Refining indices of upper limb musculoskeletal disorder risk at work through motion analysis based quantitative data

肌肉骨骼疾病(MSD)尤其影响上肢，治疗费用非常高，而且恢复时间长，可能会妨碍及时重返工作岗位。这些痛苦的情况是在很长一段时间内发展起来的，疲劳、不适和压力是主要指标，尽管所有的姿势、重复、力量和心理社会因素都被认为是造成这种情况的原因。运动记录和分析可以定量和定性地确定日常生活活动(ADL)中已知的MSD风险因素。带有多摄像头三维运动分析系统的皮肤标记器，如VICON MCAMTM，与专门创建的计算机程序相结合，以模拟上肢的姿势和重复风险。在这项研究中，上臂的势能反映了姿势风险，而肘部、前臂和手的姿势将随着时间的推移进一步量化，相对于高风险的极端姿势。定性的运动描述将被用来揭示与MSD风险相关的重复模式。力量因素必须用外部传感器捕捉，这些传感器必须与姿势和重复因素以及感知的应激源相协调。这项工作建议首先在实验室环境中结合这些因素，然后在工作环境中与可穿戴数据捕获技术相结合，以研究工作年龄成年人常见的与工作相关的ADL。这将被用来定义一个实用的定量测量工具来描述MSD风险。这一工具将被应用于创建一个数据库，以便对那些没有已知上肢残疾的人群和那些有挑战的人群进行比较，这些人群包括单侧截肢和假肢使用、不适或活动受限。这种多方面的工具和数据收集将帮助工业工程师了解与实际工作方法相关的人体工程学MSD风险。

Musculoskeletal disorders (MSDs) particularly affect the upper limbs, are very costly to treat and are associated with long recovery times which can prevent timely return to work. These painful conditions develop over a long period of time with fatigue, discomfort and stress as leading indicators although all of posture, repetition, force and psychosocial factors are recognised to contribute. Motion recording and analysis allow both quantitative and qualitative determination of known MSD risk factors during Activities of Daily Living (ADLs). Skin-mounted markers with multi-camera 3-dimensional motion analysis systems like VICON MCAMTM are be coupled with specially created computer programs to model the upper limbs' postural and repetition risks. In this work, potential energy of the upper arms reflects postural risks, while elbow, forearm and hand postures will be further quantified over time relative to high-risk extreme postures. Qualitative motion descriptions will be used to reveal repetitive patterns associated with MSD risks. Force factors must be captured with external sensors which must be co-ordinated with postural and repetition factors, as well as perceived stressors. This work proposes to combine these factors first in a laboratory setting and subsequently in work environments with a wearable data capture technology to study working-aged adults' common work-related ADLs. This will be used to define a practical quantitative measurement tool to describe MSD risk. This tool will be applied to create a database allowing comparison across populations with no known upper limb disability and those with challenges, including unilateral amputation and prosthesis use, discomfort or mobility limitations. This multi-faceted tool and data collection will assist Industrial Engineers understand ergonomic MSD risks associated real work methods.