Abstract
Background: In recent years, with the development of medical science and artificial intelligence, research on rehabilitation robots has gained more and more attention, for nearly 10 years in the Web of Science database by journal of rehabilitation robot-related research literature analysis, to parse and track rehabilitation robot research hotspot and front, and provide some guidance for future research.Methods: This study employed computer retrieval of rehabilitation robot-related research published in the core data collection of the Web of Science database from 2010 to 2020, using CiteSpace 5.7 visualization software. The hotspots and frontiers of rehabilitation robot research are analyzed from the aspects of high-influence countries or regions, institutions, authors, high-frequency keywords, and emergent words.Results: A total of 3,194 articles were included. In recent years, the research on rehabilitation robots has been continuously hot, and the annual publication of relevant literature has shown a trend of steady growth. The United States ranked first with 819 papers, and China ranked second with 603 papers. Northwestern University ranked first with 161 publications. R. Riener, a professor at the University of Zurich, Switzerland, ranked as the first author with 48 articles. The Journal of Neural Engineering and Rehabilitation has the most published research, with 211 publications. In the past 10 years, research has focused on intelligent control, task analysis, and the learning, performance, and reliability of rehabilitation robots to realize the natural and precise interaction between humans and machines. Research on neural rehabilitation robots, brain–computer interface, virtual reality, flexible wearables, task analysis, and exoskeletons has attracted more and more attention.Conclusions: At present, the brain–computer interface, virtual reality, flexible wearables, task analysis, and exoskeleton rehabilitation robots are the research trends and hotspots. Future research should focus on the application of machine learning (ML), dimensionality reduction, and feature engineering technologies in the research and development of rehabilitation robots to improve the speed and accuracy of algorithms. To achieve wide application and commercialization, future rehabilitation robots should also develop toward mass production and low cost. We should pay attention to the functional needs of patients, strengthen multidisciplinary communication and cooperation, and promote rehabilitation robots to better serve the rehabilitation medical field.
Highlights
In the era of the COVID-19 pandemic, reducing doctor–patient contact is an important measure to prevent crossinfection
The core data set of the Web of Science database was retrieved by computer, and the retrieval condition was “TS = (Rehabilitation Robot OR Rehabilitation Robotics).”
809 belong to the category of rehabilitation medicine, 721 biomedical engineering, and 589 neuroscience. It can be seen from the data that rehabilitation robots are widely studied and applied in the fields of rehabilitation medicine, biomedical engineering, and neuroscience
Summary
In the era of the COVID-19 pandemic, reducing doctor–patient contact is an important measure to prevent crossinfection. Functional rehabilitation and the auxiliary robot have gradually become important technical means of clinical rehabilitation treatment in the world and have spawned several new rehabilitation robot technologies and systems [3] They have received great attention from all countries and have developed with each passing day [4]. Rehabilitation robots, originating from the research field of engineering, are the perfect combination of rehabilitation medicine and robot technology, which makes up for the deficiency of traditional rehabilitation treatment methods in ensuring the high intensity of rehabilitation training, the persistence of endurance, and the standardization of training effects They integrate the knowledge of artificial intelligence, biomechanics, information science, and rehabilitation medicine and use intelligent bionic technology to assist patients to complete limb-training movements and achieve the purpose of rehabilitation. With the development of medical science and artificial intelligence, research on rehabilitation robots has gained more and more attention, for nearly 10 years in the Web of Science database by journal of rehabilitation robot-related research literature analysis, to parse and track rehabilitation robot research hotspot and front, and provide some guidance for future research
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