Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities

Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities

<b>Background/Objectives</b>: Long-term work-related musculoskeletal disorders are predominantly influenced by factors such as the duration, intensity, and repetitive nature of load lifting. Although traditional ergonomic assessment tools can be effective, they are often challenging and...

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Bibliographic Details
Main Authors: Giuseppe Prisco, Maria Agnese Pirozzi, Antonella Santone, Mario Cesarelli, Fabrizio Esposito, Paolo Gargiulo, Francesco Amato, Leandro Donisi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Diagnostics
Subjects:
biomechanical risk assessment
machine learning
physical ergonomics
postural sway
Revised NIOSH Lifting Equation
wearable inertial sensors
Online Access:https://www.mdpi.com/2075-4418/15/1/105
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