Research on multi-disciplinary cooperation of rehabilitation robot applying social network analysis

被引:0
|
作者
Zhang, Ying [1 ]
Liu, Xiaoyu [1 ]
Fan, Yubo [1 ]
机构
[1] Key Laboratory for Biomechanics and Mechanobiology of Chinese Education Ministry, School of Biological Science and Medical Engineering, Beihang Universityersity, Beijing,100191, China
关键词
Information fusion - Social networking (online);
D O I
10.19650/j.cnki.cjsi.J2006190
中图分类号
学科分类号
摘要
This article aims to investigate the correlation of cross-regional and multi-disciplinary cooperation in rehabilitation robots. In this study, Social network analysis method was used to reveal the interdisciplinary cooperation of rehabilitation robots around the world. Based on the literatures, the knowledge maps of the cooperative network were constructed to analyze and understand the interdisciplinary scientific collaboration relevance and collaboration topics. Some indicators were used for deep analysis on relevant metrics such as countries / regions, institutions and authors. This paper also illustrates the study of authors collaboration topics which are focus on robot-assisted walking, neurophysiological approach, brain-machine interface, stroke rehabilitation, upper-extremity rehabilitation and so on. The results of this study will provide valuable guidance for the research of interdisciplinary cooperation research and selection of interdisciplinary scientific cooperation topics for researchers in the field of rehabilitation robot. © 2020, Science Press. All right reserved.
引用
收藏
页码:220 / 229
相关论文
共 50 条
  • [1] The Huggable Robot Probo, a Multi-disciplinary Research Platform
    Goris, Kristof
    Saldien, Jelle
    Vanderniepen, Innes
    Lefeber, Dirk
    [J]. RESEARCH AND EDUCATION IN ROBOTICS - EUROBOT 2008, 2009, 33 : 29 - 41
  • [2] PULMONARY REHABILITATION - A MULTI-DISCIPLINARY APPROACH
    DOMHOLDT, EA
    [J]. PHYSICAL THERAPY, 1984, 64 (05): : 735 - 735
  • [3] Multi-disciplinary paediatric research
    Warner, J. O.
    [J]. PEDIATRIC ALLERGY AND IMMUNOLOGY, 2009, 20 (07) : 611 - 611
  • [4] Advances in Network Sciences via Collaborative Multi-Disciplinary Research
    Verma, Dinesh
    Leland, Will
    Tien Pham
    Swami, Ananthram
    Cirincione, Greg
    [J]. 2015 18TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2015, : 186 - 193
  • [5] Outcomes of a Multi-Disciplinary Rehabilitation Consultation Team
    Connor, Elaine O.
    Doyle, Sarah
    Coleman, Sinead
    Connaughton, Fiona
    Cunningham, Conal
    [J]. IRISH JOURNAL OF MEDICAL SCIENCE, 2014, 183 : S360 - S360
  • [6] A MULTI-DISCIPLINARY APPROACH TO THE REHABILITATION OF THE MASTECTOMY PATIENT
    RIVET, LB
    SCHROECK, CJ
    [J]. PHYSICAL THERAPY, 1985, 65 (05): : 735 - 735
  • [7] A DYNAMIC NETWORK ANALYSIS APPROACH FOR EVALUATING KNOWLEDGE DISSEMINATION IN A MULTI-DISCIPLINARY COLLABORATION NETWORK IN OBESITY RESEARCH
    Kang, Hyojung
    Munoz, David
    [J]. 2015 WINTER SIMULATION CONFERENCE (WSC), 2015, : 1319 - 1330
  • [8] A multi-disciplinary profile of IS/IT outsourcing research
    Alsudairi, Mohamed
    Dwivedi, Yogesh K.
    [J]. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2010, 23 (02) : 215 - +
  • [9] AN INTEGRATED MULTI-DISCIPLINARY RESEARCH FRAMEWORK
    Smith, K. Tara
    [J]. CONTEMPORARY ERGONOMICS AND HUMAN FACTORS 2010, 2010, : 499 - 499
  • [10] Multi-disciplinary approach to research into ageing
    不详
    [J]. JOURNAL OF ADVANCED NURSING, 1999, 30 (03) : 537 - 537