplegic patients_West China Medical Journal

Authors：

ZHU Dongyan , XU Qian , WANG Liang , ZHAI Jiajia , HAN Zhenzhen , CAO Hui , ZHOU Sanlian ,  HUANG Zhidong

Department of Rehabilitation Medicine, the First People’s Hospital of Nantong, Jiangsu 226001, P. R. China;

Corresponding author：

HUANG Zhidong, Email: winterhzd@163.com

Keywords：

Virtual scene simulation training; Midium frequency impulse electrotherapy; Hemiplegic; Upper limb function

DOI：

10.7507/1002-0179.202002061

Video：

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Objective To investigate the effect of virtual scene simulation training combined with midium frequency impulse electrotherapy on upper limb function and daily living ability of hemiplegia patients.Methods From March to October 2019, 50 hemiplegic patients were recruited and randomly assigned to the trial group and the control group, with 25 patients in each group. The control group was given routine rehabilitation training, while the trial group was given virtual scene simulation training and medium frequency impulse electrotherapy on the basis of routine rehabilitation training. The Fugl-Meyer Assessment-Upper Extremities (FMA-UE), Simple Test for Evaluating Hand Function (STEF), and Modified Barthel Index (MBI) were used to assess patients’ upper limb function and daily living ability before treatment and after 8 weeks of treatment.Results Before treatment, the FMA-UE, STEF, and MBI scores of the trial group vs. the control group were 22.88±5.18 vs. 23.44±6.26, 40.12±4.82 vs. 41.44±4.54, and 51.40±7.29 vs. 48.60±7.00, respectively, and none of the between-group differences was statistically significant (P>0.05); after 8 weeks of treatment, the FMA-UE, STEF, and MBI scores of the two groups were 39.48±6.35 vs. 33.52±6.53, 59.08±7.54 vs. 52.52±5.83, and 71.00±8.78 vs. 62.40±9.37, respectively, and all of the between-group differences were statistically significant (P<0.05). After 8 weeks of treatment, the FMA-UE, STEF and MBI scores of the two groups of patients were significantly improved compared with those before treatment (P<0.05), and the improvement of each score of the trial group was significantlybetter than that of the control group (P<0.05). No stroke recurrence, electric burn, or other adverse reactions occurred in the two groups after treatment. Conclusion Virtual scene simulation training combined with midium frequency impulse electrotherapy can effectively improve the upper limb function of patients with hemiplegia and improve their quality of life.

Citation： ZHU Dongyan, XU Qian, WANG Liang, ZHAI Jiajia, HAN Zhenzhen, CAO Hui, ZHOU Sanlian, HUANG Zhidong. Effect of virtual scene simulation training combined with midium frequency impulse electrotherapy on upper limb function of hemiplegic patients. West China Medical Journal, 2021, 36(5): 613-616. doi: 10.7507/1002-0179.202002061 Copy

1.	Kim D. The effects of hand strength on upper extremity function and activities of daily living in stroke patients, with a focus on right hemiplegia. J Phys Ther Sci, 2016, 28(9): 2565-2567.
2.	熊文君. 中频治疗仪治疗脑卒中偏瘫早期肢体功能障碍患者的临床效果. 医疗装备, 2019, 32(10): 112-113.
3.	侯红, 王彤, 范亚蓓, 等. 上肢智能反馈结合任务导向性活动训练对偏瘫患者上肢功能的影响. 中华物理医学与康复杂志, 2017, 39(3): 191-193.
4.	袁淑娟, 徐勇, 刘爱玲, 等. 上肢康复机器人训练对脑卒中注意力障碍病人生活自理能力的影响. 中西医结合心脑血管病杂志, 2017, 15(15): 1924-1927.
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6.	Park SD, Kim JY, Song HS. Effect of application of transcranial direct current stimulation during task-related training on gait ability of patients with stroke. J Phys Ther Sci, 2015, 27(3): 623-625.
7.	庞文君, 张雷, 吴博, 等. 计算机手功能训练联合任务导向性训练对脑卒中偏瘫上肢功能的影响. 中国康复医学杂志, 2015, 30(10): 1037-1040.
8.	Saposnik G, Teasell R, Mamdani M, et al. Effectiveness of virtual reality using Wii gaming technology in stroke rehabilitation: a pilot randomized clinical trial and proof of principle. Stroke, 2010, 41(7): 1477-1484.
9.	刘树利, 王亚丽, 卢潇帅, 等. 上肢机器人训练疗法对脑卒中偏瘫患者上肢功能恢复的影响. 按摩与康复医学, 2016, 7(1): 24-25.
10.	李冰洁, 李芳. 虚拟现实康复技术在脑卒中后上肢运动障碍中的应用进展. 中国现代神经疾病杂志, 2017, 17(4): 245-248.
11.	万雪莉, 尹清. 神经发育治疗技术在脑卒中偏瘫患者康复治疗中的应用. 现代医药卫生, 2014, 30(24): 3797-3798.
12.	苏琦, 徐德恩. 中频脉冲电疗联合激光穴位照射对缺血性脑卒中患者肢体功能康复的影响. 广西医科大学学报, 2019, 36(6): 989-992.
13.	French B, Thomas LH, Leathley MJ, et al. Repetitive task training for improving functional ability after stroke. Cochrane Database Syst Rev, 2007(4): CD006073.
14.	张淑娴, 郑雅丹, 李鑫, 等. 智能运动反馈训练在脑卒中恢复期偏瘫患者手及上肢功能康复中的应用. 中国康复医学杂志, 2019, 34(10): 1183-1187.
15.	Kim WS, Cho S, Park SH, et al. A low cost kinect-based virtual rehabilitation system for inpatient rehabilitation of the upper limb in patients with subacute stroke: a randomized, double-blind, sham-controlled pilot trial. Medicine (Baltimore), 2018, 97(25): e11173.
16.	刘震, 张盘德, 容小川, 等. 上肢机器人治疗联合肌电生物反馈对急性脑卒中患者上肢功能的影响. 中华物理医学与康复杂志, 2014, 36(7): 523-526.
17.	杨云珠. 神经肌肉电刺激技术在改善40例脑卒中偏瘫患者生活质量中的应用. 上海医药, 2016, 37(21): 40-43.
18.	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): 636-644.
19.	赵一瑾, 余彬, 何龙龙, 等. 虚拟现实技术结合作业治疗训练对脑卒中偏瘫患者上肢功能影响的临床研究. 中国康复医学杂志, 2019, 34(6): 661-666.

1. Kim D. The effects of hand strength on upper extremity function and activities of daily living in stroke patients, with a focus on right hemiplegia. J Phys Ther Sci, 2016, 28(9): 2565-2567.
2. 熊文君. 中频治疗仪治疗脑卒中偏瘫早期肢体功能障碍患者的临床效果. 医疗装备, 2019, 32(10): 112-113.
3. 侯红, 王彤, 范亚蓓, 等. 上肢智能反馈结合任务导向性活动训练对偏瘫患者上肢功能的影响. 中华物理医学与康复杂志, 2017, 39(3): 191-193.
4. 袁淑娟, 徐勇, 刘爱玲, 等. 上肢康复机器人训练对脑卒中注意力障碍病人生活自理能力的影响. 中西医结合心脑血管病杂志, 2017, 15(15): 1924-1927.
5. 中华医学会神经病学分会, 中华医学会神经病学分会脑血管病学组. 中国急性缺血性脑卒中诊治指南2018. 中华神经科杂志, 2018, 51(9): 666-682.
6. Park SD, Kim JY, Song HS. Effect of application of transcranial direct current stimulation during task-related training on gait ability of patients with stroke. J Phys Ther Sci, 2015, 27(3): 623-625.
7. 庞文君, 张雷, 吴博, 等. 计算机手功能训练联合任务导向性训练对脑卒中偏瘫上肢功能的影响. 中国康复医学杂志, 2015, 30(10): 1037-1040.
8. Saposnik G, Teasell R, Mamdani M, et al. Effectiveness of virtual reality using Wii gaming technology in stroke rehabilitation: a pilot randomized clinical trial and proof of principle. Stroke, 2010, 41(7): 1477-1484.
9. 刘树利, 王亚丽, 卢潇帅, 等. 上肢机器人训练疗法对脑卒中偏瘫患者上肢功能恢复的影响. 按摩与康复医学, 2016, 7(1): 24-25.
10. 李冰洁, 李芳. 虚拟现实康复技术在脑卒中后上肢运动障碍中的应用进展. 中国现代神经疾病杂志, 2017, 17(4): 245-248.
11. 万雪莉, 尹清. 神经发育治疗技术在脑卒中偏瘫患者康复治疗中的应用. 现代医药卫生, 2014, 30(24): 3797-3798.
12. 苏琦, 徐德恩. 中频脉冲电疗联合激光穴位照射对缺血性脑卒中患者肢体功能康复的影响. 广西医科大学学报, 2019, 36(6): 989-992.
13. French B, Thomas LH, Leathley MJ, et al. Repetitive task training for improving functional ability after stroke. Cochrane Database Syst Rev, 2007(4): CD006073.
14. 张淑娴, 郑雅丹, 李鑫, 等. 智能运动反馈训练在脑卒中恢复期偏瘫患者手及上肢功能康复中的应用. 中国康复医学杂志, 2019, 34(10): 1183-1187.
15. Kim WS, Cho S, Park SH, et al. A low cost kinect-based virtual rehabilitation system for inpatient rehabilitation of the upper limb in patients with subacute stroke: a randomized, double-blind, sham-controlled pilot trial. Medicine (Baltimore), 2018, 97(25): e11173.
16. 刘震, 张盘德, 容小川, 等. 上肢机器人治疗联合肌电生物反馈对急性脑卒中患者上肢功能的影响. 中华物理医学与康复杂志, 2014, 36(7): 523-526.
17. 杨云珠. 神经肌肉电刺激技术在改善40例脑卒中偏瘫患者生活质量中的应用. 上海医药, 2016, 37(21): 40-43.
18. 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): 636-644.
19. 赵一瑾, 余彬, 何龙龙, 等. 虚拟现实技术结合作业治疗训练对脑卒中偏瘫患者上肢功能影响的临床研究. 中国康复医学杂志, 2019, 34(6): 661-666.

West China Medical Journal

Effect of virtual scene simulation training combined with midium frequency impulse electrotherapy on upper limb function of hemiplegic patients

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