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Review
. 2025 Feb;20(2):321-330.
doi: 10.1080/17483107.2024.2387101. Epub 2024 Aug 14.

Mapping and analyzing the application of digital health for stroke rehabilitation: scientometric analysis

Vahid Fatehi  1 , Zahra Salahzadeh  2 , Zeinab Mohammadzadeh  1
Affiliations
Review

Mapping and analyzing the application of digital health for stroke rehabilitation: scientometric analysis

Vahid Fatehi et al. Disabil Rehabil Assist Technol. 2025 Feb.

Abstract

Introduction: A modern and accessible healthcare system requires digital innovation and connectivity. The term "Digital health" covers vide range technologies, such as mobile health and applications, electronic records, telehealth and telemedicine, wearable devices, robotics, virtual reality and artificial intelligence.

Methods: Scientometrics is the method that we have done in this study by Cite Space and VOSviewer software, and the result of searching the Web of Science database in plain text format to perform analysis and scientometrics and create outputs in the form of graphs and tables in the field of digital health has been used in stroke rehabilitation.

Result: A total of 2933 documents related to digital health technologies in stroke rehabilitation were identified by searching for the terms "stroke rehabilitation" or "stroke recovery" in the title and "digital health" across all fields. The strongest citations related to cerebrovascular disease spanned from 1994 to 2007, with randomised clinical trials occurring almost simultaneously and ended by 2012. Consequently, stroke rehabilitation by virtual reality technology has obtained the most citations and clinical trials and as an important part of digital health in the future research process.

Conclusion: This scientometric study offers insights into how digital health technology can assist stroke patients in self-managing their health and well-being, in addition to supporting integrated stroke rehabilitation. The analysis revealed that three themes were present: author contributors and collaboration networks, temporal evolution, the strongest citation explosions for digital health technologies in stroke rehabilitation research, and semantic analysis.

Keywords: Digital health; digital innovation; recovery; rehabilitation; stroke.

Plain language summary

The new technology for helping stroke patients get better is a big help to many people with health problems.Newer technologies are now more common, and more patients are using remote health care monitoring. We need to do more research to figure out if these digital health technologies work well over a long period of time.This study connects digital technology and stroke rehab research. It looks at different research areas and trends, and gives a wider view than other similar studies. The findings show where more research should be done and help researchers work together in different areas to improve our knowledge of stroke rehabilitation.

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