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September 10, 2025MedicineOpen Access

A bibliometric analysis of wearable sensors for fall-risk assessment in the elderly population

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Authors

PBPuspamalar BatumalaiDVDeepak Thazhakkattu VasuKSKiruthika Selvakumar

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Overview

Bibliometric analysis explores trends in wearable sensors for fall risk in the elderly, indicating significant advancements in technology and research contributions.

Key Points

  • Wearable sensors are significantly improving fall risk assessment for the elderly population, enhancing their safety.
  • Research activity tripled since 2013, with increasing attention on wearable technologies in fall-risk monitoring.
  • A systematic search identified 221 peer-reviewed studies, emphasizing critical themes like balance, gait, and predictive metrics.
  • The findings highlight the importance of standardization and accessibility for equitable use of wearable fall-risk assessment tools.

Cite This Study

Batumalai et al. (2025) studied this question.

synapsesocial.com/papers/68c1d7f654b1d3bfb60fa332https://doi.org/10.1097/md.0000000000044118
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Wearable Devices & Elderly: A Bibliometric Analysis of 2014–20242025 · 5 citations
  2. 2Development of a Wearable Sensor Platform for Fall Risk Assessment and Fall Detection2026
  3. 3Research of Fall Detection and Fall Prevention Technologies: A Review2026 · 3 citations
  4. 4A Systematic Review of Fall Detection and Prediction Technologies for Older Adults: An Analysis of Sensor Modalities and Computational Models2026 · 5 citations
  5. 5Wearable Technologies for Detecting Near‐Falls: A Systematic Review With Implications for Geriatric Nursing Practice2026 · 1 citations