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

Wearable sensors are revolutionizing fall-risk assessment, offering precision, portability, and practicality. Addressing usability, affordability, and standardization will be critical for equitable access, and its promise lies not only in preventing falls but in empowering the elderly with confidence and improving their quality of life.

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Publication Details

Journal
Medicine
Published
2025-08-29
DOI
https://doi.org/10.1097/md.0000000000044118
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Deepak Thazhakkattu Vasu, Goh Choon Hian, Kiruthika Selvakumar, Puspamalar Batumalai
Medicine
Balance, Gait, and Falls Prevention
article

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

Deepak Thazhakkattu Vasu, Goh Choon Hian, Kiruthika Selvakumar, Puspamalar Batumalai
article en

Abstract

Wearable sensors are revolutionizing fall-risk assessment, offering precision, portability, and practicality. Addressing usability, affordability, and standardization will be critical for equitable access, and its promise lies not only in preventing falls but in empowering the elderly with confidence and improving their quality of life.

MedicineVol. 104(35)
Universiti Tunku Abdul Rahman (MY)
Openalex Percentile: Top 63%
Balance, Gait, and Falls Prevention
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A bibliometric analysis of wearable sensors for fall-risk assessment in the elderly population — Deepak Thazhakkattu Vasu, Goh Choon Hian, et al. · Medicine (2025) | TGRS Research Map | TGRS