多维视觉手功能康复定量评估系统在脑卒中患者手功能评估中的可行性研究

doi:10.3969/j.issn.1006-9771.2018.12.004

《中国康复理论与实践》 ›› 2018, Vol. 24 ›› Issue (12): 1380-1383.doi: 10.3969/j.issn.1006-9771.2018.12.004

• 专题脑卒中后上肢和手功能康复 • 上一篇下一篇

多维视觉手功能康复定量评估系统在脑卒中患者手功能评估中的可行性研究

付江红¹, 陈树耿¹, 钱叶叶², 陆小锋³, 龙海生⁴, 崔晓⁵, 贾杰¹

1.复旦大学附属华山医院康复医学科,上海市 200040;
2.复旦大学附属浦东医院康复医学科,上海市 200135;
3.上海大学通信与信息工程学院,上海市 200444;
4.上海市闵行区马桥社区卫生服务中心,上海市 201111;
5.上海市长宁区天山中医医院康复医学科,上海市 200051

收稿日期:2018-09-06 修回日期:2018-10-08 出版日期:2018-12-25 发布日期:2019-01-04
通讯作者: 贾杰。E-mail: shannonjj@126.com
作者简介:付江红(1994-),女,汉族,安徽五河县人,硕士研究生,医师,主要研究方向：脑损伤后手功能障碍的康复机制与临床应用研究。
基金资助:
1.上海市科委课题(No. 15441901601; No. 16441905303); 2.国家高技术研究发展计划(863计划)项目(No. SS2015AA020501); 3.上海闵行区自然科学研究课题(No. 2017MHZ27)

Feasibility of Multi-dimensional Visual Hand Function Rehabilitation Quantitative Assessment System in Assessing Hand Function for Stroke Patients

FU Jiang-hong¹, CHEN Shu-geng¹, QIAN Ye-ye², LU Xiao-feng³, LONG Hai-sheng⁴, CUI Xiao⁵, JIA Jie¹

1. Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China;
2. Department of Rehabilitation Medicine, Pudong Hospital, Fudan University, Shanghai 200135, China;
3. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China;
4. Maqiao Community Healthcare Center of Minhang District, Shanghai 201111, China;
5. Department of Rehabilitation, Tianshan Traditional Chinese Medicine Hospital, Shanghai 200051, China

Received:2018-09-06 Revised:2018-10-08 Published:2018-12-25 Online:2019-01-04
Contact: JIA Jie. E-mail: shannonjj@126.com
Supported by:
Shanghai Science and Technology Commission Project (No. 15441901601; No. 16441905303), National High Technology Research and Development Program of China (No. SS2015AA020501) and Natural Science Research Project of Shanghai Minhang District (No. 2017MHZ27)

摘要/Abstract

摘要： 目的探讨多维视觉手功能康复定量评估系统用于脑卒中患者手功能评估的可行性。方法 2017年11月至2018年7月,17例脑卒中住院患者分别采用Fugl-Meyer评定量表进行上肢和手运动功能评估,同时采用多维评估系统进行前臂、腕和手运动功能评估。结果多维评估系统评估结果与Fugl-Meyer评定量表评分呈正相关(r = 0.609, P = 0.010)。结论多维视觉手功能康复定量评估系统可用于定量评估脑卒中患者上肢和手功能。

关键词: 脑卒中, 手, 上肢, 评定, 多维视觉手功能康复定量评估系统

Abstract: Objective To investigate the feasibility of Multi-dimensional Visual Hand Function Rehabilitation Quantitative Assessment System in the assessment of hand function for stroke patients. Methods From November, 2017 to July, 2018, 17 stroke inpatients were assessed with Fugl-Meyer Assessment-upper extremities (FMA-UE) and the Multi-dimensional Assessment System. Results The results of Multi-dimensional Assessment System positively correlated with the score of FMA-UE (r = 0.609, P = 0.010). Conclusion The Multi-dimensional Visual Hand Function Rehabilitation Quantitative Assessment System can be used to assess the hand function for stroke patients quantitatively.

Key words: stroke, hand, upper extremities, assessment, Multi-dimensional Visual Hand Function Rehabilitation Quantitative Assessment System

中图分类号:

R743.3

付江红, 陈树耿, 钱叶叶, 陆小锋, 龙海生, 崔晓, 贾杰. 多维视觉手功能康复定量评估系统在脑卒中患者手功能评估中的可行性研究[J]. 《中国康复理论与实践》, 2018, 24(12): 1380-1383.

FU Jiang-hong, CHEN Shu-geng, QIAN Ye-ye, LU Xiao-feng, LONG Hai-sheng, CUI Xiao, JIA Jie. Feasibility of Multi-dimensional Visual Hand Function Rehabilitation Quantitative Assessment System in Assessing Hand Function for Stroke Patients[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2018, 24(12): 1380-1383.

参考文献

[1] Winstein CJ, Stein J, Arena R, et al.Guidelines for Adult Stroke Rehabilitation and Recovery: A Guideline for Healthcare Professionals from the American Heart Association/American Stroke Association[J]. Stroke, 2016, 47(6): e98-e169.
[2] Bustamante A, García-Berrocoso T, Rodriguez N, et al.Ischemic stroke outcome: a review of the influence of post-stroke complications within the different scenarios of stroke care[J]. Eur J Intern Med, 2016, 29: 9-21.
[3] 吴亚哲,陈伟伟. 中国脑卒中流行概况[J]. 心脑血管病防治, 2016, 16(6): 410-414.
[4] Baricich A, Picelli A, Molteni F, et al.Post-stroke spasticity as a condition: a new perspective on patient evaluation[J]. Funct Neurol, 2016, 31(3): 179-180.
[5] Mcentire CR, Choudhury GR, Torres A, et al.Impaired arm function and finger dexterity in a nonhuman primate model of stroke: motor and cognitive assessments[J]. Stroke, 2016, 47(4): 1109-1116.
[6] 贾杰. 脑卒中后手功能康复应评价和治疗并重[J]. 上海医药, 2014, 35(2): 6-9.
[7] Lee S, Lee YS, Kim J.Automated evaluation of upper-limb motor function impairment using Fugl-Meyer Assessment[J]. IEEE Trans Neural Syst Rehabil Eng, 2018, 26(1): 125-134.
[8] Huang CY, Lin GH, Huang YJ, et al.Improving the utility of the Brunnstrom recovery stages in patients with stroke: validation and quantification[J]. Medicine (Baltimore), 2016, 95(31): e4508.
[9] Page SJ, Fulk GD, Boyne P.Clinically important differences for the upper-extremity Fugl-Meyer Scale in people with minimal to moderate impairment due to chronic stroke[J]. Phys Ther, 2012, 92(6): 791-798.
[10] Pandian S, Arya KN.Stroke-related motor outcome measures: do they quantify the neurophysiological aspects of upper extremity recovery?[J]. J Bodyw Mov Ther, 2014, 18(3): 412-423.
[11] Lundquist CB, Maribo T.The Fugl-Meyer assessment of the upper extremity: reliability, responsiveness and validity of the Danish version[J]. Disabil Rehabil, 2017, 39(9): 934-939.
[12] 中华神经科学会,中华神经外科学会. 各类脑血管疾病诊断要点[J]. 中华神经科杂志, 1996, 29(6): 379-380.
[13] 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.
[14] 陆雅婷,陆小锋,王聪,等. 基于手功能评估系统的“腕背伸”动作定量评估[J]. 电子测量技术, 2017, 40(10): 127-133.
[15] Soekadar SR, Witkowski M, Birbaumer N, et al.Enhancing Hebbian learning to control brain oscillatory activity[J]. Cereb Cortex, 2015, 25(9): 2409-2415.
[16] Wilk HA, Morton JB.Developmental changes in patterns of brain activity associated with moment-to-moment adjustments in control[J]. Neuroimage, 2012, 63(1): 475-484.
[17] Bütefisch CM, Wessling M, Netz J, et al.Relationship between interhemispheric inhibition and motor cortex excitability in subacute stroke patients[J]. Neurorehabil Neural Repair, 2008, 22(1): 4-21.
[18] McDonnell MN, Stinear CM. TMS measures of motor cortex function after stroke: a meta-analysis[J]. Brain Stimul, 2017, 10(4): 721-734.
[19] Kubis N.Non-invasive brain stimulation to enhance post-stroke recovery[J]. Front Neural Circuits, 2016, 10: 56.
[20] 贾杰. “上下肢一体化”整体康复:脑卒中后手功能康复新理念[J]. 中国康复理论与实践, 2017, 23(1): 1-3.
[21] Li KK, Harvey LA, Diong JHL, et al.Half of the adults who present to hospital with stroke develop at least one contracture within six months: an observational study[J]. J Physiother, 2012, 58(1): 41-47.
[22] McPherson JG, Chen A, Ellis MD, et al. Progressive recruitment of contralesional cortico-reticulospinal pathways drives motor impairment post stroke[J]. J Physiol, 2018, 596(7): 1211-1225.
[23] Bhadane M, Liu J, Rymer WZ, et al.Re-evaluation of EMG-torque relation in chronic stroke using linear electrode array EMG recordings[J]. Sci Rep, 2016, 6: 28957.
[24] Wintermark M, Sanelli PC, Anzai Y, et al.Imaging evidence and recommendations for traumatic brain injury: advanced neuro- and neurovascular imaging techniques[J]. Am J Neuroradiol, 2015, 36(2): E1-E11.
[25] Lee WJ, Jung KH, Ryu YJ, et al.Progression of cerebral white matter hyperintensities and the associated sonographic index[J]. Radiology, 2017, 284(3): 824-833.
[26] Dias CP, Freire B, Goulart NB, et al.Muscle architecture and torque production in stroke survivors: an observational study[J]. Top Stroke Rehabil, 2017, 24(3): 206-213.

多维视觉手功能康复定量评估系统在脑卒中患者手功能评估中的可行性研究

Feasibility of Multi-dimensional Visual Hand Function Rehabilitation Quantitative Assessment System in Assessing Hand Function for Stroke Patients

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	林娜, 高菡璐, 卢惠苹, 陈燕清, 郑军凡, 陈述荣. 虚拟现实技术对脑卒中上肢功能影响的弥散张量成像研究[J]. 《中国康复理论与实践》, 2024, 30(1): 61-67.
[2]	王昊懿, 史亚伟, 鲁俊, 许光旭. 主观垂直感知障碍对脑卒中患者功能影响的回顾性研究[J]. 《中国康复理论与实践》, 2024, 30(1): 68-73.
[3]	陈珺雯, 陈谦, 陈程, 李淑月, 刘玲玲, 吴存书, 龚翔, 鲁俊, 许光旭. 改良八段锦身体活动对脑卒中患者心肺功能、运动功能和日常生活活动能力的效果[J]. 《中国康复理论与实践》, 2024, 30(1): 74-80.
[4]	胡永林, 马颖, 窦超, 陆安民, 江小鸽, 宋新建, 肖玉华. 肩部控制训练联合神经松动术对脑卒中偏瘫患者肩痛及上肢功能的效果[J]. 《中国康复理论与实践》, 2024, 30(1): 81-86.
[5]	毕小羽, 朱笑彤, 朱飞龙, 匡冬青, 宋以玲, 范碧瑶, 任园春. 注意缺陷多动障碍学龄儿童精细动作技能的性别差异[J]. 《中国康复理论与实践》, 2023, 29(9): 1029-1034.
[6]	王贺, 韩靓, 阚梦凡, 于少泓. 电刺激治疗脑卒中后肩手综合征有效性的系统评价与Meta分析[J]. 《中国康复理论与实践》, 2023, 29(9): 1048-1056.
[7]	孙藤方, 任梦婷, 杨琳, 王耀霆, 王红雨, 闫兴洲. 高压氧治疗联合重复外周磁刺激干预脑卒中患者踝运动功能和平衡能力的效果[J]. 《中国康复理论与实践》, 2023, 29(8): 875-881.
[8]	王亚楠, 刘西花. 脑卒中偏瘫患者主观和客观平衡功能测量的相关性及预测效能[J]. 《中国康复理论与实践》, 2023, 29(8): 890-895.
[9]	王海云, 王寅, 周信杰, 何爱群. 基于“中枢-外周-中枢”理论的经颅直流电刺激结合针刺干预脑卒中患者中枢及上肢功能的效果[J]. 《中国康复理论与实践》, 2023, 29(8): 919-925.
[10]	陈怡婷, 王倩, 崔慎红, 李映彩, 张思鈺, 魏衍旭, 任慧, 冷军, 陈斌. 双侧序贯重复经颅磁刺激干预脑卒中患者上肢运动功能的效果[J]. 《中国康复理论与实践》, 2023, 29(8): 926-932.
[11]	李振亚, 孙洁, 郭鹏飞, 王光明. 脑卒中患者口期和咽期吞咽功能改变与误吸的相关性：基于电视透视吞咽检查[J]. 《中国康复理论与实践》, 2023, 29(8): 933-939.
[12]	华玲, 张一楠, 郑玉, 孙俏仪, 房辉, 宋达. 手控节律音乐治疗对脑卒中后单侧空间忽略的效果[J]. 《中国康复理论与实践》, 2023, 29(7): 833-838.
[13]	蒋孝翠, 刘臻, 苏清伦, 赵秦, 夏晓昧, 陆飞. 间歇性Theta节律经颅磁刺激对脑卒中后非流利性失语的影响[J]. 《中国康复理论与实践》, 2023, 29(7): 839-843.
[14]	张瑞明, 王凯, 尹锐, 王海亮, 莫言. 失重条件下舱外手套外骨骼助力效果的评估方法[J]. 《中国康复理论与实践》, 2023, 29(7): 856-861.
[15]	许苗苗, 李楠, 应颖, 杨凯翔, 杨婧瑞, 李杰, 邱彦群. 重复外周磁刺激对左右颈7神经交叉移位术后脑卒中患者上肢运动功能的效果[J]. 《中国康复理论与实践》, 2023, 29(6): 686-690.