Fall Risk Prediction Using Instrumented Footwear in Institutionalized Older Adults

Fall Risk Prediction Using Instrumented Footwear in Institutionalized Older Adults

This study presents a novel framework that utilizes instrumented footwear to predict fall risk in institutionalized older adults by leveraging stride-to-stride gait data. The older adults are categorized into fallers and non-fallers using three distinct criteria: retrospective fall history, prospect...

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Bibliographic Details
Main Authors: Huanghe Zhang, Chuanyan Wu, Yulong Huang, Rui Song, Damiano Zanotto, Sunil K. Agrawal
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Fall risk assessment
instrumented footwear
machine learning
Online Access:https://ieeexplore.ieee.org/document/10772477/
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https://ieeexplore.ieee.org/document/10772477/

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