Sensor-Based Rehabilitation in Neurological Diseases: A Bibliometric Analysis of Research Trends

Background: As the field of sensor-based rehabilitation continues to expand, it is important to gain a comprehensive understanding of its current research landscape. This study aimed to conduct a bibliometric analysis to identify the most influential authors, institutions, journals, and research areas in this field. Methods: A search of the Web of Science Core Collection was performed using keywords related to sensor-based rehabilitation in neurological diseases. The search results were analyzed with CiteSpace software using bibliometric techniques, including co-authorship analysis, citation analysis, and keyword co-occurrence analysis. Results: Between 2002 and 2022, 1103 papers were published on the topic, with slow growth from 2002 to 2017, followed by a rapid increase from 2018 to 2022. The United States was the most active country, while the Swiss Federal Institute of Technology had the highest number of publications among institutions. Sensors published the most papers. The top keywords included rehabilitation, stroke, and recovery. The clusters of keywords comprised machine learning, specific neurological conditions, and sensor-based rehabilitation technologies. Conclusions: This study provides a comprehensive overview of the current state of sensor-based rehabilitation research in neurological diseases, highlighting the most influential authors, journals, and research themes. The findings can help researchers and practitioners to identify emerging trends and opportunities for collaboration and can inform the development of future research directions in this field.

Automated summary

This study conducted a bibliometric analysis on sensor-based rehabilitation research in neurological diseases, revealing the current research landscape and influential authors, institutions, journals, and research areas. The findings showed a gradual increase in research activity from 2002 to 2022, with the United States being the most active country, the Swiss Federal Institute of Technology having the highest number of publications among institutions, and Sensors journal publishing the most papers. Key themes included rehabilitation, stroke, and recovery, with research clusters focusing on machine learning, specific neurological conditions, and sensor-based rehabilitation technologies.