Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning

Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning

Accurate balance assessment is important in healthcare for identifying and managing conditions affecting stability and coordination. It plays a key role in preventing falls, understanding movement disorders, and designing appropriate therapeutic interventions across various age groups and medical co...

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Bibliographic Details
Main Authors: Marjan Nassajpour, Mustafa Shuqair, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Digital Health
Subjects:
balance assessment
wearable sensors
machine learning
m-CTSIB
XGBOOST
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2024.1366176/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2024.1366176/full

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