51黑料吃瓜在线观看,51黑料官网|51黑料捷克街头搭讪_51黑料入口最新视频

設(shè)為首頁 |  加入收藏
首頁首頁 期刊簡介 消息通知 編委會 電子期刊 投稿須知 廣告合作 聯(lián)系我們
基于虛擬現(xiàn)實的下肢機器人多任務(wù)步態(tài)訓(xùn)練平臺在早期偏癱患者中的應(yīng)用

Application of multi-task gait training platform of lower limb robot based on virtual reality in patients with early hemiplegia

作者: 馬良飛  何蓬莉  曾西西  王蕊  尹翎 
單位:中國五冶集團有限公司醫(yī)院康復(fù)醫(yī)學(xué)科 (四川成都 610000)<br />通信作者:尹翎。E-mail:[email protected]
關(guān)鍵詞: 虛擬現(xiàn)實;下肢機器人;多任務(wù);可穿戴設(shè)備;眼動儀 
分類號:R318.01&nbsp;
出版年·卷·期(頁碼):2022·41·5(495-499)
摘要:

目的 觀察基于虛擬現(xiàn)實的下肢機器人多任務(wù)步態(tài)訓(xùn)練平臺在早期偏癱患者中的應(yīng)用效果。方法 選取50例腦卒中患者,隨機分為改良組、對照組各25例。對照組采用單純的下肢機器人訓(xùn)練,改良組采用融入虛擬現(xiàn)實技術(shù)、眼動/平衡訓(xùn)練技術(shù)、非侵入神經(jīng)調(diào)控技術(shù)、可穿戴設(shè)備(表面肌電圖+近紅外光腦成像)、遠(yuǎn)程診療的下肢機器人。兩組干預(yù)9周,觀察Fugl-meyer下肢運動功能評定表(Fugl-meyer assessment,FMA)、Berg平衡量表(Berg balance scale ,BBS)、改良Barthel指數(shù)(modified Barthel index ,MBI)、Holden步行功能分級。結(jié)果 兩組患者在治療前后進行FMA評分、BBS評分、MBI指數(shù)評定,9周后兩組在上述指標(biāo)與治療前相比,差異均有統(tǒng)計學(xué)意義(P <0.05);而組間比較,而改良組在FMA評分、BBS評分、MBI指數(shù)評分均優(yōu)于對照組,差異有統(tǒng)計學(xué)意義(P <0.05)。在Holden步行功能分級方面,治療后9周后兩組在Holden分級與治療前有統(tǒng)計學(xué)意義(P <0.05);而組間比較,而改良組在優(yōu)于對照組,差異有統(tǒng)計學(xué)意義(P <0.05)。結(jié)論 基于虛擬現(xiàn)實的下肢機器人多任務(wù)步態(tài)訓(xùn)練平臺,能夠?qū)崿F(xiàn)視聽多感官、多通道刺激和訓(xùn)練,通過眼球運動捕捉建立自適應(yīng)算法;并在傳統(tǒng)下肢機器人的步態(tài)參數(shù)采集基礎(chǔ)上,融入sEMG和fNIRS的肌電參數(shù)、血紅蛋白濃度變化,進行多指標(biāo)的同步監(jiān)測,最終實現(xiàn)具有自適應(yīng)功能的、可調(diào)整、優(yōu)化、更新訓(xùn)練方案的智能技術(shù),提高干預(yù)療效。

Objective To observe the application effect of a multi-task gait training platform for lower limb robots based on virtual reality in patients with early hemiplegia. Methods Fifty stroke patients were selected and randomly divided into modified group and control group with 25 cases each. The control group used simple lower-limb robot training, and the modified group used the improved the original lower-limb robot that was integrated virtual reality technology, eye movement/balance training technology, non-invasive neuromodulation technology, wearable equipment (surface electromyography + near-infrared light Brain imaging), remote diagnosis and treatment. The two groups were intervened for 9 weeks, and the Fugl-meyer lower limb motor function assessment scale (FMA), Berg balance scale (BBS), modified Barthel index (MBI), and Holden walking function classification were observed.  Results The two groups of patients were assessed by FMA score, BBS score, and MBI index before and after treatment. After 9 weeks, the differences in the above indicators between the two groups were statistically significant (P <0.05); and the comparison between groups. The improved group was better than the control group in FMA score, BBS score, MBI index score, and the difference was statistically significant (P <0.05). In terms of Holden walking function classification, the Holden classification of the two groups after 9 weeks after treatment was statistically significant (P <0.05); while the comparison between the groups, the improved group was better than the control group, and the difference was statistically significant ( P <0.05). Conclusions Based on traditional lower-limb robots, this research has improved a virtual reality-based multi-task gait training platform for lower-limb robots, which can realize multi-sensory, multi-channel stimulus and training through audiovisual and eye movements. Based on the acquisition of gait parameters, the changes in electromyographic parameters and hemoglobin concentration of sEMG and fNIRS are incorporated, and multiple indicators are simultaneously monitored. Finally, an intelligent technology with adaptive function, adjustable, optimized, and updated training program is realized, and the intervention is improved. 

參考文獻:

[1]王亞東,葉頔.針灸聯(lián)合康復(fù)訓(xùn)練對腦卒中偏癱患者下肢功能恢復(fù)的影響[J].神經(jīng)損傷與功能重建,2019,14(2):102-103.
[2]張力新,常美榕,王仲朋,等.基于經(jīng)顱電、磁刺激神經(jīng)調(diào)控方法的卒中康復(fù)研究進展[J].北京生物醫(yī)學(xué)工程,2021,40(2):190-197.
Zhang LX,Chang MR,Wang ZP,et al.Research progress of stroke rehabilitation based on transcranial electrical and magnetic stimulation[J].Beijing Biomedical Engineering,2021,40(2):190-197.
[3]張薇,范宇威,高靜,等.腦卒中流行病學(xué)調(diào)查相關(guān)文獻復(fù)習(xí)[J].中國臨床神經(jīng)科學(xué),2014.22(6):699-703.
Zhang W, Fan YW, Gao J, etc.Stroke Epidemiological investigation with literature review[J]. Chinese Clinical Neuroscience, 2014,22 (6): 699-703.
[4]趙冬.我國人群腦卒中發(fā)病率、死亡率的流行病學(xué)研究[J].中華流行病學(xué)雜志,2003,24(3):236-239.
[5]冀磊磊,闞秀麗,周云,等.數(shù)字化跑臺訓(xùn)練對腦卒中患者步行能力的影響[J].生物醫(yī)學(xué)工程與臨床,2020,24(4):446-449.
Ji LL, Kan XL, Zhou Y, et al. Effects of digital treadmill training on walking ability of stroke patients[J]. Biomedical Engineering and Clinic,2020,24(4):446-449.
[6]李春鎮(zhèn),眭眀紅,于力爭,等.基于行走模式功能性電刺激對腦卒中恢復(fù)期患者步態(tài)調(diào)控的研究[J].中國康復(fù)醫(yī)學(xué)雜志,2019,34(5):562-565.
[7]徐飛,佀國寧,程云章,等.下肢康復(fù)機器人結(jié)構(gòu)設(shè)計的研究進展[J].北京生物醫(yī)學(xué)工程,2018,37(1):96-102.
Xu F, Tu GN, Cheng YZ, et al. Research advances in structural design of lower limb rehabilitation robot[J].Beijing Biomedical Engineering,2018,37(1):96-102.
[8]Muller F,Heller S.Krewer C,eta1.Effective gait training on the treadmill and the Lokomat:comparison of achievable training time and speed[J]. Journal of Neurologic Rehabilitation,2004.4:27-31.
[9]范燕紅,華飛,張嵐.多奈哌齊與康復(fù)訓(xùn)練聯(lián)合干預(yù)對卒中后血管性認(rèn)知障礙患者認(rèn)知功能日常生活活動能力及血清相關(guān)蛋白酶的影響[J].中國藥物與臨床,2020,20(02):264-266.
[10]徐博然,陳惠君.步態(tài)運動想象療法對腦卒中偏癱患者步行功能的影響[J].解放軍護理雜志,2019,36(5):16-20.
Xu BR,Chen HJ.Effect of Gait Imagery The rapy on Walking Function in Hemiplegic Patients after Strok[J].Journal of Nursing of Chinese People's Liberation Army,2019,36(5):16-20.
[11]滕樹利,張芳,吳月峰.虛擬現(xiàn)實技術(shù)對腦卒中偏癱患者平衡功能的影響[J].中國康復(fù)醫(yī)學(xué)雜志,2019,34(8):932-936.
Teng SL,Zhang F,Wu YF.The effect of virtual reality technology on the balance function of stroke patients with hemiplegia[J].Chinese Journal of Rehabilitation Medicine,2019,34(8):932-936.
[12]方麗涌,鄭雙意.康復(fù)數(shù)字化平臺對北京市社區(qū)腦卒中患者ADL的影響[J].中國數(shù)字醫(yī)學(xué),2019,14(6):31-33.
Fang LY,Zheng SY.The Effect of the digital rehabilitation platform on ADL of stroke patients in Beijing communities [J].China Digital Medicine,2019,14(6):31-33.
[13]鄭彩娥,李秀云.實用康復(fù)護理學(xué)[M].北京: 人民衛(wèi)生出版社,2012: 147.
[15]王小勇,過克方,黃建.下肢步態(tài)康復(fù)機器人的研究綜述[J].中外健康文摘,2012,25(10):942-952.
[16]Prange GB,Jannink MJ,Groothuis.Oudshoorn CG.et a1.Systematic review of the effect of robot—aided therapy on recovery of the hemiparetie Ⅻafter stroke[J]. Journal of Rehabilitation Research and Development,2006,43:171-184.
[17]Johnson MJ.Recent trends in robot assisted thempy environmente to improve real-life functional performance after stroke[J]. Journal of Neurologic Rehabilitation ,2006,3:29-31.
[18]Amirabdollahian F,Loureeire R,Gradwell E,et a1.Multivariate analysis of the Fugl-Meyer outcome measures assessing the effectiveness of gentles robot-mediated stroke therapy[J]. Journal of Neurologic Rehabilitation ,2007,4:4-7.
[19]趙雅寧,郝正瑋,李建民,等.下肢康復(fù)訓(xùn)練機器人對缺血性腦卒中偏癱患者平衡及步行功能的影響[J].中國康復(fù)醫(yī)學(xué)雜志,2012,27(11):1015-1020.
Zhao YN, Hao ZW, Li JM, et al. The effect of Lokomat lower limb gait training rehabilitation robot on balance function and walking ability in hemiplegic patients after ischemic stroke[J].Chinese Journal of Rehabilitation Medicine,2012,27(11):1015-1020.
[20]劉洋,楊潔瑩,顏逗逗,等.早期應(yīng)用下肢步行康復(fù)機器人訓(xùn)練對腦卒中后偏癱患者下肢運動功能的影響[J].按摩與康復(fù)醫(yī)學(xué),2020,11(4):23-25.
Liu Y, Yang JY, Yan DD, et al. The Effect of robot-assisted walking system in early walking ability of hemiplegic patients after stroke[J].Chinese Manipulation and Rehabilitation Medicine,2020,11(4):23-25.

服務(wù)與反饋:
文章下載】【加入收藏
提示:您還未登錄,請登錄!點此登錄
 
友情鏈接  
地址:北京安定門外安貞醫(yī)院內(nèi)北京生物醫(yī)學(xué)工程編輯部
電話:010-64456508  傳真:010-64456661
電子郵箱:[email protected]