神经康复
康复
出版
冲程(发动机)
人口
文献计量学
机器人学
领域(数学)
医学
物理医学与康复
人工智能
数据科学
医学教育
计算机科学
机器人
物理疗法
图书馆学
政治学
工程类
机械工程
环境卫生
法学
纯数学
数学
作者
Giacomo Zuccon,Basilio Lenzo,Matteo Bottin,Giulio Rosati
标识
DOI:10.1080/17434440.2022.2096438
摘要
Stroke is the leading cause of long-term disability in developed countries. Due to population aging, the number of people requiring rehabilitation after stroke is going to rise in the coming decades. Robot-mediated neurorehabilitation has the potential to improve clinical outcomes of rehabilitation treatments. A statistical analysis of the literature aims to focus on the main trend of this topic.A bibliometric survey on post-stroke robotic rehabilitation was performed through a database collection of scientific publications in the field of rehabilitation robotics. By covering the last 20 years, 17,429 sources were collected. Relevant patterns and statistics concerning the main research areas were analyzed. Leading journals and conferences which publish and disseminate knowledge in the field were identified. A detailed nomenclature study was carried out. The time trends of the research field were captured. Opinions and predictions of future trends that are expected to shape the near future of the field were discussed.Data analysis reveals the continuous expansion of the research field over the last two decades, which is expected to rise considerably in near future. More attention will be paid to the lower limbs rehabilitation and disease/design specific applications in early-stage patients.
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