» Articles » PMID: 30217079

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

Overview
Publisher MDPI
Date 2018 Sep 16
PMID 30217079
Citations 45
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

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

Refai M, Varrecchia T, Chini G, Ranavolo A, Sartori M Front Bioeng Biotechnol. 2025; 13:1486931.

PMID: 39991136 PMC: 11842350. DOI: 10.3389/fbioe.2025.1486931.


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

Prisco G, Pirozzi M, Santone A, Cesarelli M, Esposito F, Gargiulo P Diagnostics (Basel). 2025; 15(1.

PMID: 39795633 PMC: 11720042. DOI: 10.3390/diagnostics15010105.


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

Lind C Sensors (Basel). 2024; 24(21).

PMID: 39517873 PMC: 11548609. DOI: 10.3390/s24216977.


Wearable Technology and Its Influence on Motor Development and Biomechanical Analysis.

Morouco P Int J Environ Res Public Health. 2024; 21(9).

PMID: 39338009 PMC: 11431778. DOI: 10.3390/ijerph21091126.


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

Cividino S, Zaninelli M, Redaelli V, Belluco P, Rinaldi F, Avramovic L Sensors (Basel). 2024; 24(17).

PMID: 39275614 PMC: 11398071. DOI: 10.3390/s24175703.


References
1.
Valero E, Sivanathan A, Bosche F, Abdel-Wahab M . Musculoskeletal disorders in construction: A review and a novel system for activity tracking with body area network. Appl Ergon. 2016; 54:120-30. DOI: 10.1016/j.apergo.2015.11.020. View

2.
Trask C, Teschke K, Village J, Chow Y, Johnson P, Luong N . Measuring low back injury risk factors in challenging work environments: an evaluation of cost and feasibility. Am J Ind Med. 2007; 50(9):687-96. DOI: 10.1002/ajim.20497. View

3.
Merletti R, Knaflitz M, De Luca C . Myoelectric manifestations of fatigue in voluntary and electrically elicited contractions. J Appl Physiol (1985). 1990; 69(5):1810-20. DOI: 10.1152/jappl.1990.69.5.1810. View

4.
Kim K, Kim K, Kim D, Jang S, Hong K, Yoo S . Characteristics of work-related musculoskeletal disorders in Korea and their work-relatedness evaluation. J Korean Med Sci. 2011; 25(Suppl):S77-86. PMC: 3023344. DOI: 10.3346/jkms.2010.25.S.S77. View

5.
Micera S, Sabatini A, Dario P . An algorithm for detecting the onset of muscle contraction by EMG signal processing. Med Eng Phys. 1998; 20(3):211-5. DOI: 10.1016/s1350-4533(98)00017-4. View