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Visualising the knowledge structure and evolution of wearable device research.

Chen Wang1, Huiying Qi1

  • 1Department of Health informatics and Management, School of Health Humanities, Peking University, Beijing, China.

Journal of Medical Engineering & Technology
|March 26, 2021
PubMed
Summary

Bibliometric analysis reveals key research trends in wearable devices, focusing on sensor evolution, AI integration, and medical applications. Future directions include big data and personalized medicine for advanced wearable technology.

Keywords:
Wearable devicedevelopment trendhot topicstheme evolution

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Area of Science:

  • Wearable technology
  • Bibliometrics
  • Scientific literature analysis

Background:

  • The field of wearable devices has seen exponential growth in research publications.
  • Limited studies have employed bibliometric and visualization techniques for comprehensive analysis.
  • A deep understanding of foundational knowledge and research hotspots is needed.

Purpose of the Study:

  • To conduct a deep mining and visualization of the wearable devices field using bibliometric analysis.
  • To identify foundational knowledge, research hotspots, and future trends in wearable device research.
  • To map the evolution of research themes and subject areas within the field.

Main Methods:

  • Bibliometric analysis of scientific literature related to wearable devices.
  • Analysis of publication trends, country distribution, and keyword co-occurrence.
  • Theme evolution analysis and identification of future research hotspots and trends.

Main Results:

  • The subject evolution path progresses from sensor research to sensitivity research and multi-functional devices.
  • Key research areas include information collection, sensor materials, manufacturing, AI applications, energy supply, and medical uses.
  • Future trends point towards integration with big data, telemedicine, and personalized precision medicine.

Conclusions:

  • Bibliometric analysis provides a panoramic view of the wearable devices field.
  • Understanding research trajectories and hotspots is crucial for future development.
  • Integration with emerging technologies like AI and big data will drive innovation in wearable applications, especially in healthcare.