Impact of Gait Parameters and Their Variability on Fall Risk Assessment Accuracy Using Wearable Sensor

Impact of Gait Parameters and Their Variability on Fall Risk Assessment Accuracy Using Wearable Sensor

Wearable sensors are increasingly utilized in fall risk assessments, providing precise stride-to-stride spatiotemporal gait parameters that are correlated with a heightened risk of falls. However, the impact of these gait parameters and their variability on the overall accuracy of fall risk predicti...

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Bibliographic Details
Main Authors: Jinghao Cai, Zeyang Guan, Jiachen Wang, Ziyun Ding, Yibin Li, Rui Song, Huanghe Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Fall risk assessment
gait variability
wearable sensors
machine learning
Online Access:https://ieeexplore.ieee.org/document/11008713/
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