Introduction Back pain and upper limb muscle pain are frequently reported by workers. Reducing posture related risks is important to prevent muskuloskeletal disorders. This study aims to (1) develop an easy-to-use system measuring awkward back and shoulders postures, and (2) identify high-risk locations of the working area. Methods Four Inertial Measurement Units (IMUs) are used to track workers’ awkward back and shoulders postures during a workday. IMUs are attached to the back (one sensor is attached with a clip on the belt and one integrated in the t-shirt on the upper spine) and upper arms (integrated in both upper arm sleeves). For location tracking, a location tag is attached to the t-shirt. Signals from the tags are captured by multiple anchors and forwarded to the server calculating the real-time location. Results Raw IMU position data can be converted to the desired output (e.g. frequency of dynamic movements). The data output of the IMUs is also integrated with the location data. Using different colors, high risk locations can be identified on a heat map. By comparing a work station before and after ergonomic adaptations, the impact of these adaptations on back and shoulder posture could be established. Discussion By using IMUs in combination with location tracking, high-risk locations could be detected. Additionally, the effectiveness of ergonomic interventions could be monitored. This information may contribute to the design of new and existing working environments. Conclusion IMUs in combination with location tracking can measure awkward back and shoulders postures and identify high-risk locations, before or after ergonomic interventions.
No takes yet. Share an insight, caveat, or question.
Ghoos et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: