Chen Yinong, Yin Wei, Zheng Liying, Mehta Ranjana, Zhang Xudong
Texas A&M University, USA.
National Institute for Occupational Safety and Health, USA.
Hum Factors. 2025 Jul;67(7):641-655. doi: 10.1177/00187208241311271. Epub 2025 Jan 3.
ObjectiveTo investigate the biodynamics of human-exoskeleton interactions during patient handling tasks using a subject-specific modeling approach.BackgroundExoskeleton technology holds promise for mitigating musculoskeletal disorders caused by manual handling and most alarmingly by patient handling jobs. A deeper, more unified understanding of the biomechanical effects of exoskeleton use calls for advanced subject-specific models of complex, dynamic human-exoskeleton interactions.MethodsTwelve sex-balanced healthy participants performed three simulated patient handling tasks along with a reference load-lifting task, with and without wearing the exoskeleton, while their full-body motion and ground reaction forces were measured. Subject-specific models were constructed using motion and force data. Biodynamic response variables derived from the models were analyzed to examine the effects of the exoskeleton. Model validation used load-lifting trials with known hand forces.ResultsThe use of exoskeleton significantly reduced (19.7%-27.2%) the peak lumbar flexion moment but increased (26.4%-47.8%) the peak lumbar flexion motion, with greater moment percent reduction in more symmetric handling tasks; similarly affected the shoulder joint moments and motions but only during two more symmetric handling tasks; and significantly reduced the peak motions for the rest of the body joints.ConclusionSubject-specific biodynamic models simulating exoskeleton-assisted patient handling were constructed and validated, demonstrating that the exoskeleton effectively lessened the peak loading to the lumbar and shoulder joints as prime movers while redistributing more motions to these joints and less to the remaining joints.ApplicationThe findings offer new insights into biodynamic responses during exoskeleton-assisted patient handling, benefiting the development of more effective, possibly task- and individual-customized, exoskeletons.
目的
采用特定个体建模方法,研究患者搬运任务中人体与外骨骼相互作用的生物动力学。
背景
外骨骼技术有望减轻因人工搬运,尤其是患者搬运工作导致的肌肉骨骼疾病。要更深入、更全面地理解外骨骼使用的生物力学效应,需要先进的特定个体模型来模拟复杂的动态人体-外骨骼相互作用。
方法
12名性别均衡的健康参与者进行了三项模拟患者搬运任务以及一项参考举重任务,分别在穿戴和不穿戴外骨骼的情况下进行,同时测量他们的全身运动和地面反作用力。利用运动和力数据构建特定个体模型。分析模型得出的生物动力学响应变量,以检验外骨骼的效果。模型验证采用已知手部力量的举重试验。
结果
使用外骨骼显著降低了(19.7%-27.2%)腰椎屈曲力矩峰值,但增加了(26.4%-47.8%)腰椎屈曲运动峰值,在更对称的搬运任务中力矩降低百分比更大;对外肩关节力矩和运动有类似影响,但仅在两项更对称的搬运任务中;并显著降低了身体其他关节的运动峰值。
结论
构建并验证了模拟外骨骼辅助患者搬运的特定个体生物动力学模型,表明外骨骼有效地减轻了作为主要运动部位的腰椎和肩关节的峰值负荷,同时将更多运动重新分配到这些关节,而减少了其他关节的运动。
应用
这些发现为外骨骼辅助患者搬运过程中的生物动力学响应提供了新见解,有助于开发更有效、可能针对任务和个体定制的外骨骼。