School of Engineering, Monash University Malaysia, Bandar Sunway, 47500, Selangor, Malaysia.
Monash Industry Palm Oil Research Platform, Monash University Malaysia, Bandar Sunway, 47500, Selangor, Malaysia.
Sci Rep. 2022 May 14;12(1):8010. doi: 10.1038/s41598-022-12088-6.
Oil palm harvesting is a labor-intensive activity and yet it was rarely investigated. Studies showed that complementing human motion analysis with musculoskeletal modelling and simulation can provide valuable information about the dynamics of the joints and muscles. Therefore, this study aims to be the first to create and evaluate an upper extremity musculoskeletal model of the oil palm harvesting motion and to assess the associated Musculoskeletal Disorder (MSD) risk. Tests were conducted at a Malaysia oil palm plantation. Six Inertial Measurement Units (IMU) and Surface Electromyography (sEMG) were used to collect kinematics of the back, shoulder and elbow joints and to measure the muscle activations of longissimus, multifidus, biceps and triceps. The simulated joint angles and muscle activations were validated against the commercial motion capture tool and sEMG, respectively. The muscle forces, joint moments and activations of rectus abdominis, iliocostalis, external oblique, internal oblique and latissimus dorsi were investigated. Findings showed that the longissimus, iliocostalis and rectus abdominis were the primary muscles relied on during harvesting. The harvesters were exposed to a higher risk of MSD while performing back flexion and back rotation. These findings provide insights into the dynamical behavior of the upper extremity muscles and joints that can potentially be used to derive ways to improve the ergonomics of oil palm harvesting, minimize the MSD risk and to design and develop assistive engineering and technological devices or tools for this activity.
油棕收获是一项劳动密集型活动,但很少有人对此进行研究。研究表明,将人体运动分析与肌肉骨骼建模和仿真相结合,可以提供有关关节和肌肉动力学的有价值信息。因此,本研究旨在首次创建和评估油棕收获运动的上肢肌肉骨骼模型,并评估相关肌肉骨骼障碍 (MSD) 风险。测试在马来西亚的一个油棕种植园进行。六个惯性测量单元 (IMU) 和表面肌电图 (sEMG) 用于收集背部、肩部和肘部关节的运动学数据,并测量竖脊肌、多裂肌、二头肌和三头肌的肌肉激活情况。模拟关节角度和肌肉激活情况分别与商业运动捕捉工具和 sEMG 进行了验证。还研究了腹直肌、髂肋肌、腹外斜肌、腹内斜肌和背阔肌的肌肉力量、关节力矩和激活情况。研究结果表明,在收获过程中,竖脊肌、髂肋肌和腹直肌是主要依赖的肌肉。在进行后屈和后旋时,收割者面临更高的 MSD 风险。这些发现为上肢肌肉和关节的动力学行为提供了深入了解,这些信息可以用于改善油棕收获的人体工程学,最小化 MSD 风险,并为该活动设计和开发辅助工程和技术设备或工具。