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可穿戴监测设备在工作中的生物力学风险评估:现状与未来挑战——系统综述。

Wearable Monitoring Devices for Biomechanical Risk Assessment at Work: Current Status and Future Challenges-A Systematic Review.

机构信息

Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Via Fontana Candida 1, Monte Porzio Catone, 00078 Rome, Italy.

Department of Engineering, Roma TRE University, Via Vito Volterra 62, 00146 Rome, Italy.

出版信息

Int J Environ Res Public Health. 2018 Sep 13;15(9):2001. doi: 10.3390/ijerph15092001.


DOI:10.3390/ijerph15092001
PMID:30217079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6163390/
Abstract

: In order to reduce the risk of work-related musculoskeletal disorders (WMSDs) several methods have been developed, accepted by the international literature and used in the workplace. The purpose of this systematic review was to describe recent implementations of wearable sensors for quantitative instrumental-based biomechanical risk assessments in prevention of WMSDs. : Articles written until 7 May 2018 were selected from PubMed, Scopus, Google Scholar and Web of Science using specific keywords. : Instrumental approaches based on inertial measurement units and sEMG sensors have been used for direct evaluations to classify lifting tasks into low and high risk categories. Wearable sensors have also been used for direct instrumental evaluations in handling of low loads at high frequency activities by using the local myoelectric manifestation of muscle fatigue estimation. In the field of the rating of standard methods, on-body wireless sensors network-based approaches for real-time ergonomic assessment in industrial manufacturing have been proposed. : Few studies foresee the use of wearable technologies for biomechanical risk assessment although the requirement to obtain increasingly quantitative evaluations, the recent miniaturization process and the need to follow a constantly evolving manual handling scenario is prompting their use.

摘要

为降低与工作相关的肌肉骨骼疾病(WMSD)的风险,已经开发了多种方法,这些方法已被国际文献所接受并在工作场所使用。本系统综述的目的是描述可穿戴传感器在 WMSD 预防中的最新应用,以进行定量仪器生物力学风险评估。

使用特定关键字,从 PubMed、Scopus、Google Scholar 和 Web of Science 中选择截至 2018 年 5 月 7 日的文章。基于惯性测量单元和表面肌电传感器的仪器方法已被用于直接评估,将举升任务分为低风险和高风险类别。可穿戴传感器也已被用于通过估计肌肉疲劳的局部肌电表现来处理高频活动中的低负荷,进行直接仪器评估。在标准方法评定领域,提出了基于体域网无线传感器的方法,用于工业制造中的实时人体工程学评估。

尽管需要获得越来越定量的评估、最近的小型化过程以及需要跟踪不断发展的手动处理场景,但只有少数研究预见到可穿戴技术在生物力学风险评估中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e162/6163390/2864f47611ee/ijerph-15-02001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e162/6163390/89e7bc6858ad/ijerph-15-02001-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e162/6163390/2864f47611ee/ijerph-15-02001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e162/6163390/89e7bc6858ad/ijerph-15-02001-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e162/6163390/2864f47611ee/ijerph-15-02001-g002.jpg

相似文献

[1]
Wearable Monitoring Devices for Biomechanical Risk Assessment at Work: Current Status and Future Challenges-A Systematic Review.

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[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
Development and Validation of a Wearable Inertial Sensors-Based Automated System for Assessing Work-Related Musculoskeletal Disorders in the Workspace.

Int J Environ Res Public Health. 2020-8-20

[9]
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[10]
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引用本文的文献

[1]
Advancing Occupational Medicine through Wearable Technology: A Review of Sensor Systems for Biomechanical Risk Assessment and Work-Related Musculoskeletal Disorder Prevention.

ACS Sens. 2025-7-17

[2]
Assessing low-back loading during lifting using personalized electromyography-driven trunk models and NIOSH-based risk levels.

Front Bioeng Biotechnol. 2025-2-7

[3]
Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities.

Diagnostics (Basel). 2025-1-4

[4]
Effectiveness of Sensors-Based Augmented Feedback in Ergonomics to Reduce Adverse Biomechanical Exposure in Work-Related Manual Handling-A Rapid Review of the Evidence.

Sensors (Basel). 2024-10-30

[5]
Wearable Technology and Its Influence on Motor Development and Biomechanical Analysis.

Int J Environ Res Public Health. 2024-8-26

[6]
Preliminary Evaluation of New Wearable Sensors to Study Incongruous Postures Held by Employees in Viticulture.

Sensors (Basel). 2024-9-2

[7]
Approaches for the Use of AI in Workplace Health Promotion and Prevention: Systematic Scoping Review.

JMIR AI. 2024-8-20

[8]
Instrumental Evaluation of the Effects of Vertebral Consolidation Surgery on Trunk Muscle Activations and Co-Activations in Patients with Multiple Myeloma: Preliminary Results.

Sensors (Basel). 2024-5-30

[9]
A Rapid Review on the Effectiveness and Use of Wearable Biofeedback Motion Capture Systems in Ergonomics to Mitigate Adverse Postures and Movements of the Upper Body.

Sensors (Basel). 2024-5-23

[10]
Modification of the Revised National Institute for Occupational Safety and Health (NIOSH) Lifting Equation to Determine the Individual Manual Lifting Risk in Malaysia's Manufacturing Industry.

Cureus. 2024-4-7

本文引用的文献

[1]
The use of wearable devices for walking and running gait analysis outside of the lab: A systematic review.

Gait Posture. 2018-6

[2]
Nondestructive Estimation of Muscle Contributions to STS Training with Different Loadings Based on Wearable Sensor System.

Sensors (Basel). 2018-3-25

[3]
Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review.

Sensors (Basel). 2018-3-15

[4]
Scientific basis of ISO standards on biomechanical risk factors.

Scand J Work Environ Health. 2018-2-27

[5]
Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis.

Front Neurol. 2018-2-2

[6]
Low-back electromyography (EMG) data-driven load classification for dynamic lifting tasks.

PLoS One. 2018-2-15

[7]
Wearable sensors for clinical applications in epilepsy, Parkinson's disease, and stroke: a mixed-methods systematic review.

J Neurol. 2018-2-9

[8]
Assessment of an active industrial exoskeleton to aid dynamic lifting and lowering manual handling tasks.

Appl Ergon. 2017-11-21

[9]
Biomechanical evaluation of exoskeleton use on loading of the lumbar spine.

Appl Ergon. 2017-11-13

[10]
Classification and characterization of postural transitions using instrumented shoes.

Med Biol Eng Comput. 2018-1-12

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