Characteristics and Emerging Trends in Research on Rehabilitation Robots from 2001 to 2020: Bibliometric Study

Overview

Journal J Med Internet Res

Publisher JMIR Publications

Specialty Medical Informatics

Date 2023 May 31

PMID 37256670

Authors

Ying Zhang

Xiaoyu Liu

Xiaofeng Qiao

Yubo Fan

Affiliations

Soon will be listed here.

Abstract

Background: The past 2 decades have seen rapid development in the use of robots for rehabilitation. Research on rehabilitation robots involves interdisciplinary activities, making it a great challenge to obtain comprehensive insights in this research field.

Objective: We performed a bibliometric study to understand the characteristics of research on rehabilitation robots and emerging trends in this field in the last 2 decades.

Methods: Reports on the topic of rehabilitation robots published from January 1, 2001, to December 31, 2020, were retrieved from the Web of Science Core Collection on July 28, 2022. Document types were limited to "article" and "meeting" (excluding the "review" type), to ensure that our analysis of the evolution over time of this research had high validity. We used CiteSpace to conduct a co-occurrence and co-citation analysis and to visualize the characteristics of this research field and emerging trends. Landmark publications were identified using metrics such as betweenness centrality and burst strength.

Results: Through data retrieval, cleaning, and deduplication, we retrieved 9287 publications and 110,619 references cited in these publications that were on the topic of rehabilitation robots and were published between 2001 and 2020. Results of the Mann-Kendall test indicated that the numbers of both publications (P<.001; S=175.0) and citations (P<.001; S=188.0) related to rehabilitation robots exhibited a significantly increasing yearly trend. The co-occurrence results revealed 120 categories connected with research on rehabilitation robots; we used these categories to determine research relationships. The co-citation results identified 169 co-citation clusters characterizing this research field and emerging trends in it. The most prominent label was "soft robotic technology" (the burst strength was 79.07), which has become a topic of great interest in rehabilitative recovery for both the upper and lower limbs. Additionally, task-oriented upper-limb training, control strategies for robot-assisted lower limb rehabilitation, and power in exoskeleton robots were topics of great interest in current research.

Conclusions: Our work provides insights into research on rehabilitation robots, including its characteristics and emerging trends during the last 2 decades, providing a comprehensive understanding of this research field.

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References

Fasoli S, Krebs H, Stein J, Frontera W, Hogan N . Effects of robotic therapy on motor impairment and recovery in chronic stroke. Arch Phys Med Rehabil. 2003; 84(4):477-82. DOI: 10.1053/apmr.2003.50110. View

Ferraro M, Palazzolo J, Krol J, Krebs H, Hogan N, Volpe B . Robot-aided sensorimotor arm training improves outcome in patients with chronic stroke. Neurology. 2003; 61(11):1604-7. DOI: 10.1212/01.wnl.0000095963.00970.68. View

Chiang M, Lin H, Hou C . Development of a stereo vision measurement system for a 3D three-axial pneumatic parallel mechanism robot arm. Sensors (Basel). 2012; 11(2):2257-81. PMC: 3274037. DOI: 10.3390/s110202257. View

Ang K, Chua K, Phua K, Wang C, Chin Z, Kuah C . A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke. Clin EEG Neurosci. 2014; 46(4):310-20. DOI: 10.1177/1550059414522229. View

Falagas M, Pitsouni E, Malietzis G, Pappas G . Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses. FASEB J. 2007; 22(2):338-42. DOI: 10.1096/fj.07-9492LSF. View

Veerbeek J, Langbroek-Amersfoort A, van Wegen E, Meskers C, Kwakkel G . Effects of Robot-Assisted Therapy for the Upper Limb After Stroke. Neurorehabil Neural Repair. 2016; 31(2):107-121. DOI: 10.1177/1545968316666957. View

Baniqued P, Stanyer E, Awais M, Alazmani A, Jackson A, Mon-Williams M . Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review. J Neuroeng Rehabil. 2021; 18(1):15. PMC: 7825186. DOI: 10.1186/s12984-021-00820-8. View

Chen C, Dubin R, Kim M . Emerging trends and new developments in regenerative medicine: a scientometric update (2000 - 2014). Expert Opin Biol Ther. 2014; 14(9):1295-317. DOI: 10.1517/14712598.2014.920813. View

Klamroth-Marganska V, Blanco J, Campen K, Curt A, Dietz V, Ettlin T . Three-dimensional, task-specific robot therapy of the arm after stroke: a multicentre, parallel-group randomised trial. Lancet Neurol. 2014; 13(2):159-66. DOI: 10.1016/S1474-4422(13)70305-3. View

10.

AlRyalat S, Malkawi L, Momani S . Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases. J Vis Exp. 2019; (152). DOI: 10.3791/58494. View

11.

Kang B, Choi H, Lee H, Cho K . Exo-Glove Poly II: A Polymer-Based Soft Wearable Robot for the Hand with a Tendon-Driven Actuation System. Soft Robot. 2018; 6(2):214-227. DOI: 10.1089/soro.2018.0006. View

12.

Chang W, Kim Y . Robot-assisted Therapy in Stroke Rehabilitation. J Stroke. 2014; 15(3):174-81. PMC: 3859002. DOI: 10.5853/jos.2013.15.3.174. View

13.

Calvo R, Dinakar K, Picard R, Christensen H, Torous J . Toward Impactful Collaborations on Computing and Mental Health. J Med Internet Res. 2018; 20(2):e49. PMC: 5889813. DOI: 10.2196/jmir.9021. View

14.

Topini A, Sansom W, Secciani N, Bartalucci L, Ridolfi A, Allotta B . Variable Admittance Control of a Hand Exoskeleton for Virtual Reality-Based Rehabilitation Tasks. Front Neurorobot. 2022; 15:789743. PMC: 8790045. DOI: 10.3389/fnbot.2021.789743. View

15.

Zhang J, Fiers P, Witte K, Jackson R, Poggensee K, Atkeson C . Human-in-the-loop optimization of exoskeleton assistance during walking. Science. 2017; 356(6344):1280-1284. DOI: 10.1126/science.aal5054. View

16.

Lum P, Burgar C, Shor P, Majmundar M, Van der Loos M . Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke. Arch Phys Med Rehabil. 2002; 83(7):952-9. DOI: 10.1053/apmr.2001.33101. View

17.

Krebs H, Rauch S, Savage C, Hogan N, Rubin R, Fischman A . Robot-aided functional imaging: application to a motor learning study. Hum Brain Mapp. 1998; 6(1):59-72. PMC: 6873353. View

18.

Li N, Yang T, Yu P, Chang J, Zhao L, Zhao X . Bio-inspired upper limb soft exoskeleton to reduce stroke-induced complications. Bioinspir Biomim. 2018; 13(6):066001. DOI: 10.1088/1748-3190/aad8d4. View

19.

Reid L, Pagnozzi A, Fiori S, Boyd R, Dowson N, Rose S . Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis. Int J Dev Neurosci. 2017; 58:17-25. DOI: 10.1016/j.ijdevneu.2017.01.010. View

20.

Prange G, Jannink M, Groothuis-Oudshoorn C, Hermens H, IJzerman M . Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke. J Rehabil Res Dev. 2006; 43(2):171-84. DOI: 10.1682/jrrd.2005.04.0076. View