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

肌肉骨骼疾病（MSDs）特别影响上肢，治疗费用非常昂贵，并且与恢复时间长有关，可能无法及时恢复工作。尽管所有的姿势、重复、力量和社会心理因素都被认为是造成这些疼痛的原因，但这些痛苦的状况是在很长一段时间内以疲劳、不适和压力为主要指标发展起来的。运动记录和分析可以定量和定性地确定日常生活活动（ADLs）中已知的MSD危险因素。带有多摄像头三维运动分析系统（如VICON MCAMTM）的皮肤标记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。在这项工作中，上臂的势能反映了姿势风险，而相对于高风险的极端姿势，肘部、前臂和手部姿势将随着时间的推移进一步量化。定性运动描述将用于揭示与MSD风险相关的重复模式。力因素必须用外部传感器捕获，外部传感器必须与姿势和重复因素以及感知的压力因素协调。这项工作建议首先在实验室环境中结合这些因素，然后在工作环境中使用可穿戴数据捕获技术来研究工作年龄成年人常见的与工作相关的adl。这将用于定义一个实用的定量测量工具来描述MSD风险。该工具将用于创建一个数据库，以便在没有已知上肢残疾的人群和有挑战的人群之间进行比较，包括单侧截肢和义肢使用、不适或行动限制。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.