Abstract

Accelerometer-based inclinometers have dominated kinematic measurements in previous field studies, while the use of inertial measurement units that additionally include gyroscopes is rapidly increasing. Recent laboratory studies suggest that these two sensor types and the two commonly used angular velocity computational methods may produce substantially different results. The aim of this study was, therefore, to evaluate the effects of sensor types and angular velocity computational methods on the measures of work postures and movements in a real occupational setting. Half-workday recordings of arm and trunk postures, and movements from 38 warehouse workers were compared using two sensor types: accelerometers versus accelerometers with gyroscopes—and using two angular velocity computational methods, i.e., inclination velocity versus generalized velocity. The results showed an overall small difference (<2° and value independent) for posture percentiles between the two sensor types, but substantial differences in movement percentiles both between the sensor types and between the angular computational methods. For example, the group mean of the 50th percentiles were for accelerometers: 71°/s (generalized velocity) and 33°/s (inclination velocity)—and for accelerometers with gyroscopes: 31°/s (generalized velocity) and 16°/s (inclination velocity). The significant effects of sensor types and angular computational methods on angular velocity measures in field work are important in inter-study comparisons and in comparisons to recommended threshold limit values.

Highlights

  • Work-related diseases and disorders are a global concern that effect societies, organizations, and individuals

  • Peak- and cumulative spinal load [15,16], cumulative rest time [17], and high trunk movement velocities [18,19,20] have been associated with low back pain (LBP) or a decline in low back function

  • Both the inclination angles and the angular velocities differed between the sensor angles and(acc) the angular velocities differed between the sensor types;Both thatthe is, inclination accelerometers alone and accelerometers with gyroscopes types; that is, accelerometers alone and accelerometers with gyroscopes

Read more

Summary

Introduction

Work-related diseases and disorders are a global concern that effect societies, organizations, and individuals. The major workrelated risk factors for musculoskeletal disorders (MSDs) include awkward postures, frequent movements, forceful exertion postures, heavy manual handling [3,4,5,6,7] and psychosocial factors such as job strain [8]. The specific risk factors associated with shoulder disorders include extended time with arms in elevated postures [4,10,11,12] and high arm movement velocities [13,14]. Peak- and cumulative spinal load [15,16], cumulative rest time [17], and high trunk movement velocities [18,19,20] have been associated with low back pain (LBP) or a decline in low back function. While several studies have reported an association between prolonged time in trunk flexion or in trunk axial rotation, and LBP or low back disorders [3,21], others report no significant associations or conflicting results [22,23,24], or negative associations [25]

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call