Seafaring occupations have been shown to place operators at an increased risk for injury. The purpose of this study was to understand better the demands of a moving environment on the ability of a person to perform specific lifting tasks. Subjects lifted a 15-kg load under four different lifting conditions. A 6-degree-of-freedom ship motion simulator imposed repeatable deck motions under foot while subjects executed the lifting tasks. Subjects were oriented in three different positions on the simulator floor to inflict different motion profiles. Electromyographic records of four muscles were collected bilaterally, and thoracolumbar kinematics were measured. A repeated-measures ANOVA was employed to assess trunk motions and muscle activities across lifting and motion conditions. The erector spinae muscles showed a trend toward significant differences for motion effects. Maximal sagittal velocities were significantly smaller for all motion states in comparison with the stable condition (p
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http://dx.doi.org/10.1123/jab.24.2.103 DOI Listing Publication Analysis
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J Appl Biomech
January 2025
Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Repetitive manual labor tasks involving twisting, bending, and lifting commonly lead to lower back and knee injuries in the workplace. To identify tasks with high injury risk, we recruited N = 9 participants to perform industry-relevant, 2-handed lifts with a 11-kg weight. These included symmetrical/asymmetrical, ascending/descending lifts that varied in start-to-end heights (knee-to-waist and waist-to-shoulder).
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January 2025
Department of Orthopedics, Xuanwu Hospital Capital Medical University, Beijing, China.
Background: Lifting is generally considered as a risk factor for low back pain. A thorough investigation of the muscle function during lifting is essential for a better assessment of the potential risk of muscle impairment and towards improvements in lifting strategy. We aimed to compare the activities of the trunk muscles between the stoop and the squat lifting tasks.
View Article and Find Full Text PDFDisabil Rehabil Assist Technol
January 2025
Neurorehabilitation Engineering and Assistance Systems Research (NEAR), School of Mechanical Engineering, Universiti Sains Malaysia, Penang, Malaysia.
Work-related musculoskeletal disorders (WMSDs) during bed-to-wheelchair and wheelchair-to-commode transfers are a significant concern, yet prior assessments often focused on specific subtasks, overlooking potential cumulative risks. This study employed Xsens Inertial Measurement Units (IMUs) and force plates integrated with an automated Rapid Entire Body Assessment (REBA) system to provide a continuous and comprehensive evaluation of WMSDs risks associated with the use of a walking belt and a floor lift. The continuous assessment revealed peak REBA scores ranging from 8.
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December 2024
National Institute for Occupational Safety and Health, Cincinnati, OH 45226, USA.
The American Conference of Governmental Industrial Hygienists (ACGIH) Threshold Limit Values (TLVs) for lifting provides risk zones for assessing two-handed lifting tasks. This paper describes two computational models for identifying the lifting risk zones using gyroscope information from five inertial measurement units (IMUs) attached to the lifter. Two models were developed: (1) the ratio model using body segment length ratios of the forearm, upper arm, trunk, thigh, and calf segments, and (2) the ratio + length model using actual measurements of the body segments in the ratio model.
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January 2025
Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.
: 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 complex to apply due to the absence of a streamlined, standardized framework. Recently, integrating wearable sensors with artificial intelligence has emerged as a promising approach to effectively monitor and mitigate biomechanical risks.
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