Comparison of machine learning approaches for near-fall-detection with motion sensors

Comparison of machine learning approaches for near-fall-detection with motion sensors

IntroductionFalls are one of the most common causes of emergency hospital visits in older people. Early recognition of an increased fall risk, which can be indicated by the occurrence of near-falls, is important to initiate interventions.MethodsIn a study with 87 subjects we simulated near-fall even...

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Bibliographic Details
Main Authors: Sandra Hellmers, Elias Krey, Arber Gashi, Jessica Koschate, Laura Schmidt, Tim Stuckenschneider, Andreas Hein, Tania Zieschang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Digital Health
Subjects:
near-fall
perturbation
CNN
machine learning
IMU
fall risk
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2023.1223845/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2023.1223845/full

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