Lumbar Skin Profile Prediction from Anterior and Lateral Torso Measurements
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2012
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu13430620902021-08-03T06:06:02Z Lumbar Skin Profile Prediction from Anterior and Lateral Torso Measurements Monat, Heath Barnhart Biomechanics lumbar spine seating skin profile <p>Biomechanical modeling of the spine is an important aspect of reducing the incidence of low back pain in the population. These models often rely on instrumentation placed on the back, prohibiting or severely limiting the ability to analyze tasks where the back is hidden from view. It is therefore difficult to perform subject-specific prediction of spinal loads in these situations, such as during seated work. The goal of this study was to predict the shape of the lumbar skin profile using measurements taken from the anterior and lateral aspects of the torso, furthering the ability to analyze tasks that presently prove difficult.</p><p>Thirty-nine subjects were used to create a regression model that predicts the coefficients of a quadratic polynomial describing the shape of the lumbar skin profile in the sagittal plane. Reflective markers were placed on landmarks and an optical motion capture system was used to collect position data. Markers were placed over the sternum and iliac crest to create a sternopelvic angle measure that was used in conjunction with anthropometric regressors to create the predictive model. Subjects assumed postures of 0, 10, 20, and 30 degrees of flexion and a polynomial was fit to markers that were placed over the spine. Data from eight additional subjects were used as an independent validation set to compare measured skin profiles to those that were reconstructed from the predicted polynomial coefficients.</p><p>A quadratic polynomial was found to be adequate to describe the shape of the lumbar skin profile. The regression was strong (r^2 = 0.87, 0.91 for coefficient prediction) and the skin profiles predicted for the validation subjects matched the measured profiles quite well (r^2 = 0.88, AAE = 5.4 mm). Similar results were observed during additional tasks designed to test the robustness of the regression model. Lumbar and scapular supports were used as chair back analogues for the validation subjects to see if accurate results could still be obtained for tasks with a full seat.</p><p>It was shown that the shape of the lumbar skin profile can be accurately reconstructed with a polynomial using predicted coefficients. This can be achieved by measuring torso angle using landmarks that are visible when the back is hidden from view. This study improved upon previous work by also including subject-specific components in the prediction of the lumbar skin profile. This methodology will further the goal of modeling spinal loads during tasks for which it is currently difficult or impossible to do so.</p> 2012-08-16 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1343062090 http://rave.ohiolink.edu/etdc/view?acc_num=osu1343062090 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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English |
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topic |
Biomechanics lumbar spine seating skin profile |
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Biomechanics lumbar spine seating skin profile Monat, Heath Barnhart Lumbar Skin Profile Prediction from Anterior and Lateral Torso Measurements |
author |
Monat, Heath Barnhart |
author_facet |
Monat, Heath Barnhart |
author_sort |
Monat, Heath Barnhart |
title |
Lumbar Skin Profile Prediction from Anterior and Lateral Torso Measurements |
title_short |
Lumbar Skin Profile Prediction from Anterior and Lateral Torso Measurements |
title_full |
Lumbar Skin Profile Prediction from Anterior and Lateral Torso Measurements |
title_fullStr |
Lumbar Skin Profile Prediction from Anterior and Lateral Torso Measurements |
title_full_unstemmed |
Lumbar Skin Profile Prediction from Anterior and Lateral Torso Measurements |
title_sort |
lumbar skin profile prediction from anterior and lateral torso measurements |
publisher |
The Ohio State University / OhioLINK |
publishDate |
2012 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1343062090 |
work_keys_str_mv |
AT monatheathbarnhart lumbarskinprofilepredictionfromanteriorandlateraltorsomeasurements |
_version_ |
1719430876833513472 |