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On the OCRA Measurement: Automatic Computation of the Dynamic Technical Action Frequency Factor
OCRA (OCcupational Repetitive Action) is currently one of the most widespread procedures for assessing biomechanical risks related to upper limb repetitive movements. Frequency factor of the technical actions represents one of the OCRA elements. Actually, the frequency factor computation is based on...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146320/ https://www.ncbi.nlm.nih.gov/pubmed/32187980 http://dx.doi.org/10.3390/s20061643 |
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author | Taborri, Juri Bordignon, Marco Marcolin, Francesco Bertoz, Alessandro Donati, Marco Rossi, Stefano |
author_facet | Taborri, Juri Bordignon, Marco Marcolin, Francesco Bertoz, Alessandro Donati, Marco Rossi, Stefano |
author_sort | Taborri, Juri |
collection | PubMed |
description | OCRA (OCcupational Repetitive Action) is currently one of the most widespread procedures for assessing biomechanical risks related to upper limb repetitive movements. Frequency factor of the technical actions represents one of the OCRA elements. Actually, the frequency factor computation is based on workcycle video analysis, which is time-consuming and may lead to up to 30% of intra-operator variability. This paper aims at proposing an innovative procedure for the automatic counting of dynamic technical actions on the basis of inertial data. More specifically, a threshold-based algorithm was tested in four industrial case studies, involving a cohort of 20 workers. Nine combinations of the algorithm were tested by varying threshold values related to time and amplitude. The computation of frequency factor showed an average relative error lower than 5.7% in all industrial-based case studies after the appropriate selection of the time and amplitude threshold values. These findings open the possibility to use the threshold-based algorithm proposed here for the automatic computation of OCRA frequency factor, avoiding the time efforts in video analysis. |
format | Online Article Text |
id | pubmed-7146320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71463202020-04-15 On the OCRA Measurement: Automatic Computation of the Dynamic Technical Action Frequency Factor Taborri, Juri Bordignon, Marco Marcolin, Francesco Bertoz, Alessandro Donati, Marco Rossi, Stefano Sensors (Basel) Article OCRA (OCcupational Repetitive Action) is currently one of the most widespread procedures for assessing biomechanical risks related to upper limb repetitive movements. Frequency factor of the technical actions represents one of the OCRA elements. Actually, the frequency factor computation is based on workcycle video analysis, which is time-consuming and may lead to up to 30% of intra-operator variability. This paper aims at proposing an innovative procedure for the automatic counting of dynamic technical actions on the basis of inertial data. More specifically, a threshold-based algorithm was tested in four industrial case studies, involving a cohort of 20 workers. Nine combinations of the algorithm were tested by varying threshold values related to time and amplitude. The computation of frequency factor showed an average relative error lower than 5.7% in all industrial-based case studies after the appropriate selection of the time and amplitude threshold values. These findings open the possibility to use the threshold-based algorithm proposed here for the automatic computation of OCRA frequency factor, avoiding the time efforts in video analysis. MDPI 2020-03-16 /pmc/articles/PMC7146320/ /pubmed/32187980 http://dx.doi.org/10.3390/s20061643 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Taborri, Juri Bordignon, Marco Marcolin, Francesco Bertoz, Alessandro Donati, Marco Rossi, Stefano On the OCRA Measurement: Automatic Computation of the Dynamic Technical Action Frequency Factor |
title | On the OCRA Measurement: Automatic Computation of the Dynamic Technical Action Frequency Factor |
title_full | On the OCRA Measurement: Automatic Computation of the Dynamic Technical Action Frequency Factor |
title_fullStr | On the OCRA Measurement: Automatic Computation of the Dynamic Technical Action Frequency Factor |
title_full_unstemmed | On the OCRA Measurement: Automatic Computation of the Dynamic Technical Action Frequency Factor |
title_short | On the OCRA Measurement: Automatic Computation of the Dynamic Technical Action Frequency Factor |
title_sort | on the ocra measurement: automatic computation of the dynamic technical action frequency factor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146320/ https://www.ncbi.nlm.nih.gov/pubmed/32187980 http://dx.doi.org/10.3390/s20061643 |
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