Publications by authors named "Gustavo Retamal"
Risk identification on workstations is a crucial step to prevent the occurrence of musculoskeletal disorders (MSD) in workers. The available methods and tools used by ergonomists to assess and estimate the risk related to manual handling of loads under repetitive work cycles are usually biased by the inter-evaluator error that can lead to a subjective determination of work-related risks due to the application of, mainly, observational methods. This paper shows the preliminary results of a platform to assess the risk of musculoskeletal disorders during manual load-handling tasks using an instrumented system and using the National Institute for Occupational Safety & Health (NIOSH) method.
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- - This study aimed to improve ergonomic risk assessments for upper limb activities by using a new inertial motion capture system combined with a digitalized OCRA index platform.
- - When tested against traditional risk classification methods in a semi-controlled environment, the optical system proved to be the most accurate, while the inertial system showed close performance but with greater portability and ease of use.
- - The results indicated that the inertial system not only matched the precision of both traditional and optical methods, achieving high accuracy scores but also significantly reduced assessment time by 65%, making it a practical option for ergonomic evaluations.
One of the consequences of aging is the increased risk of falls, especially when someone walks in unknown or uncontrolled environments. Usually, gait is evaluated through observation and clinical assessment scales to identify the state and deterioration of the patient's postural control. Lately, technological systems for bio-mechanical analysis have been used to determine abnormal gait states being expensive, difficult to use, and impossible to apply in real conditions.
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