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Posture Monitoring and Correction Exercises for Workers in Hostile Environments Utilizing Non-Invasive Sensors: Algorithm Development and Validation

Personal protective equipment (PPE) is an essential key factor in standardizing safety within the workplace. Harsh working environments with long working hours can cause stress on the human body that may lead to musculoskeletal disorder (MSD). MSD refers to injuries that impact the muscles, nerves,...

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Autores principales: Khaksar, Siavash, Pieters, Stefanie, Borazjani, Bita, Hyde, Joshua, Booker, Harrison, Khokhar, Adil, Murray, Iain, Campbell, Amity
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781722/
https://www.ncbi.nlm.nih.gov/pubmed/36559987
http://dx.doi.org/10.3390/s22249618
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author Khaksar, Siavash
Pieters, Stefanie
Borazjani, Bita
Hyde, Joshua
Booker, Harrison
Khokhar, Adil
Murray, Iain
Campbell, Amity
author_facet Khaksar, Siavash
Pieters, Stefanie
Borazjani, Bita
Hyde, Joshua
Booker, Harrison
Khokhar, Adil
Murray, Iain
Campbell, Amity
author_sort Khaksar, Siavash
collection PubMed
description Personal protective equipment (PPE) is an essential key factor in standardizing safety within the workplace. Harsh working environments with long working hours can cause stress on the human body that may lead to musculoskeletal disorder (MSD). MSD refers to injuries that impact the muscles, nerves, joints, and many other human body areas. Most work-related MSD results from hazardous manual tasks involving repetitive, sustained force, or repetitive movements in awkward postures. This paper presents collaborative research from the School of Electrical Engineering and School of Allied Health at Curtin University. The main objective was to develop a framework for posture correction exercises for workers in hostile environments, utilizing inertial measurement units (IMU). The developed system uses IMUs to record the head, back, and pelvis movements of a healthy participant without MSD and determine the range of motion of each joint. A simulation was developed to analyze the participant’s posture to determine whether the posture present would pose an increased risk of MSD with limits to a range of movement set based on the literature. When compared to measurements made by a goniometer, the body movement recorded 94% accuracy and the wrist movement recorded 96% accuracy.
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spelling pubmed-97817222022-12-24 Posture Monitoring and Correction Exercises for Workers in Hostile Environments Utilizing Non-Invasive Sensors: Algorithm Development and Validation Khaksar, Siavash Pieters, Stefanie Borazjani, Bita Hyde, Joshua Booker, Harrison Khokhar, Adil Murray, Iain Campbell, Amity Sensors (Basel) Article Personal protective equipment (PPE) is an essential key factor in standardizing safety within the workplace. Harsh working environments with long working hours can cause stress on the human body that may lead to musculoskeletal disorder (MSD). MSD refers to injuries that impact the muscles, nerves, joints, and many other human body areas. Most work-related MSD results from hazardous manual tasks involving repetitive, sustained force, or repetitive movements in awkward postures. This paper presents collaborative research from the School of Electrical Engineering and School of Allied Health at Curtin University. The main objective was to develop a framework for posture correction exercises for workers in hostile environments, utilizing inertial measurement units (IMU). The developed system uses IMUs to record the head, back, and pelvis movements of a healthy participant without MSD and determine the range of motion of each joint. A simulation was developed to analyze the participant’s posture to determine whether the posture present would pose an increased risk of MSD with limits to a range of movement set based on the literature. When compared to measurements made by a goniometer, the body movement recorded 94% accuracy and the wrist movement recorded 96% accuracy. MDPI 2022-12-08 /pmc/articles/PMC9781722/ /pubmed/36559987 http://dx.doi.org/10.3390/s22249618 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Khaksar, Siavash
Pieters, Stefanie
Borazjani, Bita
Hyde, Joshua
Booker, Harrison
Khokhar, Adil
Murray, Iain
Campbell, Amity
Posture Monitoring and Correction Exercises for Workers in Hostile Environments Utilizing Non-Invasive Sensors: Algorithm Development and Validation
title Posture Monitoring and Correction Exercises for Workers in Hostile Environments Utilizing Non-Invasive Sensors: Algorithm Development and Validation
title_full Posture Monitoring and Correction Exercises for Workers in Hostile Environments Utilizing Non-Invasive Sensors: Algorithm Development and Validation
title_fullStr Posture Monitoring and Correction Exercises for Workers in Hostile Environments Utilizing Non-Invasive Sensors: Algorithm Development and Validation
title_full_unstemmed Posture Monitoring and Correction Exercises for Workers in Hostile Environments Utilizing Non-Invasive Sensors: Algorithm Development and Validation
title_short Posture Monitoring and Correction Exercises for Workers in Hostile Environments Utilizing Non-Invasive Sensors: Algorithm Development and Validation
title_sort posture monitoring and correction exercises for workers in hostile environments utilizing non-invasive sensors: algorithm development and validation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781722/
https://www.ncbi.nlm.nih.gov/pubmed/36559987
http://dx.doi.org/10.3390/s22249618
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