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Application of Robotic Recovery Techniques to Stroke Survivors—Bibliometric Analysis.
- Source :
- Journal of Personalized Medicine; Dec2022, Vol. 12 Issue 12, p2066, 28p
- Publication Year :
- 2022
-
Abstract
- Stroke is a significant disability and death cause worldwide and is conventionally defined as a neurological impairment relating to the intense focal harm of the central nervous system (CNS) by vascular causative components. Although the applicability of robotic rehabilitation is a topic with considerable practical significance because it has produced noticeably higher improvements in motor function than regular (physical and occupational) therapy and exempted the therapists, most of the existing bibliometric papers were not focused on stroke survivors. Additionally, a modular system is designed by joining several medical end-effector devices to a single limb segment, which addresses the issue of potentially dangerous pathological compensatory motions. Searching the Web of Science database, 31,930 papers were identified, and using the VOSviewer software and science mapping technology, data were extracted on the most prolific countries, the connections between them, the most valuable journals according to certain factors, their average year of publication, the most influential papers, and the most relevant topical issues (bubble map of term occurrence). The most prolific country in the analyzed field and over the entire period evaluated (1975–2022) is the United States, and the most prolific journal is Neurorehabilitation and Neural Repair, observing a marked increase in the three periods of scientific interest for this field. The present paper assesses numerous scientific publications to provide, through statistical interpretation of the data, a detailed description of the use of robotic rehabilitation in stroke survivors. The findings may aid scientists, academics, and clinicians in establishing precise goals in the optimization of the management of stroke survivors via robotic rehabilitation, but also through easier access to scientifically validated literature. [ABSTRACT FROM AUTHOR]
- Subjects :
- BIBLIOMETRICS
STROKE patients
ROBOTICS
CENTRAL nervous system
SCIENCE databases
Subjects
Details
- Language :
- English
- ISSN :
- 20754426
- Volume :
- 12
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Journal of Personalized Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 161005739
- Full Text :
- https://doi.org/10.3390/jpm12122066