Chinese Journal of Tissue Engineering Research ›› 2022, Vol. 26 ›› Issue (14): 2214-2222.doi: 10.12307/2022.486
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Xue Xiali1, Deng Zhongyi1, Sun Junzhi1, Li Ning1, Ren Wenbo2, Zhou Ling2, He Ye3
Received:
2021-01-18
Revised:
2021-02-27
Accepted:
2021-08-20
Online:
2022-05-18
Published:
2021-12-21
Contact:
Li Ning, Associate professor, Institute of Sports Medicine and Health, Chengdu Sport University, Chengdu 610041, Sichuan Province, China
About author:
Xue Xiali, Master candidate, Institute of Sports Medicine and Health, Chengdu Sport University, Chengdu 610041, Sichuan Province, China
Supported by:
CLC Number:
Xue Xiali, Deng Zhongyi, Sun Junzhi, Li Ning, Ren Wenbo, Zhou Ling, He Ye. Hot spots and frontiers of rehabilitation robot research in recent 10 years: a bibliometric analysis based on the Web of Science database[J]. Chinese Journal of Tissue Engineering Research, 2022, 26(14): 2214-2222.
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2.3 基于研究机构合作共现的研究热点分析 通过研究机构合作共现分析,使用Citespace软件绘制出康复机器人研究机构合作共现的研究热点视图,共生成411个节点,616条连接,拓扑网络的密度为0.007 3。研究机构可视化提示,中心度排名前3的分别是Scuola Super Sant Anna(比萨圣安娜高等学校,0.24)、Northwestern Univ(西北大学,0.23)和MIT(麻省理工学院,0.12),这3个机构均与其他机构建立了良好的研究合作关系。比萨市圣安娜高等学校仿生机器人研究院成立于2011年,经过近10年的发展,已在国际康复机器人研究中处于领先地位,重点开发仿生机器人、智能系统以及微电子技术研发与创新;2020年西北大学的研究人员开发出首个类似于生命的材料,可以充当软机器人,能以人类的速度行走,捡起物体并将其运输到新的位置,引起国际学术界的轰动;麻省理工学院作为较早进入辅助康复机器人研究的机构,研发出了适应于各类损伤类型的康复机器人,在国际上有较高的盛名和权威。由图可以看出,国际上研发水平较高的机构间合作密切,为康复机器人的发展做出了卓越的贡献,见图3。"
2.4 高影响力作者及合作关系分析 在作者合作关系图谱中,Riener R教授以绝对的优势,占据该领域的领头地位,但与其他发文量较高的作者无合作关系,其他几位高影响力作者间合作关系相对较密切。高影响力作者多进行频繁密切的交流合作,才能更好地推动国际康复机器人研究的发展。根据普赖斯定律[24],在同一主题中,半数的论文为一群高生产能力作者所撰,这一作者集合的数量上约等于全部作者总数的平方根。在3 194篇文献中,共有9 163位作者,其中,前93位作者就完成了50%的论文数量,符合普赖斯定律。说明已经形成了康复机器人领域的核心作者群,即关注这些作者的研究方向可以更好的了解康复机器人发展的前沿与趋势,见图4。"
2.5 高被引文献分析 在检索到的3 194条文献中,文献总被引频次为47 224次,前3名来源期刊分别是《LANCET》(柳叶刀)、《NEJM》(新英格兰医学杂志)、《ROBOT AUTON SYST》(机器人和自主系统杂志)。但综合被引用频次、比例,文章质量均有待进一步提升。且高被引文献的发表时间均较早,可能是新的高质量的文献发表时间较晚,导致被引频次相对较低。第一的文章是脑卒中治疗的指南,康复实践的新疗法虚拟现实、机器人治疗等正在被越来越多的应用到临床中;第二、三篇介绍了康复机器人及软式手套在脑卒中患者的实际应用效果。可见,康复机器人不仅有指南规范,针对脑卒中开展的新技术、新材料仍在不断发展进步,学术界仍然充满了活力。排名前10的高被引文献见表2。"
2.7 基于关键词聚类的研究热点及前沿分析 运用CiteSpace对关键词进行聚类分析,采用经典的LLR算法,共得到9个聚类群,分别为:#0 walking、#1 stroke、#2 brain-computer interface、#3 stroke、#4 electromyography、#5 proprioception、#6 task analysis、#7 soft actuators、#8 soft robotics,见图6。以Timeline view显示聚类关键词的时间动态变化。从2010年康复机器人、脑卒中、外骨骼、机器人的稳定性、脑卒中康复、脊髓损伤、神经康复、肌肉运动学习、虚拟现实等关键词得到广泛关注,其中,康复机器人与脑血管意外、外骨骼机器人、自适应控制和触觉手康复关系研究的热度2011年开始出现;康复机器人与脑机接口、上肢康复和Meta分析研究的热度2014年开始出现;康复机器人与上肢康复和Meta分析的关系研究热度持续到2019年;2019-2020年,机器人传感系统、致动器、气动人工肌肉、任务分析、可穿戴式机器人和柔性机器人等成为新的词汇。国际学术界对康复机器人相关研究热点的关注,反映了对康复机器人发展的极大关注。预测未来将围绕康复机器人与机器人传感系统、可穿戴式机器人和柔性机器人继续深入研究。关键词时间动态演变情况见图7。"
2.8 基于相关文献共被引聚类分析 通过文献共被引聚类分析,使用Citespace软件绘制出康复机器人研究文献共被引图谱,以最低被引次数为15次进行绘制,共生成10个聚类,134个节点,219条连接,拓扑网络的密度为0.024 6。图中不同的圆圈颜色代表不同的聚类;圆圈的数量代表的是分析参考文献的多少;圆圈的大小代表每篇参考文献的共被引频率,圆圈越大共被引频率越高;紫色的外圈代表中介中心性,外圈越大中心性越高。相互连接的两点代表两篇文献同时被另一篇论文所引用。连线的长短代表了2篇参考文献的相关性,相关性越强连线越短。中心度排在前3的高被引文献为“Lo AC,2010[35]”(0.88)、“Maciejasz P, 2014[36]”(0.68)、“Klamroth-Marganska V2014[32]”(0.45),第一篇介绍了对于脑卒中后长期上肢损伤的患者,机器人辅助疗法可明显改善上肢运动;第二篇总结了现有的上肢康复机器人治疗方案,对各种康复机器人系统中实施的技术解决方案进行了全面列表比较;第三篇评估了使用外骨骼机器人训练与传统疗法对于脑卒中患者上肢功能恢复疗效的比较。由此可见,康复机器人在脑卒中患者上肢功能康复的应用十分广泛,同时从侧面反映了脑卒中上肢功能康复是当前的热点研究领域,见图8。"
2.9 基于突现词检测算法的研究前沿分析 运用CiteSpace突现词探测功能,共探测到108个突变词。在被引文献频次最高的25个关键词中,有16个突变词的突变周期均集中在2010-2015年。突变强度最大的是“arm”上肢(8);其次是“motor control”机电控制(7.13);排在第三位的是“hemiparetic patient”脑卒中患者(6.13)。而近5年来突变强度较大的关键词包括:“modulation”调制(2015-2016)、“computer interface”计算机接口(2015-2017)、“treadmill therapy”跑步机治疗(2016-2017)、“series elastic actuator”系列弹性致动器(2017-2020)、“prosthetics and exoskeleton”假肢和外骨骼(2018-2020),见图9。系列弹性致动器主要应用于下肢动力假肢[37]。麻省理工学院在设计和制造动力假体方面研发出的仿生脚踝就属于此。关节可以模仿正常关节运动、补偿缺失肌肉的功能,将重量从其他肢体上移开,使得被截肢者可以依赖假肢运动,且该假肢适用于任何接触表面。外骨骼在最近几年特别流行,它在军事、医疗、民用等领域具有巨大的市场和前景。外骨骼机器人是一种特殊类型的康复机器人,主要用于辅助行走。目前,用于脑卒中康复的机器人外骨骼可以为用户提供一致的、高剂量的运动重复以及平衡和稳定性,因此受到了医疗人员及患者的青睐。"
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