A novel optimization model for predicting trunk muscle forces during asymmetric lifting tasks

Abstract

Low back pain (LBP) is a social and economic problem throughout industry. Repetitive asymmetric postures frequently occur in manual materials handling tasks and such asymmetric lifting has been epidemiologically linked to LBP. Therefore, biomechanical lifting models must be developed to predict muscle forces during asymmetric lifting tasks. This paper proposes an optimization model that was revised to take into account the activities of trunk muscles during asymmetric lifting tasks. Also, three optimization models (minimize maximum muscle intensity: MIN_ I MAX, minimize sum of magnitudes of the muscle forces raised to power 3: MIN_ F 3, and minimize sum of the muscle intensities raised to power 3: MIN_ I 3) are compared under various asymmetric lifting conditions. The revised model not only reflects the twisting effect of muscle force vectors for eight primary trunk muscles when trunk rotation is involved, but also accurately predicts the forces of left erector spinae, left latissimus dorsi and left external oblique muscles when compared with EMG signals obtained from experiments. Furthermore, MIN_ I MAX exhibits the best prediction capability among the three optimization models. Relevance to industry A novel optimization model proposed herein considers the twisting effect of muscle force vectors for eight trunk muscles when trunk rotation is involved. An accurate biomechanical model which reflects the asymmetric lifting conditions would significantly facilitate the evaluation of job and workplace design as well as provide a practical clinical evaluation technique.