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建筑行业中的肌肉骨骼疾病:综述及一种利用人体区域网络进行活动跟踪的新系统。

Musculoskeletal disorders in construction: A review and a novel system for activity tracking with body area network.

作者信息

Valero Enrique, Sivanathan Aparajithan, Bosché Frédéric, Abdel-Wahab Mohamed

机构信息

RAE Centre of Excellence in Sustainable Building Design, Heriot-Watt University, Edinburgh EH14 4AS, United Kingdom.

出版信息

Appl Ergon. 2016 May;54:120-30. doi: 10.1016/j.apergo.2015.11.020. Epub 2015 Dec 30.

Abstract

Human body motions have been analysed for decades with a view on enhancing occupational well-being and performance of workers. On-going progresses in miniaturised wearable sensors are set to revolutionise biomechanical analysis by providing accurate and real-time quantitative motion data. The construction industry has a poor record of occupational health, in particular with regard to work-related musculoskeletal disorders (WMSDs). In this article, we therefore focus on the study of human body motions that could cause WMSDs in construction-related activities. We first present an in-depth review of existing assessment frameworks used in practice for the evaluation of human body motion. Subsequently different methods for measuring working postures and motions are reviewed and compared, pointing out the technological developments, limitations and gaps; Inertial Measurement Units (IMUs) are particularly investigated. Finally, we introduce a new system to detect and characterise unsafe postures of construction workers based on the measurement of motion data from wearable wireless IMUs integrated in a body area network. The potential of this system is demonstrated through experiments conducts in a laboratory as well as in a college with actual construction trade trainees.

摘要

几十年来,人们一直在分析人体运动,目的是提高工人的职业幸福感和工作表现。随着微型可穿戴传感器的不断发展,通过提供准确的实时定量运动数据,有望彻底改变生物力学分析。建筑业的职业健康记录不佳,尤其是在与工作相关的肌肉骨骼疾病(WMSD)方面。因此,在本文中,我们重点研究在建筑相关活动中可能导致WMSD的人体运动。我们首先深入回顾了实际用于评估人体运动的现有评估框架。随后,对测量工作姿势和动作的不同方法进行了回顾和比较,指出了技术发展、局限性和差距;特别研究了惯性测量单元(IMU)。最后,我们介绍了一种新系统,该系统基于对集成在人体区域网络中的可穿戴无线IMU的运动数据测量,来检测和表征建筑工人的不安全姿势。通过在实验室以及在有实际建筑行业学员的学院中进行的实验,证明了该系统的潜力。

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