Literature DB >> 26851471

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

Enrique Valero1, Aparajithan Sivanathan2, Frédéric Bosché3, Mohamed Abdel-Wahab4.   

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.
Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Entities:  

Keywords:  Biomechanics; Construction; Health; Inertial measurement unit; WMSDs; Well-being

Mesh:

Year:  2015        PMID: 26851471     DOI: 10.1016/j.apergo.2015.11.020

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  13 in total

1.  Statistical prediction of load carriage mode and magnitude from inertial sensor derived gait kinematics.

Authors:  Sol Lim; Clive D'Souza
Journal:  Appl Ergon       Date:  2018-11-29       Impact factor: 3.661

2.  Development and validation of smartwatch-based activity recognition models for rigging crew workers on cable logging operations.

Authors:  Eloise G Zimbelman; Robert F Keefe
Journal:  PLoS One       Date:  2021-05-12       Impact factor: 3.240

Review 3.  Musculoskeletal disorders: OWAS review.

Authors:  Marta Gómez-Galán; José Pérez-Alonso; Ángel-Jesús Callejón-Ferre; Javier López-Martínez
Journal:  Ind Health       Date:  2017-05-09       Impact factor: 2.179

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

Authors:  Ranavolo Alberto; Francesco Draicchio; Tiwana Varrecchia; Alessio Silvetti; Sergio Iavicoli
Journal:  Int J Environ Res Public Health       Date:  2018-09-13       Impact factor: 3.390

5.  Validation of Spatiotemporal and Kinematic Measures in Functional Exercises Using a Minimal Modeling Inertial Sensor Methodology.

Authors:  Benjamin R Hindle; Justin W L Keogh; Anna V Lorimer
Journal:  Sensors (Basel)       Date:  2020-08-15       Impact factor: 3.576

6.  Clinicians' perspectives on inertial measurement units in clinical practice.

Authors:  François Routhier; Noémie C Duclos; Émilie Lacroix; Josiane Lettre; Elizabeth Turcotte; Nathalie Hamel; François Michaud; Cyril Duclos; Philippe S Archambault; Laurent J Bouyer
Journal:  PLoS One       Date:  2020-11-13       Impact factor: 3.240

7.  Wearable Sensing Devices: Towards the Development of a Personalized System for Construction Safety and Health Risk Mitigation.

Authors:  Chukwuma Nnaji; Ibukun Awolusi; Jee Woong Park; Alex Albert
Journal:  Sensors (Basel)       Date:  2021-01-20       Impact factor: 3.576

Review 8.  Wearable Devices for Ergonomics: A Systematic Literature Review.

Authors:  Elena Stefana; Filippo Marciano; Diana Rossi; Paola Cocca; Giuseppe Tomasoni
Journal:  Sensors (Basel)       Date:  2021-01-24       Impact factor: 3.576

9.  Wearable IMU for Shoulder Injury Prevention in Overhead Sports.

Authors:  Samir A Rawashdeh; Derek A Rafeldt; Timothy L Uhl
Journal:  Sensors (Basel)       Date:  2016-11-03       Impact factor: 3.576

10.  Using Domain Knowledge for Interpretable and Competitive Multi-Class Human Activity Recognition.

Authors:  Sebastian Scheurer; Salvatore Tedesco; Kenneth N Brown; Brendan O'Flynn
Journal:  Sensors (Basel)       Date:  2020-02-22       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.