Development of a Tool for Comprehensive Balance Assessment Based on Artificial Intelligence and Anomaly Detection

Development of a Tool for Comprehensive Balance Assessment Based on Artificial Intelligence and Anomaly Detection

Falls, a major cause of injury and disability, particularly among older adults, present a significant public-health challenge. Existing methods of balance assessment often lack the sensitivity and specificity needed to identify subtle deviations from normal patterns, hindering early intervention. To...

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Bibliographic Details
Main Authors: Márcio Fagundes Goethel, Klaus Magno Becker, Franciele Carvalho Santos Parolini, Ulysses Fernandes Ervilha, João Paulo Vilas-Boas
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Life
Subjects:
balance
anomaly detection
artificial intelligence
artificial neural networks
Online Access:https://www.mdpi.com/2075-1729/15/4/632
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