近10年康复辅助器具相关研究的可视化分析

doi:10.3969/j.issn.1006-9771.2022.05.015

《中国康复理论与实践》 ›› 2022, Vol. 28 ›› Issue (5): 593-601.doi: 10.3969/j.issn.1006-9771.2022.05.015

近10年康复辅助器具相关研究的可视化分析

罗君^1a,黄欢欢^1b,王俊^1b,杨力凝^1c,肖明朝^1a()

1.重庆医科大学附属第一医院,a.泌尿外科；b.护理部；c.康复医学科,重庆市 400016

收稿日期:2022-01-05 修回日期:2022-04-27 出版日期:2022-05-25 发布日期:2022-06-10
通讯作者: 肖明朝 E-mail:xmz.2004@163.com
作者简介:罗君(1998-),女,汉族,四川成都市人,硕士研究生,主要研究方向：康复护理
基金资助:
1. 国家重点研发计划项目(2020YFC2005900);2. 川渝联合实施重点研发项目(cstc2020jscx-cylhX002)

Researches about assistive devices in recent ten years: a visual analysis

LUO Jun^1a,HUANG Huanhuan^1b,WANG Jun^1b,YANG Lining^1c,XIAO Mingchao^1a()

1. a. Urology Department; b. Nursing Department; c. Rehabilitation Medicine Department, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

Received:2022-01-05 Revised:2022-04-27 Published:2022-05-25 Online:2022-06-10
Contact: XIAO Mingchao E-mail:xmz.2004@163.com
Supported by:
National Key Research and Development Program of China(2020YFC2005900);Key Research and Development Program Jointly Implemented by Sichuan and Chongqing(cstc2020jscx-cylhX002)

摘要/Abstract

摘要：

目的分析近10年康复辅助器具领域国内外研究现状、研究热点和趋势。方法检索2012至2021年中国知网和Web of Science (WoS)数据库核心合集相关文献。应用CiteSpace及VOSviewer可视化分析作者、国家/地区、机构、研究热点及趋势。结果与结论 国内外年发文量均呈逐年上升趋势。国内发文最多的团队为喻洪流团队,发文最多的机构为中国残疾人辅助器具中心。国外发文最多的团队为Maysam G团队,发文最多的机构为匹兹堡大学。国家发文量最多及中介中心性最高的是美国。国内外康复辅助器具相关研究热点主要集中于康复辅助器具产品的设计与研发、康复辅助器具在特殊/脆弱人群中的应用、康复辅助器具及其相关专业服务的应用效果研究;预测基于智能感知、类脑计算、深度学习及虚拟/增强现实的智能辅助器具产品设计研发及应用研究是本领域的发展趋势。

关键词: 辅助器具, 康复, 知识图谱, 可视化分析

Abstract:

Objective To analyze the research status, research hotspots and trends at home and abroad in the field of rehabilitation assistive devices in the past ten years. Methods The relevant articles of rehabilitation assistive devices from 2012 to 2021 in CNKI and Web of Science (WoS) core collection database were retrieved. The authors, countries, institutions, research hotspots, and trends were extracted with CiteSpace and VOSviewer to draw knowledge mapping. Results and Conclusion The annual articles published at home and abroad has shown an upward trend year by year. The team with the most articles in China is the Yu Hongliu team, and the institution with the most articles is China Assistive Devices and Technology Center for Persons with Disablities. The team with the most foreign articles is the Maysam G team, and the institution with the most articles is the University of Pittsburgh. The United States has the largest number of literatures and the highest intermediary centrality. Research hotspots related to rehabilitation assistive devices at domestic and abroad mainly focus on the design and development of rehabilitation assistive device products, the application of rehabilitation assistive devices in special/vulnerable populations, the application effect of rehabilitation assistive devices and related professional services; the development trend of intelligent assistive device product design and application research based on intelligent perception, brain-like computing, deep learning and virtual/augmented reality is predicted.

Key words: assistive devices, rehabilitation, knowledge mapping, visual analysis

中图分类号:

R496

罗君,黄欢欢,王俊,杨力凝,肖明朝. 近10年康复辅助器具相关研究的可视化分析[J]. 《中国康复理论与实践》, 2022, 28(5): 593-601.

LUO Jun,HUANG Huanhuan,WANG Jun,YANG Lining,XIAO Mingchao. Researches about assistive devices in recent ten years: a visual analysis[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2022, 28(5): 593-601.

图/表 14

图1

图2

图3

图4

图5

图6

图7

表1

表2

图8

图9

图10

图11

图12

参考文献 45

[1]	中华人民共和国民政部. 康复辅助器具分类和术语GB/T 16432-2016 [S]. 2016.
	Ministry of Civil Affairs. Rehabilitation assistive devices classification and terminology[S]. GB/T 16432-2016 [S]. 2016.
[2]	白杨, 欧阳昭连, 杜然然, 等. 基于PEST模型的我国机构养老康复辅助器具发展现状及对策研究[J]. 中国医药导报, 2018, 15(8): 158-162.
	BAI Y, OUYANG Z L, DU R R, et al. Research about the development and strategy of assistive products for person with disability in institutional care of the elderly in China which is based on PEST model[J]. Chin Med Her, 2018, 15(8): 158-162.
[3]	姜静远, 邱卓英, 王国祥, 等. 世界卫生组织国际健康分类家族在康复中系统应用的方案与路线图[J]. 中国康复理论与实践, 2020, 26(11): 1241-1255.
	JIANG J Y, QIU Z Y, WANG G X, et al. Systematic Implementation of World Health Organization Family International Classifications in rehabilitation: protocol and roadmap[J]. Chin J Rehabil Theory Pract, 2020, 26(11): 1241-1255.
[4]	姜肖宇, 钱东福. 基于ICF的脑卒中吞咽障碍患者整体功能评估类目研究[J]. 中国康复, 2022, 37(1): 37-41.
	JIANG X Y, QIAN D F. Systematic functional assessment items based on ICF for patients with dysphagia after stroke[J]. Chin J Rehabil, 2022, 37(1): 37-41.
[5]	GRILL E, STUCKI G, 王朴, 等. 基于ICF核心分类集类目开发临床等级评定量表[J]. 中国康复理论与实践, 2011, 17(2): 110-114.
	GRILL E, STUCKI G, WANG P, et al. Scales could be developed based on simple clinical ratings of International Classification of Functioning, Disability and Health Core Set categories[J]. Chin J Rehabil Theory Pract, 2011, 17(2): 110-114.
[6]	朱图陵, 王保华. 论残疾、无障碍环境与辅助器具[J]. 残疾人研究, 2016(3): 37-42.
	ZHU T L, WANG B H. Research on relationship among disability, accessibility and assistive devices[J]. Disabil Res, 2016(3): 37-42.
[7]	World Health Organization. ICHI[EB/OL]. (2020-04-07) [2022-02-04]. https://mitel.dimi.uniud.it/ichi/#http://id.who.int/ichi/entity/244388739.
[8]	United Nations Organization Official Website. Ageing \| United Nations[EB/OL]. (2020-02-06) [2022-01-08]. https://www.un.org/en/global-issues/ageing.
[9]	World Health Organization. Disability and health[EB/OL]. (2021-11-24) [2022-01-08]. https://www.who.int/news-room/fact-sheets/detail/disability-and-health.
[10]	陈悦, 陈超美, 刘则渊, 等. CiteSpace知识图谱的方法论功能[J]. 科学学研究, 2015, 33(2): 242-253.
	CHEN Y, CHEN C M, LIU Z Y, et al. The methodology function of CiteSpace mapping knowledge domains[J]. Stud Sci Sci, 2015, 33(2): 242-253.
[11]	CHEN S, ZHANG Y, DAI W, et al. Publication trends and hot spots in postoperative cognitive dysfunction research: a 20-year bibliometric analysis[J]. J Clin Anesth, 2020, 67, 110012. doi: 10.1016/j.jclinane.2020.110012
[12]	齐星, 俞优莉, 李银丹, 等. 基于CiteSpace的高校课程思政研究热点及发展趋势分析[J]. 台州学院学报, 2021, 43(6): 18-25.
	QI X, YU Y L, LI Y D, et al. Research on hotspot and development trend of curriculum ideology and politics based on CiteSpace[J]. J Taizhou Univ, 2021, 43(6): 18-25.
[13]	LI X, LI H. A Visual analysis of research on information security risk by using CiteSpace[J]. IEEE Access, 2018, 6: 63243-63257. doi: 10.1109/ACCESS.2018.2873696
[14]	殷鸿琛, 闫述乾, 任珂, 等. 我国脱贫攻坚与乡村振兴有效衔接领域的知识图谱研究——基于CiteSpace的计量可视化分析[J]. 科技与经济, 2021, 34(6): 41-45.
	YIN H C, YAN S Q, REN K, et al. Knowledge mapping in the field of effective connection between poverty alleviation and rural revitalization in China-measurement visualization analysis based on CiteSpace[J]. Sci Technol Economy, 2021, 34(6): 41-45.
[15]	VAN-ECK N J, WALTMAN L. Software survey: VOSviewer, a computer program for bibliometric mapping[J]. Scientometr, 2010, 84(2): 523-538. doi: 10.1007/s11192-009-0146-3
[16]	张振扬, 千东毕. 国内外关于员工创新行为的研究现状与趋势——基于CiteSpace和VOSviewer的可视化分析[J]. 重庆交通大学学报(社会科学版), 2021, 21(6): 93-102.
	ZHANG Z Y, QIAN D B. Research status and trend of employee innovative behavior visualization analysis based on CiteSpace and VOSviewer[J]. J Chongqing Jiaotong Univ (Social Sciences Edition), 2021, 21(6): 93-102.
[17]	石燕, 何黎, 任秋静, 等. 中医体质知识图谱分析——基于VOSviewer和CiteSpace的计量分析[J]. 世界科学技术-中医药现代化, 2021, 9(23): 1-9.
	SHI Y, HE L, REN Q J, et al. Analysis of the knowledge graph of traditional Chinese medicine composition: a quantitative analysis based on VOSviewer and CiteSpace[J]. Modern Tradit Chin Med Mater Med-World Sci Technol, 2021, 9(23): 1-9.
[18]	毕有才, 张江伟, 龚亮. 近十年国内机构发表缺血性卒中研究的国际论文特征分析[J]. 中国脑血管病杂志, 2020, 17(5): 237-245.
	BI Y C, ZHANG J W, GONG L. Literature characteristic of ischemic stroke published in the international journal by Chinese institution in the last decade: a bibliometric analysis[J]. Chin J Cerebrovasc Dis, 2020, 17(5): 237-245.
[19]	CHEN C. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature[J]. J Am Soc Inf Sci Tec, 2006, 57(3): 359-377. doi: 10.1002/asi.20317
[20]	HOCHBERG L R, BACHER D, JAROSIEWICZ B, et al. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm[J]. Nature, 2012, 485(7398): 372-375. doi: 10.1038/nature11076
[21]	COLLINS S H, WIGGIN M B, SAWICKI G S. Reducing the energy cost of human walking using an unpowered exoskeleton[J]. Nature, 2015, 522(7555): 212-215. doi: 10.1038/nature14288
[22]	COLLINGER J L, WODLINGER B, DOWNEY J E, et al. High-performance neuroprosthetic control by an individual with tetraplegia[J]. Lancet, 2013, 381(9866): 557-564. doi: 10.1016/S0140-6736(12)61816-9
[23]	DE LOOZE M P, BOSCH T, KRAUSE F, et al. Exoskeletons for industrial application and their potential effects on physical work load[J]. Ergonomics, 2016, 59(5): 671-681. doi: 10.1080/00140139.2015.1081988
[24]	IENCA M, FABRICE J, ELGER B, et al. Intelligent assistive technology for Alzheimer's disease and other dementias: a systematic review[J]. J Alzheimers Dis, 2017, 56(4): 1301-1340. doi: 10.3233/JAD-161037
[25]	JAROSIEWICZ B, SARMA A A, BACHER D, et al. Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface[J]. Sci Transl Med, 2015, 7(313): 179-313.
[26]	GILLESPIE A, BEST C, O'NEILL B. Cognitive function and assistive technology for cognition: a systematic review[J]. J Int Neuropsychol Soc, 2012, 18(1): 1-19. doi: 10.1017/S1355617711001548
[27]	KHOSRAVI P, GHAPANCHI A H. Investigating the effectiveness of technologies applied to assist seniors: a systematic literature review[J]. Int J Med Inform, 2016, 85(1): 17-26. doi: 10.1016/j.ijmedinf.2015.05.014
[28]	COLLINGER J L, BONINGER M L, BRUNS T M, et al. Functional priorities, assistive technology, and brain-computer interfaces after spinal cord injury[J]. J Rehabil Res Dev, 2013, 50(2): 145. doi: 10.1682/JRRD.2011.11.0213
[29]	World Health Organization Official Website. World Health Organization. Assistive technology[EB/OL]. (2018-05-18) [2021-12-25]. https://www.who.int/zh/news-room/fact-sheets/detail/assistive-technology.
[30]	董理权, 李晞, 徐进, 等. "互联网+"智能化辅助器具评估与适配服务体系构建研究[J]. 中国康复理论与实践, 2019, 25(6): 724-728.
	DONG L Q, LI X, XU J, et al. Construction of assistive products service system using internet plus and artificial intelligence[J]. Chin J Rehabil Theory Pract, 2019, 25(6): 724-728.
[31]	World Health Organization. Global cooperation on assistive technology (GATE)[EB/OL]. (2016-12-22) [2021-12-26]. https://www.who.int/disabilities/technology/gate/en/.
[32]	ZHANG Z, PRILUTSKY B I, BUTLER A J, et al. Design and preliminary evaluation of a tongue-operated exoskeleton system for upper limb rehabilitation[J]. Int J Environ Res Public Health, 2021, 18(16): 8708. doi: 10.3390/ijerph18168708
[33]	YEON P, KIM M, BRAND O, et al. Optimal design of passive resonating wireless sensors for wearable and implantable devices[J]. IEEE Sens J, 2019, 19(17): 7460-7470. doi: 10.1109/JSEN.2019.2915299
[34]	JAFARI A, BUSWELL N, GHOVANLOO M, et al. A low-power wearable stand-alone tongue drive system for people with severe disabilities[J]. IEEE Trans Biomed Circuits Syst, 2018, 12(1): 58-67. doi: 10.1109/TBCAS.2017.2757031
[35]	SAHADAT M N, ALREJA A, GHOVANLOO M. Simultaneous multimodal PC access for people with disabilities by integrating head tracking, speech recognition, and tongue motion[J]. IEEE Trans Biomed Circuits Syst, 2018, 12(1): 192-201. doi: 10.1109/TBCAS.2017.2771235
[36]	刘壮, 朱纯煜, 朱越, 等. 基于多传感器信息的新型穿戴式上肢外骨骼康复机器人[J]. 北京生物医学工程, 2021, 40(3): 273-278.
	LIU Z, ZHU C Y, ZHU Y, et al. A new wearable upper limb exoskeleton rehabilitation robot based on multi-sensor information[J]. Beijing Biomed Eng, 2021, 40(3): 273-278.
[37]	肖艺璇, 李新伟, 喻洪流. 柔性链驱动的手功能康复训练系统研究[J]. 生物医学工程学进展, 2021, 42(1): 5-9.
	XIAO Y X, LI X W, YU H L. Study on the rehabilitation training system of hand function driven by flexible chain[J]. Prog Biomed Eng, 2021, 42(1): 5-9.
[38]	喻贝贝, 喻洪流, 孟青云, 等. 基于假肢步态仿真模拟与评测系统的步态对称性研究[J]. 生物医学工程学杂志, 2019, 36(6): 924-929.
	YU B B, YU H L, MENG Q Y, et al. Study on gait symmetry based on simulation and evaluation system of prosthesis gait[J]. J Biomed Eng, 2019, 36(6): 924-929.
[39]	段崇群, 李新伟, 何秉泽, 等. 基于远程运动中心机构的动力髋离断假肢的设计与仿真[J]. 生物医学工程学杂志, 2021, 38(3): 549-555.
	DUAN C Q, LI X W, HE B Z, et al. Design and simulation of dynamic hip prosthesis based on remote motion center mechanism[J]. J Biomed Eng, 2021, 38(3): 549-555.
[40]	刘毅. 近20年我国舆论学研究进展的知识图谱分析——基于CSSCI数据库(1994-2013)[J]. 情报杂志, 2015, 34(5): 169-173.
	LIU Y. Analysis of evolvement of public opinion research in the past 20 years in china-based on CSSCI database (1994-2013)[J]. J Intell, 2015, 34(5): 169-173.
[41]	张艳超, 黄健. 工作场所学习领域国际研究热点透视——基于西方7本学术期刊文献(2005-2015)[J]. 现代远程教育研究, 2016, (4): 58-69.
	ZHANG Y C, HUANG J. Perspective of international research hot spot in the field of workplace learning-based on the study of literature from seven western academic journals between 2005 and 2015[J]. Modern Distance Educ Res, 2016, (4): 58-69.
[42]	陈悦, 宋超, 周京生, 等. 文献计量学视角下的论文被引频次影响因素研究——兼评使用与被引之间关系[J]. 情报杂志, 2019, 38(4): 96-104.
	CHEN Y, SONG C, ZHOU J S, et al. Study on the factors affecting the citation frequency of papers from the perspective of bibliometrics-comment on the relationship between usage and citation[J]. J Intell, 2019, 38(4): 96-104.
[43]	龚振炜, 安达, 傅智杰, 等. 国家工程科技高端智库信息化建设研究[J]. 中国电子科学研究院学报, 2019, 14(12): 1221-1227.
	GONG Z W, AN D, FU Z J, et al. Research on informatization of national high-level think tanks for engineering science and technology[J]. J Chin Acad Electron Inform Technol, 2019, 14(12): 1221-1227.
[44]	新华社. 国务院印发«关于加快发展康复辅助器具产业的若干意见»_中国政府网[EB/OL].(2016-10-27) [2022-01-30]. http://www.gov.cn/xinwen/2016-10/27/content_5125063.htm.
[45]	民政部. 民政部就«关于加快发展康复辅助器具产业的若干意见»新闻发布_中国政府网[EB/OL]. (2016-10-28) [2022-01-30]. http://www.gov.cn/xinwen/2016-10/28/content_5125592.htm

近10年康复辅助器具相关研究的可视化分析

Researches about assistive devices in recent ten years: a visual analysis

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 14

参考文献 45

相关文章 15

Metrics

本文评价

推荐阅读 0

排名	作者	年份	标题	期刊来源	被引频次
1	Hochberg L R等^[20]	2012	Reach and grasp by people with tetraplegia using a neurally controlled robotic arm	Nature	36
2	Collins S H等^[21]	2015	Reducing the energy cost of human walking using an unpowered exoskeleton	Nature	29
3	Collinger J L等^[22]	2013	High-performance neuroprosthetic control by an individual with tetraplegia	Lancet	28
4	de Looze M P等^[23]	2016	Exoskeletons for industrial application and their potential effects on physical work load	Ergonomics	27
5	Ienca M等^[24]	2017	Intelligent assistive technology for Alzheimer's disease and other dementias: a systematic review	J Alzheimers Dis	26

排名	作者	年份	标题	期刊来源	中介中心性
1	Jarosiewicz B等^[25]	2015	Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface	Sci Transl Med	0.54
2	Gillespie A等^[26]	2012	Cognitive function and assistive technology for cognition: a systematic review	J Int Neuropsychol Soc	0.52
3	Khosravi P 等^[27]	2016	Investigating the effectiveness of technologies applied to assist seniors: a systematic literature review	Int J Med Inform	0.42
4	Collinger J L等^[22]	2013	High-performance neuroprosthetic control by an individual with tetraplegia	Lancet	0.40
5	Collinger J L^[28]	2013	Functional priorities, assistive technology, and brain-computer interfaces after spinal cord injury	J Rehabil Res Dev	0.39

[1]	罗丽华, 王雨生, 李剑锋, 董继革. 术后早期综合康复对儿童青少年肱骨髁上骨折伴尺神经损伤的效果[J]. 《中国康复理论与实践》, 2024, 30(1): 105-110.
[2]	王子豪, 李昕华, 蒋慧萍, 郭赛男, 梁秋曼, 史婷奇. 全膝关节置换术后短期膝关节功能及其影响因素[J]. 《中国康复理论与实践》, 2024, 30(1): 111-118.
[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]	史佳伟, 李凌宇, 杨浩杰, 王琴潞, 邹海欧. 预康复对全膝关节置换术后患者的有效性：系统综述的系统综述[J]. 《中国康复理论与实践》, 2023, 29(9): 1057-1064.
[5]	邹瑜聪, 周静, 林炜明, 李冬霞, 王娟, 王昱棋, 王玉龙. 近5年慢性意识障碍治疗的可视化分析[J]. 《中国康复理论与实践》, 2023, 29(9): 1065-1071.
[6]	蔡华年, 费思先, 张忆晨, 孙青, 郭帅, 宋韬. 基于导纳控制的双边康复机器人运动辅助分析[J]. 《中国康复理论与实践》, 2023, 29(9): 1104-1109.
[7]	刘洋, 张鹏, 黄英, 陈翰, 许辰, 李敏. 知觉压力影响创伤康复期患者事件影响程度的中介效应路径分析[J]. 《中国康复理论与实践》, 2023, 29(8): 954-960.
[8]	易琦峰, 黄卓尔, 杨国莉, 谢丽华, 谢胜锋, 吴小霞, 严谨. 在职医护人员呼吸康复培训知识需求问卷的编制及信度、效度检验[J]. 《中国康复理论与实践》, 2023, 29(8): 985-992.
[9]	李子怡, 宋为群, 杜巨豹, 曹光磊, 张艳明, 李冉. 运动表象训练对膝关节单髁置换术后膝关节功能的效果[J]. 《中国康复理论与实践》, 2023, 29(7): 745-749.
[10]	任艺, 王蕊, 章耀华. 本体感觉神经肌肉促进技术联合神经肌肉电刺激对慢性踝关节不稳的效果[J]. 《中国康复理论与实践》, 2023, 29(7): 750-755.
[11]	李芳, 霍速, 杜巨豹, 刘秀贞, 李小爽, 宋为群. 经颅直流电刺激联合任务导向性康复训练对脊髓损伤大鼠前肢运动障碍的效果[J]. 《中国康复理论与实践》, 2023, 29(7): 777-781.
[12]	王靖萱, 吕迪阳, 方伯言. 帕金森病步态异常非药物康复循证研究：基于ClinicalTrials.gov数据库分析[J]. 《中国康复理论与实践》, 2023, 29(7): 816-821.
[13]	马甜甜, 于子夫, 秦芳, 冷晓轩, 刘西花. 强制性运动疗法在康复领域应用的可视化分析[J]. 《中国康复理论与实践》, 2023, 29(7): 822-832.
[14]	唐强, 郑爽, 王蕾, 王艳, 李保龙, 刘贵军, 朱路文. 基于世界卫生组织康复胜任力架构的中医康复学专业课程开发研究[J]. 《中国康复理论与实践》, 2023, 29(7): 862-868.
[15]	吴千豪, 侯榕洁, 傅丽媛. 近10年国内外盆底康复的可视化分析[J]. 《中国康复理论与实践》, 2023, 29(6): 673-685.