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Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement

[Purpose] The purpose of this study was to investigate the effects of seat pressure distribution measurements based on a specific posture to predict the pressure felt level when seated. [Subjects and Methods] To examine the relationship between body pressure data and the driver’s perception, eleven...

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Detalles Bibliográficos
Autores principales: Khamis, Nor Kamaliana, Deros, Baba Md
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Society of Physical Therapy Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016302/
https://www.ncbi.nlm.nih.gov/pubmed/29950761
http://dx.doi.org/10.1589/jpts.30.764
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author Khamis, Nor Kamaliana
Deros, Baba Md
author_facet Khamis, Nor Kamaliana
Deros, Baba Md
author_sort Khamis, Nor Kamaliana
collection PubMed
description [Purpose] The purpose of this study was to investigate the effects of seat pressure distribution measurements based on a specific posture to predict the pressure felt level when seated. [Subjects and Methods] To examine the relationship between body pressure data and the driver’s perception, eleven subjects were selected to participate in a simulated driving experiment using a pressure mat as a direct measurement method to measure the seat pan’s pressure distribution. The buttock-popliteal length was measured using an anthropometer, and the pressure felt ratings evaluated after the body pressure measurements were recorded. Accordingly, this was then followed by performing statistical analysis using seat pressure measurements, and the buttock-popliteal length as independent variables along with subjective ratings selected of the pressure felt by the drivers’ as dependent variables. [Results] The findings of this study suggest that the direct measurements and anthropometric body data are positively correlated with the predictive model thereby confirming the validity of the model with an R(2) value of 0.952. [Conclusion] The proposed model is expected to provide a useful reference value for new vehicle drivers by providing the pressure felt level based on direct and body measurements in a specific posture.
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spelling pubmed-60163022018-06-27 Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement Khamis, Nor Kamaliana Deros, Baba Md J Phys Ther Sci Original Article [Purpose] The purpose of this study was to investigate the effects of seat pressure distribution measurements based on a specific posture to predict the pressure felt level when seated. [Subjects and Methods] To examine the relationship between body pressure data and the driver’s perception, eleven subjects were selected to participate in a simulated driving experiment using a pressure mat as a direct measurement method to measure the seat pan’s pressure distribution. The buttock-popliteal length was measured using an anthropometer, and the pressure felt ratings evaluated after the body pressure measurements were recorded. Accordingly, this was then followed by performing statistical analysis using seat pressure measurements, and the buttock-popliteal length as independent variables along with subjective ratings selected of the pressure felt by the drivers’ as dependent variables. [Results] The findings of this study suggest that the direct measurements and anthropometric body data are positively correlated with the predictive model thereby confirming the validity of the model with an R(2) value of 0.952. [Conclusion] The proposed model is expected to provide a useful reference value for new vehicle drivers by providing the pressure felt level based on direct and body measurements in a specific posture. The Society of Physical Therapy Science 2018-06-12 2018-06 /pmc/articles/PMC6016302/ /pubmed/29950761 http://dx.doi.org/10.1589/jpts.30.764 Text en 2018©by the Society of Physical Therapy Science. Published by IPEC Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Article
Khamis, Nor Kamaliana
Deros, Baba Md
Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement
title Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement
title_full Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement
title_fullStr Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement
title_full_unstemmed Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement
title_short Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement
title_sort development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016302/
https://www.ncbi.nlm.nih.gov/pubmed/29950761
http://dx.doi.org/10.1589/jpts.30.764
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