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. 中頻治療儀治療腦卒中偏癱早期肢體功能障礙患者的臨床效果. 醫療裝備, 2019, 32(10): 112-113.
3.	侯紅, 王彤, 范亞蓓, 等. 上肢智能反饋結合任務導向性活動訓練對偏癱患者上肢功能的影響. 中華物理醫學與康復雜志, 2017, 39(3): 191-193.
4.	袁淑娟, 徐勇, 劉愛玲, 等. 上肢康復機器人訓練對腦卒中注意力障礙病人生活自理能力的影響. 中西醫結合心腦血管病雜志, 2017, 15(15): 1924-1927.
5.	中華醫學會神經病學分會, 中華醫學會神經病學分會腦血管病學組. 中國急性缺血性腦卒中診治指南2018. 中華神經科雜志, 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.	龐文君, 張雷, 吳博, 等. 計算機手功能訓練聯合任務導向性訓練對腦卒中偏癱上肢功能的影響. 中國康復醫學雜志, 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.	劉樹利, 王亞麗, 盧瀟帥, 等. 上肢機器人訓練療法對腦卒中偏癱患者上肢功能恢復的影響. 按摩與康復醫學, 2016, 7(1): 24-25.
10.	李冰潔, 李芳. 虛擬現實康復技術在腦卒中后上肢運動障礙中的應用進展. 中國現代神經疾病雜志, 2017, 17(4): 245-248.
11.	萬雪莉, 尹清. 神經發育治療技術在腦卒中偏癱患者康復治療中的應用. 現代醫藥衛生, 2014, 30(24): 3797-3798.
12.	蘇琦, 徐德恩. 中頻脈沖電療聯合激光穴位照射對缺血性腦卒中患者肢體功能康復的影響. 廣西醫科大學學報, 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.	張淑嫻, 鄭雅丹, 李鑫, 等. 智能運動反饋訓練在腦卒中恢復期偏癱患者手及上肢功能康復中的應用. 中國康復醫學雜志, 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.	劉震, 張盤德, 容小川, 等. 上肢機器人治療聯合肌電生物反饋對急性腦卒中患者上肢功能的影響. 中華物理醫學與康復雜志, 2014, 36(7): 523-526.
17.	楊云珠. 神經肌肉電刺激技術在改善40例腦卒中偏癱患者生活質量中的應用. 上海醫藥, 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.	趙一瑾, 余彬, 何龍龍, 等. 虛擬現實技術結合作業治療訓練對腦卒中偏癱患者上肢功能影響的臨床研究. 中國康復醫學雜志, 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. 中頻治療儀治療腦卒中偏癱早期肢體功能障礙患者的臨床效果. 醫療裝備, 2019, 32(10): 112-113.
3. 侯紅, 王彤, 范亞蓓, 等. 上肢智能反饋結合任務導向性活動訓練對偏癱患者上肢功能的影響. 中華物理醫學與康復雜志, 2017, 39(3): 191-193.
4. 袁淑娟, 徐勇, 劉愛玲, 等. 上肢康復機器人訓練對腦卒中注意力障礙病人生活自理能力的影響. 中西醫結合心腦血管病雜志, 2017, 15(15): 1924-1927.
5. 中華醫學會神經病學分會, 中華醫學會神經病學分會腦血管病學組. 中國急性缺血性腦卒中診治指南2018. 中華神經科雜志, 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. 龐文君, 張雷, 吳博, 等. 計算機手功能訓練聯合任務導向性訓練對腦卒中偏癱上肢功能的影響. 中國康復醫學雜志, 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. 劉樹利, 王亞麗, 盧瀟帥, 等. 上肢機器人訓練療法對腦卒中偏癱患者上肢功能恢復的影響. 按摩與康復醫學, 2016, 7(1): 24-25.
10. 李冰潔, 李芳. 虛擬現實康復技術在腦卒中后上肢運動障礙中的應用進展. 中國現代神經疾病雜志, 2017, 17(4): 245-248.
11. 萬雪莉, 尹清. 神經發育治療技術在腦卒中偏癱患者康復治療中的應用. 現代醫藥衛生, 2014, 30(24): 3797-3798.
12. 蘇琦, 徐德恩. 中頻脈沖電療聯合激光穴位照射對缺血性腦卒中患者肢體功能康復的影響. 廣西醫科大學學報, 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. 張淑嫻, 鄭雅丹, 李鑫, 等. 智能運動反饋訓練在腦卒中恢復期偏癱患者手及上肢功能康復中的應用. 中國康復醫學雜志, 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. 劉震, 張盤德, 容小川, 等. 上肢機器人治療聯合肌電生物反饋對急性腦卒中患者上肢功能的影響. 中華物理醫學與康復雜志, 2014, 36(7): 523-526.
17. 楊云珠. 神經肌肉電刺激技術在改善40例腦卒中偏癱患者生活質量中的應用. 上海醫藥, 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. 趙一瑾, 余彬, 何龍龍, 等. 虛擬現實技術結合作業治療訓練對腦卒中偏癱患者上肢功能影響的臨床研究. 中國康復醫學雜志, 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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